EVIDENCE FROM THE LAB

Look inside the results.

Quality, context, speed, and memory. Every result stays attached to the test that produced it.

729result records109test profiles

Historical GPU campaigns: RTX 5090 · 32 GBFlash-Next reviewed 21 October 2026

New: Nemotron Bolt versus Qwen3.8-27B. Official paired quality, primary six-haystack HH-2.0, separate post hoc diagnostics, native and accelerated serving profiles. Explore the results →

Also available: Flash-Next versus Qwen3.8-27B. Full Off, matched xHigh, separate HH2 and provisional XBench profiles retain their measurements and denominators.

Also available: Six Qwen3.8-27B Q6 models in Blender. All 24 retained attempts, the six-model measured summary and separate Codex editorial ratings. Structural /8 scores do not establish visual quality.

Benchmark results explorer

Capture dates refer to the original tests. Video, review, and audit dates are labeled separately. Open a result for software versions, timestamp precision, and recorded settings.

QuantBench / Reviewed: 10 Oct 2026

12/16 GB · QuantBench thinking on

Equal-task scores for seven thinking-capable model files.

Read the source
Highest observed score

87.21 / 100

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1PrismML llama.cpp b10709
Runtime / extension
llama.cpp · version not recordedPrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7llama.cpp extension 2.50.0 · selectedllama.cpp extension 2.47.0 · selectedllama.cpp extension 2.51.0 · selected
Benchmark
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
Thinking
On; effort differs by model
MTP
Off
K / V cache
Q4_0 / Q4_0

Each of 50 tasks has equal weight after averaging its full-cohort and seed 5091/5092 executions. Seed 5090 repeats excluded by aggregation policy. Repeat coverage differs. On/Off samplers and effort controls also differ; this does not isolate a thinking-toggle effect.

7 results

Mean generation tok/s across all completed original-series executions, including seed 5090; excludes prefill · — = not available

12/16 GB · QuantBench thinking on. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3.8-27B Heretic GSQ-RCO IQ3_XXSOn; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Controlled Medium
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
Flash attention
Enabled
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.50.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
85.99080745/100
Score executions
70
Timing executions
80
Median task wall time
69.583500 seconds
Full-cohort cap count
0/50
Thinking effort
Controlled Medium
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
GGUF filename
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
GGUF repository
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
GGUF revision
Not recorded
GGUF size
9.84340042 GiB
GGUF SHA-256
475be499f4bc4f729a811e24ad11419bd187d345af18eff494b89c8ba55a0039
All measurements and denominators (5)
full cohort score
85.990807 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
69.5835 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

87.21
87.46—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Bonsai 2 27B PTQ1_0On; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Controlled Medium
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0.05
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
77.60577326/100
Score executions
70
Timing executions
80
Median task wall time
60.443500 seconds
Full-cohort cap count
0/50
Thinking effort
Controlled Medium
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0.05
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (5)
full cohort score
77.605773 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
60.4435 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

78.57
116.32—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Bonsai 2 27B PQ2_0On; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Controlled Medium
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0.05
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
77.37150174/100
Score executions
70
Timing executions
80
Median task wall time
53.065000 seconds
Full-cohort cap count
0/50
Thinking effort
Controlled Medium
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0.05
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (5)
full cohort score
77.371502 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
53.065 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

76.87
110.61—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Gemma 4 12B IT QAT Q4_0On; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Gemma 4 12B IT QAT Q4_0

Gemma 4 12B IT QAT Q4_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Native enabled; effort uncontrolled
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 64; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
70.29664398/100
Score executions
70
Timing executions
80
Median task wall time
89.119500 seconds
Full-cohort cap count
0/50
Thinking effort
Native enabled; effort uncontrolled
Sampler
temperature 1; top-p 0.95; top-k 64; min-p 0
GGUF filename
gemma-4-12b-it-qat-q4_0.gguf
GGUF repository
google/gemma-4-12B-it-qat-q4_0-gguf
GGUF revision
Not recorded
GGUF size
6.49679387 GiB
GGUF SHA-256
93567e57a8fe10b23569b9d9ec38cd005deedf71e29477c421a4b83f418a538b
All measurements and denominators (5)
full cohort score
70.296644 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
89.1195 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

69.02
105.26—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Qwen3.5 9B Q5_K_MOn; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 9B Q5_K_M

Qwen3.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Native enabled; effort uncontrolled
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
Flash attention
Enabled
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.50.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
67.48140039/100
Score executions
70
Timing executions
80
Median task wall time
83.515000 seconds
Full-cohort cap count
0/50
Thinking effort
Native enabled; effort uncontrolled
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
GGUF filename
Qwen3.5-9B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.12609217 GiB
GGUF SHA-256
dc2a39aef291f91a9116ad214058da0d86eb648743a124bd8c333787c4b9c91c
All measurements and denominators (5)
full cohort score
67.4814 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
83.515 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

68.05
139.30—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Qwen3.5 4B Q5_K_MOn; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 4B Q5_K_M

Qwen3.5 4B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Native enabled; effort uncontrolled
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
55.30651355/100
Score executions
70
Timing executions
80
Median task wall time
56.569000 seconds
Full-cohort cap count
0/50
Thinking effort
Native enabled; effort uncontrolled
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
GGUF filename
Qwen3.5-4B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-4B-GGUF
GGUF revision
e87f176479d0855a907a41277aca2f8ee7a09523
GGUF size
2.92775837 GiB
GGUF SHA-256
8814232b85594dcd46c50e5b8b29324a7efe9e746edbe8a3d1df3d3fce7aad39
All measurements and denominators (5)
full cohort score
55.306514 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
56.569 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

56.11
201.69—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Ornith 1.5 9B Q5_K_MOn; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ornith 1.5 9B Q5_K_M

Ornith 1.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Native enabled; effort uncontrolled
MTP
Off
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
39.67465278/100
Score executions
60
Timing executions
70
Median task wall time
144.234500 seconds
Full-cohort cap count
9/50
Thinking effort
Native enabled; effort uncontrolled
Sampler
temperature 1; top-p 0.95; top-k 20; min-p 0
GGUF filename
Ornith-1.5-9B-Q5_K_M.gguf
GGUF repository
ornith-ai/Ornith-1.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.18635172 GiB
GGUF SHA-256
e4d9634a3b6546a5c00a8680568fe1125f6c98c704ee51ae52ba07650fb4247d
All measurements and denominators (5)
full cohort score
39.674653 points/10050-task cohort
score execution count
60 executionsequal-task scoring input
timing execution count
70 executionsoriginal series including baseline repeat
median task wall seconds
144.2345 secondstiming execution pool
full cohort context cap count
9 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

40.15
132.15—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.

QuantBench / Reviewed: 10 Oct 2026

12/16 GB · QuantBench thinking off

Equal-task scores for seven thinking-capable model files.

Read the source
Highest observed score

54.17 / 100

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1PrismML llama.cpp b10709
Runtime / extension
llama.cpp extension 2.47.0 · selectedPrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7llama.cpp · version not recorded
Benchmark
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
Thinking
Off; effort differs by model
MTP
Off
K / V cache
Q4_0 / Q4_0

Each of 50 tasks has equal weight after averaging its full-cohort and seed 5091/5092 executions. Seed 5090 repeats excluded by aggregation policy. Repeat coverage differs. On/Off samplers and effort controls also differ; this does not isolate a thinking-toggle effect.

7 results

Mean generation tok/s across all completed original-series executions, including seed 5090; excludes prefill · — = not available

12/16 GB · QuantBench thinking off. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3.8-27B Heretic GSQ-RCO IQ3_XXSOff; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
52.77970632/100
Score executions
70
Timing executions
80
Median task wall time
6.800500 seconds
Full-cohort cap count
0/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
GGUF repository
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
GGUF revision
Not recorded
GGUF size
9.84340042 GiB
GGUF SHA-256
475be499f4bc4f729a811e24ad11419bd187d345af18eff494b89c8ba55a0039
All measurements and denominators (5)
full cohort score
52.779706 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
6.8005 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

54.17
91.85—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Bonsai 2 27B PTQ1_0Off; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
45.72898675/100
Score executions
70
Timing executions
80
Median task wall time
5.142000 seconds
Full-cohort cap count
0/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (5)
full cohort score
45.728987 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
5.142 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

46.04
116.59—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Bonsai 2 27B PQ2_0Off; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
45.34842900/100
Score executions
70
Timing executions
80
Median task wall time
4.494000 seconds
Full-cohort cap count
0/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (5)
full cohort score
45.348429 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
4.494 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

45.93
123.28—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Gemma 4 12B IT QAT Q4_0Off; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Gemma 4 12B IT QAT Q4_0

Gemma 4 12B IT QAT Q4_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
43.15048341/100
Score executions
70
Timing executions
80
Median task wall time
5.875500 seconds
Full-cohort cap count
2/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
gemma-4-12b-it-qat-q4_0.gguf
GGUF repository
google/gemma-4-12B-it-qat-q4_0-gguf
GGUF revision
Not recorded
GGUF size
6.49679387 GiB
GGUF SHA-256
93567e57a8fe10b23569b9d9ec38cd005deedf71e29477c421a4b83f418a538b
Recovery
Complete 50-task cohort joins 36 + 14 saved answers
All measurements and denominators (5)
full cohort score
43.150483 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
5.8755 secondstiming execution pool
full cohort context cap count
2 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

43.65
106.73—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Qwen3.5 9B Q5_K_MOff; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 9B Q5_K_M

Qwen3.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
33.59314350/100
Score executions
70
Timing executions
80
Median task wall time
3.458000 seconds
Full-cohort cap count
0/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
Qwen3.5-9B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.12609217 GiB
GGUF SHA-256
dc2a39aef291f91a9116ad214058da0d86eb648743a124bd8c333787c4b9c91c
All measurements and denominators (5)
full cohort score
33.593144 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
3.458 secondstiming execution pool
full cohort context cap count
0 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

31.83
170.66—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Qwen3.5 4B Q5_K_MOff; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 4B Q5_K_M

Qwen3.5 4B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
27.69365575/100
Score executions
70
Timing executions
80
Median task wall time
2.364500 seconds
Full-cohort cap count
2/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
Qwen3.5-4B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-4B-GGUF
GGUF revision
e87f176479d0855a907a41277aca2f8ee7a09523
GGUF size
2.92775837 GiB
GGUF SHA-256
8814232b85594dcd46c50e5b8b29324a7efe9e746edbe8a3d1df3d3fce7aad39
All measurements and denominators (5)
full cohort score
27.693656 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
2.3645 secondstiming execution pool
full cohort context cap count
2 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

27.07
241.35—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.
Ornith 1.5 9B Q5_K_MOff; effort differs by model · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ornith 1.5 9B Q5_K_M

Ornith 1.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536
K / V cache
Q4_0 / Q4_0
Thinking
Disabled
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Flash attention
Enabled
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Aggregation
Equal weight per task; full cohort plus available seeds 5091/5092
Full-cohort score
27.36883697/100
Score executions
70
Timing executions
80
Median task wall time
3.625000 seconds
Full-cohort cap count
1/50
Thinking effort
Disabled
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
GGUF filename
Ornith-1.5-9B-Q5_K_M.gguf
GGUF repository
ornith-ai/Ornith-1.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.18635172 GiB
GGUF SHA-256
e4d9634a3b6546a5c00a8680568fe1125f6c98c704ee51ae52ba07650fb4247d
All measurements and denominators (5)
full cohort score
27.368837 points/10050-task cohort
score execution count
70 executionsequal-task scoring input
timing execution count
80 executionsoriginal series including baseline repeat
median task wall seconds
3.625 secondstiming execution pool
full cohort context cap count
1 executions50-task cohort

Caps retain saved penalties. Full-cohort and repeat statistics use different denominators.

26.45
168.96—
—
CompleteCaps retain saved penalties. Full-cohort and repeat statistics use different denominators.

QuantBench / Reviewed: 10 Oct 2026

12/16 GB · QuantBench Instruct original

Complete 50-task Instruct cohorts, with adjusted Ministral settings kept separate.

Read the source
Highest observed score

27.67 / 100

Qwen3 4B Instruct 2507 Q5_K_M
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.47.0 · selected
Benchmark
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q4_0 / Q4_0

Original temperature 0.7. Adjusted Ministral temperature 0.05 with generic reasoning parsing disabled. This does not isolate a temperature effect. Original Ministral 3B uses a recovered 1 + 49 answer join.

4 results

Mean generation tok/s across this complete 50-task cohort; excludes prefill · — = not available

12/16 GB · QuantBench Instruct original. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3 4B Instruct 2507 Q5_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3 4B Instruct 2507 Q5_K_M

Qwen3 4B Instruct 2507 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Original per-request configuration
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.7
Generic reasoning parsing
Original configuration
Median task wall time
2.293000 seconds
Full-cohort context caps
0
GGUF filename
Qwen_Qwen3-4B-Instruct-2507-Q5_K_M.gguf
GGUF repository
bartowski/Qwen_Qwen3-4B-Instruct-2507-GGUF
GGUF revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
GGUF size
2.69106933 GiB
GGUF SHA-256
66713ce35a58a82fe87642d4ec13425bf9b9a46800fff5c49a665ef5701439dc
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
2.293 seconds50-task cohort
context cap count
0 executions50-task cohort
27.67
235.86—
—
Complete
Ministral 3 14B Q4_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 14B Instruct 2512 Q4_K_M

Ministral 3 14B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Original per-request configuration
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.7
Generic reasoning parsing
Original configuration
Median task wall time
5.163000 seconds
Full-cohort context caps
0
GGUF filename
Ministral-3-14B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-14B-Instruct-2512-GGUF
GGUF revision
74fac473c43357d7fb2671713608183cc72496d0
GGUF size
7.67371899 GiB
GGUF SHA-256
824e0f3373e69b84f2cae46fdcb9bd1ebc6ab3bfc7acc125d818b7b8178cc613
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
5.163 seconds50-task cohort
context cap count
0 executions50-task cohort
26.27
112.71—
—
Complete
Ministral 3 8B Q4_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 8B Instruct 2512 Q4_K_M

Ministral 3 8B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Original per-request configuration
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.7
Generic reasoning parsing
Original configuration
Median task wall time
5.976000 seconds
Full-cohort context caps
0
GGUF filename
Ministral-3-8B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-8B-Instruct-2512-GGUF
GGUF revision
0102285ad796bd99af90f58de616092e5630e970
GGUF size
4.84186402 GiB
GGUF SHA-256
33e7a72cf5e6e2cfc2f2847075acc013d68bba023e35310cef86b5cf8fdca761
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
5.976 seconds50-task cohort
context cap count
0 executions50-task cohort
17.03
158.30—
—
Complete
Ministral 3 3B Q5_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 3B Instruct 2512 Q5_K_M

Ministral 3 3B Instruct 2512 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.7; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Original per-request configuration
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.7
Generic reasoning parsing
Original configuration
Median task wall time
2.731500 seconds
Full-cohort context caps
0
GGUF filename
Ministral-3-3B-Instruct-2512-Q5_K_M.gguf
GGUF repository
mistralai/Ministral-3-3B-Instruct-2512-GGUF
GGUF revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
GGUF size
2.30425850 GiB
GGUF SHA-256
e23dd88b0e0951d3f5784d6d4092210cda2b006b251f33b226b283a6c9d1f6bb
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
2.7315 seconds50-task cohort
context cap count
0 executions50-task cohort
9.48
257.20—
—
Complete

QuantBench / Reviewed: 10 Oct 2026

12/16 GB · QuantBench Instruct corrected

Complete 50-task Instruct cohorts, with adjusted Ministral settings kept separate.

Read the source
Highest observed score

30.43 / 100

Ministral 3 14B Q4_K_M
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.51.0 · selected
Benchmark
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q4_0 / Q4_0

Original temperature 0.7. Adjusted Ministral temperature 0.05 with generic reasoning parsing disabled. This does not isolate a temperature effect. Original Ministral 3B uses a recovered 1 + 49 answer join.

3 results

Mean generation tok/s across this complete 50-task cohort; excludes prefill · — = not available

12/16 GB · QuantBench Instruct corrected. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Ministral 3 14B Q4_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 14B Instruct 2512 Q4_K_M

Ministral 3 14B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.05; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Disabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.05
Generic reasoning parsing
Disabled
Median task wall time
4.970500 seconds
Full-cohort context caps
0
GGUF filename
Ministral-3-14B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-14B-Instruct-2512-GGUF
GGUF revision
74fac473c43357d7fb2671713608183cc72496d0
GGUF size
7.67371899 GiB
GGUF SHA-256
824e0f3373e69b84f2cae46fdcb9bd1ebc6ab3bfc7acc125d818b7b8178cc613
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
4.9705 seconds50-task cohort
context cap count
0 executions50-task cohort
30.43
111.32—
—
Complete
Ministral 3 8B Q4_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 8B Instruct 2512 Q4_K_M

Ministral 3 8B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.05; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Disabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.05
Generic reasoning parsing
Disabled
Median task wall time
6.896000 seconds
Full-cohort context caps
4
GGUF filename
Ministral-3-8B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-8B-Instruct-2512-GGUF
GGUF revision
0102285ad796bd99af90f58de616092e5630e970
GGUF size
4.84186402 GiB
GGUF SHA-256
33e7a72cf5e6e2cfc2f2847075acc013d68bba023e35310cef86b5cf8fdca761
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
6.896 seconds50-task cohort
context cap count
4 executions50-task cohort
19.87
143.70—
—
Complete
Ministral 3 3B Q5_K_MOff · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 3B Instruct 2512 Q5_K_M

Ministral 3 3B Instruct 2512 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Off
MTP
Off
Sampler
temperature 0.05; top-p 0.9; top-k 40; min-p 0
Generic reasoning parsing
Disabled
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
65,536 tokens
MTP
Off
Coverage
50 tasks; complete cohort
Temperature
0.05
Generic reasoning parsing
Disabled
Median task wall time
2.391000 seconds
Full-cohort context caps
1
GGUF filename
Ministral-3-3B-Instruct-2512-Q5_K_M.gguf
GGUF repository
mistralai/Ministral-3-3B-Instruct-2512-GGUF
GGUF revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
GGUF size
2.30425850 GiB
GGUF SHA-256
e23dd88b0e0951d3f5784d6d4092210cda2b006b251f33b226b283a6c9d1f6bb
All measurements and denominators (3)
task count
50 taskscomplete cohort
median task wall seconds
2.391 seconds50-task cohort
context cap count
1 executions50-task cohort
14.70
223.08—
—
Complete

HomHaystack / Reviewed: 10 Oct 2026

12/16 GB · Classic 128K retrieval · Q8

Saved long-context component results. Scores require the benchmark answer format.

Read the source
Highest observed score

100.00 / 100

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1PrismML llama.cpp b10709
Runtime / extension
llama.cpp extension 2.46.0 · selectedPrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7llama.cpp extension 2.47.0 · selectedllama.cpp extension 2.51.0 · selected
Benchmark
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Classic score here is positive-key retrieval percentage, not the 50/50 composite. Reasoning requires ordered retrieval plus a correct result. Formatting can reject readable answers. Captures use repeated fixed prompts; denominators count executions. Historical output cap 4096 and newer uncapped requests are labeled per result. No complete overall is inferred for a capped suite.

11 results

Not aggregated for this profile · — = not available

12/16 GB · Classic 128K retrieval · Q8. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3.8-27B Heretic GSQ-RCO IQ3_XXSOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
500/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
60/100; parser outcome, not necessarily correct abstention
GGUF filename
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
GGUF repository
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
GGUF revision
Not recorded
GGUF size
9.84340042 GiB
GGUF SHA-256
475be499f4bc4f729a811e24ad11419bd187d345af18eff494b89c8ba55a0039
All measurements and denominators (6)
strict correct
500 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
60 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

100.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3.5 9B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 9B Q5_K_M

Qwen3.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
499/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
100/100; parser outcome, not necessarily correct abstention
GGUF filename
Qwen3.5-9B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.12609217 GiB
GGUF SHA-256
dc2a39aef291f91a9116ad214058da0d86eb648743a124bd8c333787c4b9c91c
All measurements and denominators (6)
strict correct
499 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
100 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

99.80
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3.5 4B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 4B Q5_K_M

Qwen3.5 4B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
499/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
60/100; parser outcome, not necessarily correct abstention
GGUF filename
Qwen3.5-4B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-4B-GGUF
GGUF revision
e87f176479d0855a907a41277aca2f8ee7a09523
GGUF size
2.92775837 GiB
GGUF SHA-256
8814232b85594dcd46c50e5b8b29324a7efe9e746edbe8a3d1df3d3fce7aad39
All measurements and denominators (6)
strict correct
499 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
60 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

99.80
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ornith 1.5 9B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ornith 1.5 9B Q5_K_M

Ornith 1.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
False
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
498/500
Request executions
5
Distinct request texts
5
Output limit requested
False (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
40/100; parser outcome, not necessarily correct abstention
GGUF filename
Ornith-1.5-9B-Q5_K_M.gguf
GGUF repository
ornith-ai/Ornith-1.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.18635172 GiB
GGUF SHA-256
e4d9634a3b6546a5c00a8680568fe1125f6c98c704ee51ae52ba07650fb4247d
All measurements and denominators (6)
strict correct
498 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
40 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

99.60
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ministral 3 14B Q4_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 14B Instruct 2512 Q4_K_M

Ministral 3 14B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
498/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
19/100; parser outcome, not necessarily correct abstention
GGUF filename
Ministral-3-14B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-14B-Instruct-2512-GGUF
GGUF revision
74fac473c43357d7fb2671713608183cc72496d0
GGUF size
7.67371899 GiB
GGUF SHA-256
824e0f3373e69b84f2cae46fdcb9bd1ebc6ab3bfc7acc125d818b7b8178cc613
All measurements and denominators (6)
strict correct
498 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
19 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

99.60
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Bonsai 2 27B PTQ1_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
616.92 / 617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096, -1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
1952/2000
Request executions
20
Distinct request texts
5
Output limit requested
4096, -1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 20
Absent queries without parsed number
84/400; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
strict correct
1,952 answerspooled classic128
question executions
2,000 questionsincludes repeated fixed prompts
request executions
20 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
84 answersstrict parser outcome, not proof of semantic abstention
absent queries
400 questionsclassic128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

97.60
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Ministral 3 8B Q4_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 8B Instruct 2512 Q4_K_M

Ministral 3 8B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
488/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
20/100; parser outcome, not necessarily correct abstention
GGUF filename
Ministral-3-8B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-8B-Instruct-2512-GGUF
GGUF revision
0102285ad796bd99af90f58de616092e5630e970
GGUF size
4.84186402 GiB
GGUF SHA-256
33e7a72cf5e6e2cfc2f2847075acc013d68bba023e35310cef86b5cf8fdca761
All measurements and denominators (6)
strict correct
488 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
20 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

97.60
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Bonsai 2 27B PQ2_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
616.92 / 617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096, -1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
1950/2000
Request executions
20
Distinct request texts
10
Output limit requested
4096, -1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 20
Absent queries without parsed number
122/400; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
strict correct
1,950 answerspooled classic128
question executions
2,000 questionsincludes repeated fixed prompts
request executions
20 requestsclassic128
distinct request texts
10 promptsclassic128
absent no parsed number
122 answersstrict parser outcome, not proof of semantic abstention
absent queries
400 questionsclassic128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

97.50
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Qwen3 4B Instruct 2507 Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3 4B Instruct 2507 Q5_K_M

Qwen3 4B Instruct 2507 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
False
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
371/500
Request executions
5
Distinct request texts
5
Output limit requested
False (4096 = capped; -1/False = uncapped)
Finish reasons
contextLengthReached: 1, eosFound: 4
Absent queries without parsed number
60/100; parser outcome, not necessarily correct abstention
GGUF filename
Qwen_Qwen3-4B-Instruct-2507-Q5_K_M.gguf
GGUF repository
bartowski/Qwen_Qwen3-4B-Instruct-2507-GGUF
GGUF revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
GGUF size
2.69106933 GiB
GGUF SHA-256
66713ce35a58a82fe87642d4ec13425bf9b9a46800fff5c49a665ef5701439dc
All measurements and denominators (6)
strict correct
371 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
60 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count. Includes one context-capped request; observed coverage is not an eligible complete stage score.

74.20
——
—
CappedStrict parser counts; readable noncompliant answers do not count. Includes one context-capped request; observed coverage is not an eligible complete stage score.
Ministral 3 3B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 3B Instruct 2512 Q5_K_M

Ministral 3 3B Instruct 2512 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
284/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
40/100; parser outcome, not necessarily correct abstention
GGUF filename
Ministral-3-3B-Instruct-2512-Q5_K_M.gguf
GGUF repository
mistralai/Ministral-3-3B-Instruct-2512-GGUF
GGUF revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
GGUF size
2.30425850 GiB
GGUF SHA-256
e23dd88b0e0951d3f5784d6d4092210cda2b006b251f33b226b283a6c9d1f6bb
All measurements and denominators (6)
strict correct
284 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
40 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count. Two responses were rejected for line prefixes.

56.80
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Two responses were rejected for line prefixes.
Gemma 4 12B IT QAT Q4_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Gemma 4 12B IT QAT Q4_0

Gemma 4 12B IT QAT Q4_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
202/500
Request executions
5
Distinct request texts
5
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 5
Absent queries without parsed number
40/100; parser outcome, not necessarily correct abstention
GGUF filename
gemma-4-12b-it-qat-q4_0.gguf
GGUF repository
google/gemma-4-12B-it-qat-q4_0-gguf
GGUF revision
Not recorded
GGUF size
6.49679387 GiB
GGUF SHA-256
93567e57a8fe10b23569b9d9ec38cd005deedf71e29477c421a4b83f418a538b
All measurements and denominators (6)
strict correct
202 answerspooled classic128
question executions
500 questionsincludes repeated fixed prompts
request executions
5 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
40 answersstrict parser outcome, not proof of semantic abstention
absent queries
100 questionsclassic128

Strict parser counts; readable noncompliant answers do not count.

40.40
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.

HomHaystack / Reviewed: 10 Oct 2026

12/16 GB · Classic 240K retrieval · Q8

Saved long-context component results. Scores require the benchmark answer format.

Read the source
Highest observed score

99.00 / 100

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1PrismML llama.cpp b10709
Runtime / extension
llama.cpp extension 2.46.0 · selectedPrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7llama.cpp extension 2.47.0 · selectedllama.cpp extension 2.51.0 · selected
Benchmark
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Classic score here is positive-key retrieval percentage, not the 50/50 composite. Reasoning requires ordered retrieval plus a correct result. Formatting can reject readable answers. Captures use repeated fixed prompts; denominators count executions. Historical output cap 4096 and newer uncapped requests are labeled per result. No complete overall is inferred for a capped suite.

11 results

Not aggregated for this profile · — = not available

12/16 GB · Classic 240K retrieval · Q8. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3.8-27B Heretic GSQ-RCO IQ3_XXSOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
99/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
GGUF repository
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
GGUF revision
Not recorded
GGUF size
9.84340042 GiB
GGUF SHA-256
475be499f4bc4f729a811e24ad11419bd187d345af18eff494b89c8ba55a0039
All measurements and denominators (6)
strict correct
99 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

99.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3.5 4B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 4B Q5_K_M

Qwen3.5 4B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
99/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
Qwen3.5-4B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-4B-GGUF
GGUF revision
e87f176479d0855a907a41277aca2f8ee7a09523
GGUF size
2.92775837 GiB
GGUF SHA-256
8814232b85594dcd46c50e5b8b29324a7efe9e746edbe8a3d1df3d3fce7aad39
All measurements and denominators (6)
strict correct
99 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

99.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3.5 9B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 9B Q5_K_M

Qwen3.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
98/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
Qwen3.5-9B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.12609217 GiB
GGUF SHA-256
dc2a39aef291f91a9116ad214058da0d86eb648743a124bd8c333787c4b9c91c
All measurements and denominators (6)
strict correct
98 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

98.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ornith 1.5 9B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ornith 1.5 9B Q5_K_M

Ornith 1.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
False
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
98/100
Request executions
1
Distinct request texts
1
Output limit requested
False (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
Ornith-1.5-9B-Q5_K_M.gguf
GGUF repository
ornith-ai/Ornith-1.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.18635172 GiB
GGUF SHA-256
e4d9634a3b6546a5c00a8680568fe1125f6c98c704ee51ae52ba07650fb4247d
All measurements and denominators (6)
strict correct
98 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

98.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ministral 3 8B Q4_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 8B Instruct 2512 Q4_K_M

Ministral 3 8B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
82/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
Ministral-3-8B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-8B-Instruct-2512-GGUF
GGUF revision
0102285ad796bd99af90f58de616092e5630e970
GGUF size
4.84186402 GiB
GGUF SHA-256
33e7a72cf5e6e2cfc2f2847075acc013d68bba023e35310cef86b5cf8fdca761
All measurements and denominators (6)
strict correct
82 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

82.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ministral 3 3B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 3B Instruct 2512 Q5_K_M

Ministral 3 3B Instruct 2512 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
66/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
Ministral-3-3B-Instruct-2512-Q5_K_M.gguf
GGUF repository
mistralai/Ministral-3-3B-Instruct-2512-GGUF
GGUF revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
GGUF size
2.30425850 GiB
GGUF SHA-256
e23dd88b0e0951d3f5784d6d4092210cda2b006b251f33b226b283a6c9d1f6bb
All measurements and denominators (6)
strict correct
66 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

66.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Bonsai 2 27B PTQ1_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
616.92 / 617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096, -1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
204/400
Request executions
4
Distinct request texts
1
Output limit requested
4096, -1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 4
Absent queries without parsed number
0/80; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
strict correct
204 answerspooled classic240
question executions
400 questionsincludes repeated fixed prompts
request executions
4 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
80 questionsclassic240

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

51.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Bonsai 2 27B PQ2_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
616.92 / 617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096, -1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
204/400
Request executions
4
Distinct request texts
2
Output limit requested
4096, -1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 4
Absent queries without parsed number
20/80; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
strict correct
204 answerspooled classic240
question executions
400 questionsincludes repeated fixed prompts
request executions
4 requestsclassic240
distinct request texts
2 promptsclassic240
absent no parsed number
20 answersstrict parser outcome, not proof of semantic abstention
absent queries
80 questionsclassic240

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

51.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Gemma 4 12B IT QAT Q4_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Gemma 4 12B IT QAT Q4_0

Gemma 4 12B IT QAT Q4_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
12/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
gemma-4-12b-it-qat-q4_0.gguf
GGUF repository
google/gemma-4-12B-it-qat-q4_0-gguf
GGUF revision
Not recorded
GGUF size
6.49679387 GiB
GGUF SHA-256
93567e57a8fe10b23569b9d9ec38cd005deedf71e29477c421a4b83f418a538b
All measurements and denominators (6)
strict correct
12 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

12.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3 4B Instruct 2507 Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3 4B Instruct 2507 Q5_K_M

Qwen3 4B Instruct 2507 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
False
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
7/100
Request executions
1
Distinct request texts
1
Output limit requested
False (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
0/20; parser outcome, not necessarily correct abstention
GGUF filename
Qwen_Qwen3-4B-Instruct-2507-Q5_K_M.gguf
GGUF repository
bartowski/Qwen_Qwen3-4B-Instruct-2507-GGUF
GGUF revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
GGUF size
2.69106933 GiB
GGUF SHA-256
66713ce35a58a82fe87642d4ec13425bf9b9a46800fff5c49a665ef5701439dc
All measurements and denominators (6)
strict correct
7 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count.

7.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ministral 3 14B Q4_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 14B Instruct 2512 Q4_K_M

Ministral 3 14B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
0/100
Request executions
1
Distinct request texts
1
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 1
Absent queries without parsed number
20/20; parser outcome, not necessarily correct abstention
GGUF filename
Ministral-3-14B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-14B-Instruct-2512-GGUF
GGUF revision
74fac473c43357d7fb2671713608183cc72496d0
GGUF size
7.67371899 GiB
GGUF SHA-256
824e0f3373e69b84f2cae46fdcb9bd1ebc6ab3bfc7acc125d818b7b8178cc613
All measurements and denominators (6)
strict correct
0 answerspooled classic240
question executions
100 questionsincludes repeated fixed prompts
request executions
1 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
20 answersstrict parser outcome, not proof of semantic abstention
absent queries
20 questionsclassic240

Strict parser counts; readable noncompliant answers do not count. Entire Markdown response rejected; official stage score 0 despite readable values.

0.00
——
—
Format failureStrict parser counts; readable noncompliant answers do not count. Entire Markdown response rejected; official stage score 0 despite readable values.

HomHaystack / Reviewed: 10 Oct 2026

12/16 GB · Reasoning 128K · Q8

Saved long-context component results. Scores require the benchmark answer format.

Read the source
Highest observed score

88.33 / 100

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1PrismML llama.cpp b10709
Runtime / extension
llama.cpp extension 2.46.0 · selectedPrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7llama.cpp extension 2.47.0 · selectedllama.cpp extension 2.51.0 · selected
Benchmark
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Classic score here is positive-key retrieval percentage, not the 50/50 composite. Reasoning requires ordered retrieval plus a correct result. Formatting can reject readable answers. Captures use repeated fixed prompts; denominators count executions. Historical output cap 4096 and newer uncapped requests are labeled per result. No complete overall is inferred for a capped suite.

11 results

Not aggregated for this profile · — = not available

12/16 GB · Reasoning 128K · Q8. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3.8-27B Heretic GSQ-RCO IQ3_XXSOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
53/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
57/60
Wrong result after correct ordered retrieval
4
GGUF filename
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
GGUF repository
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
GGUF revision
Not recorded
GGUF size
9.84340042 GiB
GGUF SHA-256
475be499f4bc4f729a811e24ad11419bd187d345af18eff494b89c8ba55a0039
All measurements and denominators (6)
strict correct
53 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
57 answersreasoning128
wrong result given ordered retrieval
4 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

88.33
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ministral 3 14B Q4_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 14B Instruct 2512 Q4_K_M

Ministral 3 14B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
31/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
53/60
Wrong result after correct ordered retrieval
22
GGUF filename
Ministral-3-14B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-14B-Instruct-2512-GGUF
GGUF revision
74fac473c43357d7fb2671713608183cc72496d0
GGUF size
7.67371899 GiB
GGUF SHA-256
824e0f3373e69b84f2cae46fdcb9bd1ebc6ab3bfc7acc125d818b7b8178cc613
All measurements and denominators (6)
strict correct
31 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
53 answersreasoning128
wrong result given ordered retrieval
22 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

51.67
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3.5 9B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 9B Q5_K_M

Qwen3.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
15/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
42/60
Wrong result after correct ordered retrieval
27
GGUF filename
Qwen3.5-9B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.12609217 GiB
GGUF SHA-256
dc2a39aef291f91a9116ad214058da0d86eb648743a124bd8c333787c4b9c91c
All measurements and denominators (6)
strict correct
15 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
42 answersreasoning128
wrong result given ordered retrieval
27 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

25.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ornith 1.5 9B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ornith 1.5 9B Q5_K_M

Ornith 1.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
False
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
8/60
Request executions
3
Distinct request texts
3
Output limit requested
False (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
28/60
Wrong result after correct ordered retrieval
20
GGUF filename
Ornith-1.5-9B-Q5_K_M.gguf
GGUF repository
ornith-ai/Ornith-1.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.18635172 GiB
GGUF SHA-256
e4d9634a3b6546a5c00a8680568fe1125f6c98c704ee51ae52ba07650fb4247d
All measurements and denominators (6)
strict correct
8 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
28 answersreasoning128
wrong result given ordered retrieval
20 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

13.33
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3.5 4B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 4B Q5_K_M

Qwen3.5 4B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
7/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
11/60
Wrong result after correct ordered retrieval
4
GGUF filename
Qwen3.5-4B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-4B-GGUF
GGUF revision
e87f176479d0855a907a41277aca2f8ee7a09523
GGUF size
2.92775837 GiB
GGUF SHA-256
8814232b85594dcd46c50e5b8b29324a7efe9e746edbe8a3d1df3d3fce7aad39
All measurements and denominators (6)
strict correct
7 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
11 answersreasoning128
wrong result given ordered retrieval
4 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

11.67
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Bonsai 2 27B PTQ1_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
616.92 / 617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096, -1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
24/240
Request executions
12
Distinct request texts
3
Output limit requested
4096, -1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 12
Correct ordered retrieval
28/240
Wrong result after correct ordered retrieval
4
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
strict correct
24 answerspooled reasoning128
question executions
240 questionsincludes repeated fixed prompts
request executions
12 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
28 answersreasoning128
wrong result given ordered retrieval
4 answersreasoning128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

10.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Bonsai 2 27B PQ2_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
616.92 / 617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096, -1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
24/240
Request executions
12
Distinct request texts
3
Output limit requested
4096, -1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 12
Correct ordered retrieval
28/240
Wrong result after correct ordered retrieval
4
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
strict correct
24 answerspooled reasoning128
question executions
240 questionsincludes repeated fixed prompts
request executions
12 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
28 answersreasoning128
wrong result given ordered retrieval
4 answersreasoning128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

10.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Ministral 3 8B Q4_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 8B Instruct 2512 Q4_K_M

Ministral 3 8B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
3/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
20/60
Wrong result after correct ordered retrieval
17
GGUF filename
Ministral-3-8B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-8B-Instruct-2512-GGUF
GGUF revision
0102285ad796bd99af90f58de616092e5630e970
GGUF size
4.84186402 GiB
GGUF SHA-256
33e7a72cf5e6e2cfc2f2847075acc013d68bba023e35310cef86b5cf8fdca761
All measurements and denominators (6)
strict correct
3 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
20 answersreasoning128
wrong result given ordered retrieval
17 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

5.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Qwen3 4B Instruct 2507 Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Qwen3 4B Instruct 2507 Q5_K_M

Qwen3 4B Instruct 2507 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
False
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
1/60
Request executions
3
Distinct request texts
3
Output limit requested
False (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
1/60
Wrong result after correct ordered retrieval
0
GGUF filename
Qwen_Qwen3-4B-Instruct-2507-Q5_K_M.gguf
GGUF repository
bartowski/Qwen_Qwen3-4B-Instruct-2507-GGUF
GGUF revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
GGUF size
2.69106933 GiB
GGUF SHA-256
66713ce35a58a82fe87642d4ec13425bf9b9a46800fff5c49a665ef5701439dc
All measurements and denominators (6)
strict correct
1 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
1 answersreasoning128
wrong result given ordered retrieval
0 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

1.67
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Ministral 3 3B Q5_K_MOff · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Ministral 3 3B Instruct 2512 Q5_K_M

Ministral 3 3B Instruct 2512 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
1/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
1/60
Wrong result after correct ordered retrieval
0
GGUF filename
Ministral-3-3B-Instruct-2512-Q5_K_M.gguf
GGUF repository
mistralai/Ministral-3-3B-Instruct-2512-GGUF
GGUF revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
GGUF size
2.30425850 GiB
GGUF SHA-256
e23dd88b0e0951d3f5784d6d4092210cda2b006b251f33b226b283a6c9d1f6bb
All measurements and denominators (6)
strict correct
1 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
1 answersreasoning128
wrong result given ordered retrieval
0 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

1.67
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.
Gemma 4 12B IT QAT Q4_0Off · Q8_0 / Q8_0Campaign captured:
Capture, runtime & configuration for Gemma 4 12B IT QAT Q4_0

Gemma 4 12B IT QAT Q4_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q8_0 / q8_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
4096
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
0/60
Request executions
3
Distinct request texts
3
Output limit requested
4096 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Correct ordered retrieval
0/60
Wrong result after correct ordered retrieval
0
GGUF filename
gemma-4-12b-it-qat-q4_0.gguf
GGUF repository
google/gemma-4-12B-it-qat-q4_0-gguf
GGUF revision
Not recorded
GGUF size
6.49679387 GiB
GGUF SHA-256
93567e57a8fe10b23569b9d9ec38cd005deedf71e29477c421a4b83f418a538b
All measurements and denominators (6)
strict correct
0 answerspooled reasoning128
question executions
60 questionsincludes repeated fixed prompts
request executions
3 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
0 answersreasoning128
wrong result given ordered retrieval
0 answersreasoning128

Strict parser counts; readable noncompliant answers do not count.

0.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count.

HomHaystack / Reviewed: 10 Oct 2026

12/16 GB · Classic 128K retrieval · Q4

Saved long-context component results. Scores require the benchmark answer format.

Read the source
Highest observed score

96.00 / 100

Bonsai 2 27B PTQ1_0
Test captured
Timestamp precision in result details
Application / version
PrismML llama.cpp b10709
Runtime / extension
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
Benchmark
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
Thinking
Off
MTP
Off
K / V cache
Q4_0 / Q4_0

Classic score here is positive-key retrieval percentage, not the 50/50 composite. Reasoning requires ordered retrieval plus a correct result. Formatting can reject readable answers. Captures use repeated fixed prompts; denominators count executions. Historical output cap 4096 and newer uncapped requests are labeled per result. No complete overall is inferred for a capped suite.

2 results

Not aggregated for this profile · — = not available

12/16 GB · Classic 128K retrieval · Q4. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Bonsai 2 27B PTQ1_0Off · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q4_0 / q4_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
-1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
1440/1500
Request executions
15
Distinct request texts
5
Output limit requested
-1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 15
Absent queries without parsed number
120/300; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
strict correct
1,440 answerspooled classic128
question executions
1,500 questionsincludes repeated fixed prompts
request executions
15 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
120 answersstrict parser outcome, not proof of semantic abstention
absent queries
300 questionsclassic128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

96.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Bonsai 2 27B PQ2_0Off · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q4_0 / q4_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
-1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
1440/1500
Request executions
15
Distinct request texts
5
Output limit requested
-1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 15
Absent queries without parsed number
120/300; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
strict correct
1,440 answerspooled classic128
question executions
1,500 questionsincludes repeated fixed prompts
request executions
15 requestsclassic128
distinct request texts
5 promptsclassic128
absent no parsed number
120 answersstrict parser outcome, not proof of semantic abstention
absent queries
300 questionsclassic128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

96.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

HomHaystack / Reviewed: 10 Oct 2026

12/16 GB · Classic 240K retrieval · Q4

Saved long-context component results. Scores require the benchmark answer format.

Read the source
Highest observed score

54.00 / 100

Bonsai 2 27B PQ2_0
Test captured
Timestamp precision in result details
Application / version
PrismML llama.cpp b10709
Runtime / extension
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
Benchmark
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
Thinking
Off
MTP
Off
K / V cache
Q4_0 / Q4_0

Classic score here is positive-key retrieval percentage, not the 50/50 composite. Reasoning requires ordered retrieval plus a correct result. Formatting can reject readable answers. Captures use repeated fixed prompts; denominators count executions. Historical output cap 4096 and newer uncapped requests are labeled per result. No complete overall is inferred for a capped suite.

2 results

Not aggregated for this profile · — = not available

12/16 GB · Classic 240K retrieval · Q4. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Bonsai 2 27B PQ2_0Off · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q4_0 / q4_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
-1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
162/300
Request executions
3
Distinct request texts
1
Output limit requested
-1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Absent queries without parsed number
60/60; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
strict correct
162 answerspooled classic240
question executions
300 questionsincludes repeated fixed prompts
request executions
3 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
60 answersstrict parser outcome, not proof of semantic abstention
absent queries
60 questionsclassic240

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

54.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Bonsai 2 27B PTQ1_0Off · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q4_0 / q4_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
-1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict positive retrieval component
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct real keys accepted by strict parser / real queries
Correct / total
156/300
Request executions
3
Distinct request texts
1
Output limit requested
-1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 3
Absent queries without parsed number
0/60; parser outcome, not necessarily correct abstention
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
strict correct
156 answerspooled classic240
question executions
300 questionsincludes repeated fixed prompts
request executions
3 requestsclassic240
distinct request texts
1 promptsclassic240
absent no parsed number
0 answersstrict parser outcome, not proof of semantic abstention
absent queries
60 questionsclassic240

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

52.00
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

HomHaystack / Reviewed: 10 Oct 2026

12/16 GB · Reasoning 128K · Q4

Saved long-context component results. Scores require the benchmark answer format.

Read the source
Highest observed score

3.33 / 100

Bonsai 2 27B PTQ1_0
Test captured
Timestamp precision in result details
Application / version
PrismML llama.cpp b10709
Runtime / extension
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
Benchmark
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
Thinking
Off
MTP
Off
K / V cache
Q4_0 / Q4_0

Classic score here is positive-key retrieval percentage, not the 50/50 composite. Reasoning requires ordered retrieval plus a correct result. Formatting can reject readable answers. Captures use repeated fixed prompts; denominators count executions. Historical output cap 4096 and newer uncapped requests are labeled per result. No complete overall is inferred for a capped suite.

2 results

Not aggregated for this profile · — = not available

12/16 GB · Reasoning 128K · Q4. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Bonsai 2 27B PTQ1_0Off · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q4_0 / q4_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
-1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
6/180
Request executions
9
Distinct request texts
3
Output limit requested
-1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 9
Correct ordered retrieval
12/180
Wrong result after correct ordered retrieval
6
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
strict correct
6 answerspooled reasoning128
question executions
180 questionsincludes repeated fixed prompts
request executions
9 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
12 answersreasoning128
wrong result given ordered retrieval
6 answersreasoning128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

3.33
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.
Bonsai 2 27B PQ2_0Off · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
262,144
K / V cache
q4_0 / q4_0
Thinking
Off
MTP
Off
Sampler
Temperature 0
Output limits
-1
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Legacy HS-1.2 · strict end-to-end reasoning
Context capacity
262,144 tokens
MTP
Off
Score definition
Correct ordered four-value retrieval and final result / questions
Correct / total
3/180
Request executions
9
Distinct request texts
3
Output limit requested
-1 (4096 = capped; -1/False = uncapped)
Finish reasons
eosFound: 9
Correct ordered retrieval
6/180
Wrong result after correct ordered retrieval
3
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
strict correct
3 answerspooled reasoning128
question executions
180 questionsincludes repeated fixed prompts
request executions
9 requestsreasoning128
distinct request texts
3 promptsreasoning128
ordered retrieval correct
6 answersreasoning128
wrong result given ordered retrieval
3 answersreasoning128

Strict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

1.67
——
—
CompleteStrict parser counts; readable noncompliant answers do not count. Repeated fixed prompts and identical saved outputs do not expand distinct-question coverage.

Performance / Reviewed: 10 Oct 2026

12/16 GB · Measured process VRAM · 64K

Highest sampled dedicated model-process GPU memory across available 64K workloads.

Read the source
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1PrismML llama.cpp b10709
Runtime / extension
llama.cpp extension 2.47.0 · selectedPrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7llama.cpp · version not recordedllama.cpp extension 2.51.0 · selected
Benchmark
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
Thinking
Available On/Off workloads; not one paired score
MTP
Off
K / V cache
Q4_0 / Q4_0

RTX 5090 only. Approximately two-second samples may miss transients. Excludes other processes and shared memory. The 2 GiB reserve is a planning choice. 128K values are extrapolations from context probes, not measurements. Configured full offload does not prove actual layer residency.

11 results

Not aggregated for this profile · — = not available

12/16 GB · Measured process VRAM · 64K. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Qwen3.8-27B Heretic GSQ-RCO IQ3_XXSAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
10.63724518 GiB
64K context probe
11.34040833 GiB
128K estimate
12.74673462 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
GGUF repository
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
GGUF revision
Not recorded
GGUF size
9.84340042 GiB
GGUF SHA-256
475be499f4bc4f729a811e24ad11419bd187d345af18eff494b89c8ba55a0039
All measurements and denominators (5)
process peak 64k
11.344315 GiBhighest available 64K sampled process allocation
context probe 32k
10.637245 GiBmeasured 32768 context probe
context probe 64k
11.340408 GiBmeasured 65536 context probe
context estimate 128k
12.746735 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
11.34 GiBDedicated process sampled peak
Measured · projected fit
Bonsai 2 27B PTQ1_0Available On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PTQ1_0

Ternary Bonsai 2 27B PTQ1_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
6.77370071 GiB
64K context probe
7.47686005 GiB
128K estimate
8.88317871 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q4_0 / q4_0
11.69582367 GiB sampled process peak
262144 allocation, q8_0 / q8_0
15.69585419 GiB sampled process peak
GGUF filename
Ternary-Bonsai-2-27B-PTQ1_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
5.53824839 GiB
GGUF SHA-256
53107f530aa52eb00912263ab1ee29bd199261c87cd7b4ad4ca1318c1fe33ee3
All measurements and denominators (6)
process peak 64k
7.47686 GiBhighest available 64K sampled process allocation
context probe 32k
6.773701 GiBmeasured 32768 context probe
context probe 64k
7.47686 GiBmeasured 65536 context probe
context estimate 128k
8.883179 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q4 0
11.695824 GiBmeasured Legacy workload; 262144-token allocation; q4_0 / q4_0
process peak 262144 q8 0
15.695854 GiBmeasured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
7.48 GiBDedicated process sampled peak
Measured · projected fit
Bonsai 2 27B PQ2_0Available On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ternary Bonsai 2 27B PQ2_0

Ternary Bonsai 2 27B PQ2_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
7.89100647 GiB
64K context probe
8.59416580 GiB
128K estimate
10.00048447 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q4_0 / q4_0
12.81313705 GiB sampled process peak
262144 allocation, q8_0 / q8_0
16.81316757 GiB sampled process peak
GGUF filename
Ternary-Bonsai-2-27B-PQ2_0.gguf
GGUF repository
prism-ml/Ternary-Bonsai-2-27B-gguf
GGUF revision
6ed5e12bf84b7a63069882c91dd9e9218647d17b
GGUF size
6.71126780 GiB
GGUF SHA-256
3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1
All measurements and denominators (6)
process peak 64k
8.594166 GiBhighest available 64K sampled process allocation
context probe 32k
7.891006 GiBmeasured 32768 context probe
context probe 64k
8.594166 GiBmeasured 65536 context probe
context estimate 128k
10.000484 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q4 0
12.813137 GiBmeasured Legacy workload; 262144-token allocation; q4_0 / q4_0
process peak 262144 q8 0
16.813168 GiBmeasured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
8.59 GiBDedicated process sampled peak
Measured · projected fit
Gemma 4 12B IT QAT Q4_0Available On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Gemma 4 12B IT QAT Q4_0

Gemma 4 12B IT QAT Q4_0

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
7.68290329 GiB
64K context probe
7.90168381 GiB
128K estimate
8.33924484 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
gemma-4-12b-it-qat-q4_0.gguf
GGUF repository
google/gemma-4-12B-it-qat-q4_0-gguf
GGUF revision
Not recorded
GGUF size
6.49679387 GiB
GGUF SHA-256
93567e57a8fe10b23569b9d9ec38cd005deedf71e29477c421a4b83f418a538b
All measurements and denominators (5)
process peak 64k
7.90559 GiBhighest available 64K sampled process allocation
context probe 32k
7.682903 GiBmeasured 32768 context probe
context probe 64k
7.901684 GiBmeasured 65536 context probe
context estimate 128k
8.339245 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
7.91 GiBDedicated process sampled peak
Measured · projected fit
Qwen3.5 9B Q5_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 9B Q5_K_M

Qwen3.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
8.41900635 GiB
64K context probe
8.84091568 GiB
128K estimate
9.68473434 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
Qwen3.5-9B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.12609217 GiB
GGUF SHA-256
dc2a39aef291f91a9116ad214058da0d86eb648743a124bd8c333787c4b9c91c
All measurements and denominators (5)
process peak 64k
8.842869 GiBhighest available 64K sampled process allocation
context probe 32k
8.419006 GiBmeasured 32768 context probe
context probe 64k
8.840916 GiBmeasured 65536 context probe
context estimate 128k
9.684734 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
8.84 GiBDedicated process sampled peak
Measured · projected fit
Qwen3.5 4B Q5_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3.5 4B Q5_K_M

Qwen3.5 4B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
3.92450333 GiB
64K context probe
4.34641266 GiB
128K estimate
5.19023132 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
Qwen3.5-4B-Q5_K_M.gguf
GGUF repository
unsloth/Qwen3.5-4B-GGUF
GGUF revision
e87f176479d0855a907a41277aca2f8ee7a09523
GGUF size
2.92775837 GiB
GGUF SHA-256
8814232b85594dcd46c50e5b8b29324a7efe9e746edbe8a3d1df3d3fce7aad39
All measurements and denominators (5)
process peak 64k
4.348366 GiBhighest available 64K sampled process allocation
context probe 32k
3.924503 GiBmeasured 32768 context probe
context probe 64k
4.346413 GiBmeasured 65536 context probe
context estimate 128k
5.190231 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
4.35 GiBDedicated process sampled peak
Measured · projected fit
Ornith 1.5 9B Q5_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ornith 1.5 9B Q5_K_M

Ornith 1.5 9B Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
7.47759628 GiB
64K context probe
7.89950180 GiB
128K estimate
8.74331284 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
12.43096924 GiB sampled process peak
GGUF filename
Ornith-1.5-9B-Q5_K_M.gguf
GGUF repository
ornith-ai/Ornith-1.5-9B-GGUF
GGUF revision
Not recorded
GGUF size
6.18635172 GiB
GGUF SHA-256
e4d9634a3b6546a5c00a8680568fe1125f6c98c704ee51ae52ba07650fb4247d
All measurements and denominators (5)
process peak 64k
7.899502 GiBhighest available 64K sampled process allocation
context probe 32k
7.477596 GiBmeasured 32768 context probe
context probe 64k
7.899502 GiBmeasured 65536 context probe
context estimate 128k
8.743313 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
12.430969 GiBmeasured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
7.90 GiBDedicated process sampled peak
Measured · projected fit
Qwen3 4B Instruct 2507 Q5_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Qwen3 4B Instruct 2507 Q5_K_M

Qwen3 4B Instruct 2507 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
4.60577774 GiB
64K context probe
6.01206970 GiB
128K estimate
8.82465363 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
23.44989014 GiB sampled process peak
GGUF filename
Qwen_Qwen3-4B-Instruct-2507-Q5_K_M.gguf
GGUF repository
bartowski/Qwen_Qwen3-4B-Instruct-2507-GGUF
GGUF revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
GGUF size
2.69106933 GiB
GGUF SHA-256
66713ce35a58a82fe87642d4ec13425bf9b9a46800fff5c49a665ef5701439dc
All measurements and denominators (5)
process peak 64k
6.01207 GiBhighest available 64K sampled process allocation
context probe 32k
4.605778 GiBmeasured 32768 context probe
context probe 64k
6.01207 GiBmeasured 65536 context probe
context estimate 128k
8.824654 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
23.44989 GiBmeasured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
6.01 GiBDedicated process sampled peak
Measured · projected fit
Ministral 3 14B Q4_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 14B Instruct 2512 Q4_K_M

Ministral 3 14B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
9.38327408 GiB
64K context probe
10.93019104 GiB
128K estimate
14.02402496 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
Ministral-3-14B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-14B-Instruct-2512-GGUF
GGUF revision
74fac473c43357d7fb2671713608183cc72496d0
GGUF size
7.67371899 GiB
GGUF SHA-256
824e0f3373e69b84f2cae46fdcb9bd1ebc6ab3bfc7acc125d818b7b8178cc613
All measurements and denominators (5)
process peak 64k
10.934097 GiBhighest available 64K sampled process allocation
context probe 32k
9.383274 GiBmeasured 32768 context probe
context probe 64k
10.930191 GiBmeasured 65536 context probe
context estimate 128k
14.024025 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
10.93 GiBDedicated process sampled peak
Measured · projected fit
Ministral 3 8B Q4_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 8B Instruct 2512 Q4_K_M

Ministral 3 8B Instruct 2512 Q4_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
6.40850067 GiB
64K context probe
7.74448013 GiB
128K estimate
10.41643906 GiB; not measured
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
Ministral-3-8B-Instruct-2512-Q4_K_M.gguf
GGUF repository
mistralai/Ministral-3-8B-Instruct-2512-GGUF
GGUF revision
0102285ad796bd99af90f58de616092e5630e970
GGUF size
4.84186402 GiB
GGUF SHA-256
33e7a72cf5e6e2cfc2f2847075acc013d68bba023e35310cef86b5cf8fdca761
All measurements and denominators (5)
process peak 64k
7.748386 GiBhighest available 64K sampled process allocation
context probe 32k
6.408501 GiBmeasured 32768 context probe
context probe 64k
7.74448 GiBmeasured 65536 context probe
context estimate 128k
10.416439 GiBestimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
7.75 GiBDedicated process sampled peak
Measured · projected fit
Ministral 3 3B Q5_K_MAvailable On/Off workloads; not one paired score · Q4_0 / Q4_0Campaign captured:
Capture, runtime & configuration for Ministral 3 3B Instruct 2512 Q5_K_M

Ministral 3 3B Instruct 2512 Q5_K_M

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Benchmark version
Recorded Windows GPU Process Memory
Context capacity
65,536 tokens
MTP
Off
32K context probe
Not available
64K context probe
Not available
128K estimate
Not available
Placement
Full offload requested; actual layer/buffer allocation not recorded
262144 allocation, q8_0 / q8_0
Process peak not available
GGUF filename
Ministral-3-3B-Instruct-2512-Q5_K_M.gguf
GGUF repository
mistralai/Ministral-3-3B-Instruct-2512-GGUF
GGUF revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
GGUF size
2.30425850 GiB
GGUF SHA-256
e23dd88b0e0951d3f5784d6d4092210cda2b006b251f33b226b283a6c9d1f6bb
All measurements and denominators (5)
process peak 64k
4.920288 GiBhighest available 64K sampled process allocation
context probe 32k
Unavailable measured 32768 context probe
context probe 64k
Unavailable measured 65536 context probe
context estimate 128k
Unavailable estimate: P64 + 2*(P64-P32)
process peak 262144 q8 0
Unavailable measured Legacy workload; 262144-token allocation; q8_0 / q8_0
—
——
4.92 GiBDedicated process sampled peak
Measured · projected fit

QuantBench / Reviewed: 9 Oct 2026

NVFP4 vs GGUF · QuantBench

Nine current configurations on one RTX 5090, with accuracy and decode generation speed kept separate from whole-request throughput.

Read the source
Highest observed score

60.81 / 100

Base GGUF UD-Q6_K
Test captured
Timestamp precision in result details
Application / version
LM Studio · version not recordedvLLM 0.29.0
Runtime / extension
llama.cpp · version not recordedvLLM 0.29.0
Benchmark
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
Thinking
Off · verified
MTP
Native MTP1 · verified
K / V cache
NVFP4: FP8 E4M3 · GGUF: Q8_0

Same 50-question suite. ThinkingCap GGUF completed 48/50; its overall is unavailable and its speed is partial. These compare complete configurations, including runtime, cache and template differences. Memory is the highest sampled whole-device reading across selected completions; failed attempts are excluded.

9 results

Arithmetic mean Decode TPS; excludes TTFT. Partial rows are labeled. Effective request TPS and TTFT appear in result details. · — = not available

NVFP4 vs GGUF · QuantBench. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Base GGUF UD-Q6_KThinking Off · Q8_0 KVCampaign captured:
Capture, runtime & configuration for Base GGUF UD-Q6_K · Qwen3.8-27B

Base GGUF UD-Q6_K · Qwen3.8-27B

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
unsloth/Qwen3.8-27B-GGUF
Checkpoint revision
4ca720788d1e01f1bff70c033e0d0028fd02e502
Mean Decode TPS
95.48 tok/s · n=50
Decode distribution
Median 95.88; min 88.36; max 98.52; SD 2.35 tok/s
Mean effective request TPS
84.32 tok/s · includes TTFT
Mean time to first token
0.52 seconds
TTFT boundary
Runtime-native first-token timing
Mean request duration
17.28 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
71–17894 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
96.73% · acceptance alone does not establish a speedup
60.81
95.48—
23.44 GiBWhole-device sampled peak
Complete
Base NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for Base NVFP4 · Qwen3.8-27B

Base NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 50/50 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
unsloth/Qwen3.8-27B-NVFP4
Checkpoint revision
f0b7c9e722f5565102fff8481c99e4d86ae099c7
Mean Decode TPS
93.64 tok/s · n=50
Decode distribution
Median 93.34; min 87.73; max 100.12; SD 4.28 tok/s
Mean effective request TPS
85.77 tok/s · includes TTFT
Mean time to first token
0.34 seconds
TTFT boundary
Client first delivered token
Mean request duration
17.98 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
73–18961 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
96.83% · acceptance alone does not establish a speedup
59.82
93.64—
28.41 GiBWhole-device sampled peak
Complete
ThinkingCap NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for ThinkingCap NVFP4 · Qwen3.8-27B

ThinkingCap NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 50/50 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
bottlecapai/ThinkingCap-Qwen3.8-27B-NVFP4
Checkpoint revision
fd15e50bffbcb3fd304f925b20ea8dee7de3bf6d
Mean Decode TPS
109.12 tok/s · n=50
Decode distribution
Median 109.10; min 104.49; max 112.06; SD 1.68 tok/s
Mean effective request TPS
96.16 tok/s · includes TTFT
Mean time to first token
0.50 seconds
TTFT boundary
Client first delivered token
Mean request duration
21.43 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
73–24136 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
97.04% · acceptance alone does not establish a speedup
59.76
109.12—
25.78 GiBWhole-device sampled peak
Complete
OrcaRouter GGUF Q6_KThinking Off · Q8_0 KVCaptured:
Capture, runtime & configuration for OrcaRouter GGUF Q6_K · Qwen3.8-27B

OrcaRouter GGUF Q6_K · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 50/50 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
orcarouter/Qwen3.8-27B-Uncensored-GGUF
Checkpoint revision
a855f377abf5cbda99a278414466743f427e97c8
Mean Decode TPS
93.49 tok/s · n=50
Decode distribution
Median 94.34; min 84.32; max 98.58; SD 3.97 tok/s
Mean effective request TPS
80.86 tok/s · includes TTFT
Mean time to first token
0.69 seconds
TTFT boundary
SDK observer relative to request dispatch
Mean request duration
23.25 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
73–29884 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
96.60% · acceptance alone does not establish a speedup
59.23
93.49—
23.70 GiBWhole-device sampled peak
Complete
Swift 1.5 GGUF Q6_K_SThinking Off · Q8_0 KVCampaign captured:
Capture, runtime & configuration for Swift 1.5 GGUF Q6_K_S · Qwen3.8-27B

Swift 1.5 GGUF Q6_K_S · Qwen3.8-27B

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
bartowski/ukisai_Swift-1.5-Qwen3.8-27b-GGUF
Checkpoint revision
ce202c7d9a5d71969c60bf62a4f1c3e41747520c
Mean Decode TPS
100.56 tok/s · n=50
Decode distribution
Median 101.09; min 94.80; max 102.82; SD 1.98 tok/s
Mean effective request TPS
84.53 tok/s · includes TTFT
Mean time to first token
0.72 seconds
TTFT boundary
Runtime-native first-token timing
Mean request duration
10.45 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
71–8323 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
97.45% · acceptance alone does not establish a speedup
59.06
100.56—
22.95 GiBWhole-device sampled peak
Complete
Swift 1.5 NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for Swift 1.5 NVFP4 · Qwen3.8-27B

Swift 1.5 NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 50/50 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
ukisai/Swift-1.5-Qwen3.8-27b-NVFP4
Checkpoint revision
25482027debd5485e8108897ba9fed8d3ba16595
Mean Decode TPS
95.65 tok/s · n=50
Decode distribution
Median 95.36; min 92.82; max 98.02; SD 1.24 tok/s
Mean effective request TPS
88.30 tok/s · includes TTFT
Mean time to first token
0.31 seconds
TTFT boundary
Client first delivered token
Mean request duration
11.42 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
73–7638 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
97.38% · acceptance alone does not establish a speedup
58.43
95.65—
27.13 GiBWhole-device sampled peak
Complete
NVIDIA NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for NVIDIA NVFP4 · Qwen3.8-27B

NVIDIA NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 50/50 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
nvidia/Qwen3.8-27B-NVFP4
Checkpoint revision
482ca0f3832238542f8f5295dde86b5f22711d80
Mean Decode TPS
96.07 tok/s · n=50
Decode distribution
Median 96.68; min 91.17; max 98.19; SD 1.60 tok/s
Mean effective request TPS
89.06 tok/s · includes TTFT
Mean time to first token
0.32 seconds
TTFT boundary
Client first delivered token
Mean request duration
17.82 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
73–11640 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
96.42% · acceptance alone does not establish a speedup
55.38
96.07—
27.27 GiBWhole-device sampled peak
Complete
OrcaRouter NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for OrcaRouter NVFP4 · Qwen3.8-27B

OrcaRouter NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 50/50 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
50/50 completed
Checkpoint
orcarouter/Qwen3.8-27B-Uncensored-NVFP4
Checkpoint revision
96d4d0b66d94314909d1af73f955e94bf68335ac
Mean Decode TPS
94.33 tok/s · n=50
Decode distribution
Median 94.70; min 88.76; max 96.98; SD 1.81 tok/s
Mean effective request TPS
87.17 tok/s · includes TTFT
Mean time to first token
0.34 seconds
TTFT boundary
Client first delivered token
Mean request duration
28.19 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
73–29884 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
97.29% · acceptance alone does not establish a speedup
54.69
94.33—
29.59 GiBWhole-device sampled peak
Complete
ThinkingCap GGUF Q6_KThinking Off · Q8_0 KVCampaign captured:
Capture, runtime & configuration for ThinkingCap GGUF Q6_K · Qwen3.8-27B

ThinkingCap GGUF Q6_K · Qwen3.8-27B

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
QB3-3.3.8 · QB3-SCORE-3.3.0
Context capacity
32,768 tokens
MTP
Native MTP1 · verified
Coverage
48/50 completed
Checkpoint
bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF
Checkpoint revision
108ff8f24ce8e9335fbf308844cd3c59c13380a4
Mean Decode TPS
97.59 tok/s · n=48
Decode distribution
Median 98.10; min 92.23; max 99.81; SD 1.90 tok/s
Mean effective request TPS
82.46 tok/s · includes TTFT
Mean time to first token
0.69 seconds
TTFT boundary
Runtime-native first-token timing
Mean request duration
11.00 seconds · selected completions only
Input tokens
340–2468 per request
Output tokens
71–8865 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
96.68% · acceptance alone does not establish a speedup

48/50 completed after two questions exhausted transport retries. No overall score. Speed and memory cover 48 completions only.

—
97.59—
23.88 GiBWhole-device sampled peak · partial completions
Incomplete48/50 completed after two questions exhausted transport retries. No overall score. Speed and memory cover 48 completions only.

HomHaystack / Reviewed: 9 Oct 2026

NVFP4 vs GGUF · reduced HomHaystack

Nine current configurations on one RTX 5090, with accuracy and decode generation speed kept separate from whole-request throughput.

Read the source
Highest observed score

97.50 / 100

ThinkingCap NVFP4
Test captured
Timestamp precision in result details
Application / version
LM Studio · version not recordedvLLM 0.29.0
Runtime / extension
llama.cpp · version not recordedvLLM 0.29.0
Benchmark
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
Thinking
Off · verified
MTP
Native MTP1 · verified
K / V cache
NVFP4: FP8 E4M3 · GGUF: Q8_0

Same nine-request reduced workload: 3,405 short / 6,314 long records; weights 30/20/50. OrcaRouter GGUF completed 8/9; no official overall. Keep these scores separate from 262,144-context Legacy results. These compare complete configurations, including runtime, cache and template differences. Memory is the highest sampled whole-device reading across selected completions; failed attempts are excluded.

9 results

Arithmetic mean Decode TPS; excludes TTFT. Partial rows are labeled. Effective request TPS and TTFT appear in result details. · — = not available

NVFP4 vs GGUF · reduced HomHaystack. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
ThinkingCap NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for ThinkingCap NVFP4 · Qwen3.8-27B

ThinkingCap NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 9/9 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
bottlecapai/ThinkingCap-Qwen3.8-27B-NVFP4
Checkpoint revision
fd15e50bffbcb3fd304f925b20ea8dee7de3bf6d
Mean Decode TPS
106.35 tok/s · n=9
Decode distribution
Median 106.99; min 103.29; max 107.86; SD 1.51 tok/s
Mean effective request TPS
43.72 tok/s · includes TTFT
Mean time to first token
15.40 seconds
TTFT boundary
Client first delivered token
Mean request duration
26.10 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1369 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.77% · acceptance alone does not establish a speedup
97.50
106.35—
25.74 GiBWhole-device sampled peak
Complete
NVIDIA NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for NVIDIA NVFP4 · Qwen3.8-27B

NVIDIA NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 9/9 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
nvidia/Qwen3.8-27B-NVFP4
Checkpoint revision
482ca0f3832238542f8f5295dde86b5f22711d80
Mean Decode TPS
94.06 tok/s · n=9
Decode distribution
Median 94.32; min 91.33; max 94.84; SD 1.08 tok/s
Mean effective request TPS
58.14 tok/s · includes TTFT
Mean time to first token
7.49 seconds
TTFT boundary
Client first delivered token
Mean request duration
19.63 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1369 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.69% · acceptance alone does not establish a speedup
96.67
94.06—
27.13 GiBWhole-device sampled peak
Complete
Base GGUF UD-Q6_KThinking Off · Q8_0 KVCampaign captured:
Capture, runtime & configuration for Base GGUF UD-Q6_K · Qwen3.8-27B

Base GGUF UD-Q6_K · Qwen3.8-27B

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
unsloth/Qwen3.8-27B-GGUF
Checkpoint revision
4ca720788d1e01f1bff70c033e0d0028fd02e502
Mean Decode TPS
78.34 tok/s · n=9
Decode distribution
Median 79.46; min 68.62; max 80.13; SD 3.66 tok/s
Mean effective request TPS
31.58 tok/s · includes TTFT
Mean time to first token
21.84 seconds
TTFT boundary
Runtime-native first-token timing
Mean request duration
36.58 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1371 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.71% · acceptance alone does not establish a speedup
95.83
78.34—
25.52 GiBWhole-device sampled peak
Complete
Swift 1.5 GGUF Q6_K_SThinking Off · Q8_0 KVCampaign captured:
Capture, runtime & configuration for Swift 1.5 GGUF Q6_K_S · Qwen3.8-27B

Swift 1.5 GGUF Q6_K_S · Qwen3.8-27B

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
bartowski/ukisai_Swift-1.5-Qwen3.8-27b-GGUF
Checkpoint revision
ce202c7d9a5d71969c60bf62a4f1c3e41747520c
Mean Decode TPS
81.62 tok/s · n=9
Decode distribution
Median 83.00; min 71.16; max 83.26; SD 3.94 tok/s
Mean effective request TPS
31.51 tok/s · includes TTFT
Mean time to first token
22.41 seconds
TTFT boundary
Runtime-native first-token timing
Mean request duration
36.48 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1369 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.80% · acceptance alone does not establish a speedup
95.83
81.62—
25.26 GiBWhole-device sampled peak
Complete
ThinkingCap GGUF Q6_KThinking Off · Q8_0 KVCampaign captured:
Capture, runtime & configuration for ThinkingCap GGUF Q6_K · Qwen3.8-27B

ThinkingCap GGUF Q6_K · Qwen3.8-27B

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF
Checkpoint revision
108ff8f24ce8e9335fbf308844cd3c59c13380a4
Mean Decode TPS
79.76 tok/s · n=9
Decode distribution
Median 80.98; min 69.96; max 81.27; SD 3.68 tok/s
Mean effective request TPS
31.66 tok/s · includes TTFT
Mean time to first token
21.99 seconds
TTFT boundary
Runtime-native first-token timing
Mean request duration
36.47 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1371 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.79% · acceptance alone does not establish a speedup
95.83
79.76—
26.20 GiBWhole-device sampled peak
Complete
Base NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for Base NVFP4 · Qwen3.8-27B

Base NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 9/9 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
unsloth/Qwen3.8-27B-NVFP4
Checkpoint revision
f0b7c9e722f5565102fff8481c99e4d86ae099c7
Mean Decode TPS
90.60 tok/s · n=9
Decode distribution
Median 91.17; min 87.18; max 91.93; SD 1.47 tok/s
Mean effective request TPS
54.54 tok/s · includes TTFT
Mean time to first token
8.26 seconds
TTFT boundary
Client first delivered token
Mean request duration
20.76 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1369 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.67% · acceptance alone does not establish a speedup
95.83
90.60—
28.28 GiBWhole-device sampled peak
Complete
OrcaRouter NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for OrcaRouter NVFP4 · Qwen3.8-27B

OrcaRouter NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 9/9 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
orcarouter/Qwen3.8-27B-Uncensored-NVFP4
Checkpoint revision
96d4d0b66d94314909d1af73f955e94bf68335ac
Mean Decode TPS
92.06 tok/s · n=9
Decode distribution
Median 92.31; min 89.56; max 92.91; SD 1.01 tok/s
Mean effective request TPS
55.31 tok/s · includes TTFT
Mean time to first token
8.26 seconds
TTFT boundary
Client first delivered token
Mean request duration
20.75 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1500 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.65% · acceptance alone does not establish a speedup
94.50
92.06—
29.53 GiBWhole-device sampled peak
Complete
Swift 1.5 NVFP4Thinking Off · FP8 E4M3 KVCaptured:
Capture, runtime & configuration for Swift 1.5 NVFP4 · Qwen3.8-27B

Swift 1.5 NVFP4 · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 9/9 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
vLLM 0.29.0
Inference engine / build
vLLM 0.29.0
OS / environment
WSL / Docker on Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
FP8 E4M3 · fixed 4 GiB pool
CPU weight / KV offload
None configured
Prefix reuse
Disabled
GPU
RTX 5090 · 32 GB
Execution
Compiled · verified graph replay · capture sizes 1 and 2
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
9/9 completed
Checkpoint
ukisai/Swift-1.5-Qwen3.8-27b-NVFP4
Checkpoint revision
25482027debd5485e8108897ba9fed8d3ba16595
Mean Decode TPS
93.71 tok/s · n=9
Decode distribution
Median 94.12; min 91.18; max 94.62; SD 1.04 tok/s
Mean effective request TPS
57.95 tok/s · includes TTFT
Mean time to first token
7.50 seconds
TTFT boundary
Client first delivered token
Mean request duration
19.66 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1369 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.75% · acceptance alone does not establish a speedup
94.17
93.71—
27.05 GiBWhole-device sampled peak
Complete
OrcaRouter GGUF Q6_KThinking Off · Q8_0 KVCaptured:
Capture, runtime & configuration for OrcaRouter GGUF Q6_K · Qwen3.8-27B

OrcaRouter GGUF Q6_K · Qwen3.8-27B

Test captured
Date precision
First selected request submission to last selected completion; 8/9 completed. Includes gaps between requests; not summed inference duration.
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Thinking
Off
MTP
Native · 1 proposed token
K / V cache
Q8_0 / Q8_0
CPU weight / KV offload
None configured
Prefix reuse
Model unloaded and reloaded between requests
GPU
RTX 5090 · 32 GB
Benchmark version
legacy-vram-mtp1-v1 · HS-1.2
Context capacity
90,112 tokens · 4,096 output · 2,048 safety
MTP
Native MTP1 · verified
Coverage
8/9 completed
Checkpoint
orcarouter/Qwen3.8-27B-Uncensored-GGUF
Checkpoint revision
a855f377abf5cbda99a278414466743f427e97c8
Mean Decode TPS
77.79 tok/s · n=8
Decode distribution
Median 79.28; min 67.57; max 79.49; SD 4.14 tok/s
Mean effective request TPS
29.30 tok/s · includes TTFT
Mean time to first token
23.97 seconds
TTFT boundary
SDK observer relative to request dispatch
Mean request duration
38.39 seconds · selected completions only
Input tokens
44488–82634 per request
Output tokens
705–1369 per completed request
Memory measurement
Highest sampled whole-device peak; no baseline subtraction. Partial rows exclude failed attempts.
Timing definition
Decode excludes initial wait and rejected MTP proposals. Client committed-token intervals for NVFP4; native per-request generation timing for GGUF.
Suite duration
Not shown; request timing excludes model loads and grading.
MTP acceptance
99.73% · acceptance alone does not establish a speedup

8/9 completed. One request reached the 4,096-token output cap on both allowed attempts. No overall score. Speed and memory cover eight completions only.

—
77.79—
25.96 GiBWhole-device sampled peak · partial completions
Incomplete8/9 completed. One request reached the 4,096-token output cap on both allowed attempts. No overall score. Speed and memory cover eight completions only.

QuantBench / Reviewed 3 Oct 2026

Uncensored & standard · thinking Off

50 practical tasks across five equally weighted difficulty tiers.

Read the source
Highest observed score

57.23 / 100

JonathanColetti Uncensored Q4_K_M
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.43.0 · selected
Benchmark
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
Thinking
Off
MTP
3 draft tokens
K / V cache
Q4 or Q8; see each row

One suite per configuration. Cache precision and thinking effort vary as labeled. VRAM is a sampled device-wide estimate in decimal GB; these are not physical 12/16 GB tests.

29 results

Mean generation tok/s · — = not available

Uncensored & standard · thinking Off. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
JonathanColetti Uncensored Q4_K_MOff · Q4 K/VCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 28890 / 29193 / 29197 / 29428 / 29491 / 29498 / 29550 / 29579 / 29585 / 29614 / 29623 / 29641 / 29745 / 29839 / 29840 / 29853 / 29856 / 29912 / 29956 / 29999 / 30085 / 30112 / 30150 / 30343 / 30345 / 30433 / 30436 / 30449 / 30450 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
84.00 / 100
Extreme
44.60 / 100
Extreme+
55.64 / 100
Extreme++
44.58 / 100
Extreme+++
57.33 / 100
57.23
—10.03
19.42 GBPeak minus pre-run baseline
Complete
RentedNoodle OrcaRouter GSQ-RCO Uncensored IQ3_XXSOff · Q4 K/VCaptured:
Capture, runtime & configuration for RentedNoodle Qwen3.8-27B OrcaRouter GSQ-RCO Uncensored IQ3_XXS

RentedNoodle Qwen3.8-27B OrcaRouter GSQ-RCO Uncensored IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
RentedNoodle/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-Uncensored/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-v2.0-qatfa.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
82.00 / 100
Extreme
55.00 / 100
Extreme+
48.16 / 100
Extreme++
38.10 / 100
Extreme+++
46.18 / 100
53.89
—10.98
13.73 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ3_XXSOff · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
67.50 / 100
Extreme
43.80 / 100
Extreme+
55.94 / 100
Extreme++
39.70 / 100
Extreme+++
53.91 / 100
52.17
—7.71
—
Complete
HauhauCS Aggressive MTP Q4_K_POff · Q4 K/VCaptured:
Capture, runtime & configuration for HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q4_K_P

HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q4_K_P

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
72.50 / 100
Extreme
51.00 / 100
Extreme+
37.87 / 100
Extreme++
42.60 / 100
Extreme+++
52.90 / 100
51.38
—16.21
20.77 GBPeak minus pre-run baseline
Complete
DavidAU Turbo-Fable-Cold-Fusion Q4_K_MOff · Q4 K/VCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Turbo-Fable-Cold-Fusion-735-882-Heretic-Uncensored-Neo-Coder-Max-MTP Q4_K_M

DavidAU Qwen3.8-27B Turbo-Fable-Cold-Fusion-735-882-Heretic-Uncensored-Neo-Coder-Max-MTP Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF/Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
64.50 / 100
Extreme
38.50 / 100
Extreme+
45.59 / 100
Extreme++
44.11 / 100
Extreme+++
62.59 / 100
51.06
—7.08
22.12 GBPeak minus pre-run baseline
Complete
JonathanColetti Uncensored IQ2_MOff · Q4 K/VCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored IQ2_M

JonathanColetti Qwen3.8-27B Uncensored IQ2_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-IQ2_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
70.50 / 100
Extreme
53.70 / 100
Extreme+
50.37 / 100
Extreme++
36.54 / 100
Extreme+++
43.71 / 100
50.96
—12.58
13.49 GBPeak minus pre-run baseline
Complete
Unsloth Q6_KOff · Q4 K/VCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Q6_K

Unsloth Qwen3.8-27B Q6_K

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q6_K.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
74.00 / 100
Extreme
36.00 / 100
Extreme+
54.71 / 100
Extreme++
43.14 / 100
Extreme+++
46.37 / 100
50.84
—13.56
24.37 GBPeak minus pre-run baseline
Complete
RentedNoodle OrcaRouter GSQ-RCO Uncensored IQ3_XXSOff · Q8 K/VCaptured:
Capture, runtime & configuration for RentedNoodle Qwen3.8-27B OrcaRouter GSQ-RCO Uncensored IQ3_XXS

RentedNoodle Qwen3.8-27B OrcaRouter GSQ-RCO Uncensored IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
RentedNoodle/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-Uncensored/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-v2.0-qatfa.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
72.00 / 100
Extreme
55.60 / 100
Extreme+
48.57 / 100
Extreme++
39.39 / 100
Extreme+++
37.76 / 100
50.66
—9.94
14.20 GBPeak minus pre-run baseline
Complete
Unsloth Q4_K_MOff · Q8 K/VCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Q4_K_M

Unsloth Qwen3.8-27B Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
67.00 / 100
Extreme
40.60 / 100
Extreme+
47.03 / 100
Extreme++
38.52 / 100
Extreme+++
57.42 / 100
50.11
—7.78
19.48 GBPeak minus pre-run baseline
Complete
ISTA-DASLab GSQ-RCO IQ3_XXSOff · Q8 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_XXS

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
76.00 / 100
Extreme
37.50 / 100
Extreme+
52.79 / 100
Extreme++
38.15 / 100
Extreme+++
44.99 / 100
49.89
—11.48
14.34 GBPeak minus pre-run baseline
Complete
HauhauCS Aggressive MTP Q2_K_POff · Q4 K/VCaptured:
Capture, runtime & configuration for HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q2_K_P

HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q2_K_P

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
70.50 / 100
Extreme
43.00 / 100
Extreme+
47.91 / 100
Extreme++
34.32 / 100
Extreme+++
52.74 / 100
49.69
—6.07
13.78 GBPeak minus pre-run baseline
Complete
Unsloth IQ3_SOff · Q4 K/VCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B IQ3_S

Unsloth Qwen3.8-27B IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
66.90 / 100
Extreme
34.00 / 100
Extreme+
45.98 / 100
Extreme++
42.37 / 100
Extreme+++
55.42 / 100
48.93
—7.18
—
Complete
ISTA-DASLab GSQ-RCO IQ2_SOff · Q4 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_S

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ2_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
70.50 / 100
Extreme
41.40 / 100
Extreme+
48.67 / 100
Extreme++
37.26 / 100
Extreme+++
44.58 / 100
48.48
—6.38
—
Complete
ISTA-DASLab GSQ-RCO IQ3_SOff · Q4 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_S

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
64.00 / 100
Extreme
47.00 / 100
Extreme+
46.31 / 100
Extreme++
46.50 / 100
Extreme+++
37.69 / 100
48.30
—7.90
—
Complete
DavidAU Turbo-Fable-Cold-Fusion IQ2_MOff · Q4 K/VCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Turbo-Fable-Cold-Fusion-735-882-Heretic-Uncensored-Neo-Coder-Max-MTP IQ2_M

DavidAU Qwen3.8-27B Turbo-Fable-Cold-Fusion-735-882-Heretic-Uncensored-Neo-Coder-Max-MTP IQ2_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF/Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-IQ2_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
77.00 / 100
Extreme
26.50 / 100
Extreme+
53.82 / 100
Extreme++
39.64 / 100
Extreme+++
44.51 / 100
48.29
—6.10
15.94 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ3_XXSOff · Q8 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
63.50 / 100
Extreme
47.00 / 100
Extreme+
50.36 / 100
Extreme++
40.24 / 100
Extreme+++
39.45 / 100
48.11
—8.02
13.14 GBPeak minus pre-run baseline
Complete
HauhauCS Aggressive MTP Q3_K_POff · Q4 K/VCaptured:
Capture, runtime & configuration for HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q3_K_P

HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q3_K_P

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
64.80 / 100
Extreme
33.50 / 100
Extreme+
48.25 / 100
Extreme++
35.36 / 100
Extreme+++
50.13 / 100
46.41
—8.13
16.42 GBPeak minus pre-run baseline
Complete
Unsloth Q2_K_XLOff · Q4 K/VCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Q2_K_XL

Unsloth Qwen3.8-27B Q2_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q2_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
76.00 / 100
Extreme
26.30 / 100
Extreme+
48.42 / 100
Extreme++
34.42 / 100
Extreme+++
44.91 / 100
46.01
—12.13
—
Complete
HauhauCS Aggressive MTP IQ3_MOff · Q4 K/VCaptured:
Capture, runtime & configuration for HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP IQ3_M

HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP IQ3_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
58.00 / 100
Extreme
40.60 / 100
Extreme+
43.55 / 100
Extreme++
42.25 / 100
Extreme+++
43.68 / 100
45.62
—8.46
15.78 GBPeak minus pre-run baseline
Complete
RentedNoodle GSQ-RCO Uncensored IQ3_XXSOff · Q4 K/VCaptured:
Capture, runtime & configuration for RentedNoodle Qwen3.8-27B GSQ-RCO Uncensored IQ3_XXS

RentedNoodle Qwen3.8-27B GSQ-RCO Uncensored IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored-v1.1.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
54.50 / 100
Extreme
36.00 / 100
Extreme+
42.24 / 100
Extreme++
39.98 / 100
Extreme+++
46.98 / 100
43.94
—10.74
—
Complete
0bserverx Heretic Abliterated Uncensored IQ3_XXSOff · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic Abliterated Uncensored IQ3_XXS

0bserverx Qwen3.8-27B Heretic Abliterated Uncensored IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF/RVN-IQ3_XXS-multilingual-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
74.50 / 100
Extreme
18.50 / 100
Extreme+
43.71 / 100
Extreme++
36.42 / 100
Extreme+++
45.16 / 100
43.66
—6.62
14.32 GBPeak minus pre-run baseline
Complete
JonathanColetti Uncensored IQ4_XSOff · Q4 K/VCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored IQ4_XS

JonathanColetti Qwen3.8-27B Uncensored IQ4_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-IQ4_XS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
73.30 / 100
Extreme
46.30 / 100
Extreme+
36.88 / 100
Extreme++
23.60 / 100
Extreme+++
35.05 / 100
43.03
—16.78
18.09 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ2_SOff · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_S

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ2_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
56.40 / 100
Extreme
36.60 / 100
Extreme+
45.42 / 100
Extreme++
32.23 / 100
Extreme+++
43.77 / 100
42.88
—6.67
—
Complete
JonathanColetti Uncensored Q6_KOff · Q4 K/VCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q6_K

JonathanColetti Qwen3.8-27B Uncensored Q6_K

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 28890 / 29193 / 29197 / 29428 / 29491 / 29498 / 29550 / 29579 / 29585 / 29614 / 29623 / 29641 / 29745 / 29839 / 29840 / 29853 / 29856 / 29912 / 29956 / 29999 / 30085 / 30112 / 30150 / 30343 / 30345 / 30433 / 30436 / 30449 / 30450 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-Q6_K.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
75.50 / 100
Extreme
20.80 / 100
Extreme+
41.20 / 100
Extreme++
34.51 / 100
Extreme+++
36.42 / 100
41.69
—15.12
24.22 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ3_SOff · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_S

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
70.50 / 100
Extreme
44.00 / 100
Extreme+
33.36 / 100
Extreme++
25.86 / 100
Extreme+++
21.64 / 100
39.07
—19.21
—
Complete
JonathanColetti Uncensored Q5_K_MOff · Q4 K/VCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q5_K_M

JonathanColetti Qwen3.8-27B Uncensored Q5_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 28890 / 29193 / 29197 / 29428 / 29491 / 29498 / 29550 / 29579 / 29585 / 29614 / 29623 / 29641 / 29745 / 29839 / 29840 / 29853 / 29856 / 29912 / 29956 / 29999 / 30085 / 30112 / 30150 / 30343 / 30345 / 30433 / 30436 / 30449 / 30450 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-Q5_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
68.80 / 100
Extreme
17.50 / 100
Extreme+
39.34 / 100
Extreme++
31.66 / 100
Extreme+++
37.78 / 100
39.02
—17.84
21.98 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ2_XSOff · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_XS

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ2_XS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
58.00 / 100
Extreme
18.10 / 100
Extreme+
29.94 / 100
Extreme++
43.47 / 100
Extreme+++
35.55 / 100
37.01
—6.62
—
Complete
1105s110 Blackfrost Abliterated GSQ-RCO IQ3_XXSOff · Q4 K/VCaptured:
Capture, runtime & configuration for 1105s110 Qwen3.8-27B Blackfrost Abliterated GSQ-RCO IQ3_XXS

1105s110 Qwen3.8-27B Blackfrost Abliterated GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29006 / 29309 / 29313 / 29544 / 29607 / 29614 / 29666 / 29695 / 29701 / 29730 / 29739 / 29757 / 29861 / 29955 / 29956 / 29969 / 29972 / 30028 / 30072 / 30115 / 30201 / 30228 / 30266 / 30459 / 30461 / 30549 / 30552 / 30565 / 30566 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
1105s110/Qwen3.8-27B-Blackfrost-Abliterated-GSQ-RCO-IQ3_XXS-GGUF/Qwen3.8-27B-Blackfrost-Abliterated-GSQ-RCO-IQ3_XXS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
47.40 / 100
Extreme
25.70 / 100
Extreme+
37.37 / 100
Extreme++
34.22 / 100
Extreme+++
36.92 / 100
36.32
—9.51
12.55 GBPeak minus pre-run baseline
Complete
ukisai Swift IQ2_SOff · Q4 K/VCaptured:
Capture, runtime & configuration for ukisai Swift Qwen3.8-27B IQ2_S

ukisai Swift Qwen3.8-27B IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
61.00 / 100
Extreme
11.60 / 100
Extreme+
47.08 / 100
Extreme++
25.28 / 100
Extreme+++
17.12 / 100
32.42
—10.28
—
Complete

QuantBench / Reviewed 3 Oct 2026

Uncensored & standard · thinking checks

50 practical tasks across five equally weighted difficulty tiers.

Read the source
Highest observed score

83.48 / 100

Unsloth IQ3_S
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.43.0 · selected
Benchmark
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
Thinking
Low / Medium
MTP
3 draft tokens
K / V cache
Q4 or Q8; see each row

One suite per configuration. Cache precision and thinking effort vary as labeled. VRAM is a sampled device-wide estimate in decimal GB; these are not physical 12/16 GB tests.

11 results

Mean generation tok/s · — = not available

Uncensored & standard · thinking checks. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Unsloth IQ3_SLow · Q4 K/VCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B IQ3_S

Unsloth Qwen3.8-27B IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
93.00 / 100
Extreme
97.50 / 100
Extreme+
78.10 / 100
Extreme++
83.45 / 100
Extreme+++
65.33 / 100
83.48
—49.67
14.92 GBPeak minus pre-run baseline
Complete
Unsloth IQ3_SMedium · Q4 K/VCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B IQ3_S

Unsloth Qwen3.8-27B IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29278 / 29581 / 29585 / 29816 / 29879 / 29886 / 29938 / 29967 / 29973 / 30002 / 30011 / 30029 / 30133 / 30227 / 30228 / 30241 / 30244 / 30300 / 30344 / 30387 / 30473 / 30500 / 30538 / 30731 / 30733 / 30821 / 30824 / 30837 / 30838 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
89.00 / 100
Extreme
88.50 / 100
Extreme+
97.35 / 100
Extreme++
76.22 / 100
Extreme+++
64.99 / 100
83.21
—47.52
14.88 GBPeak minus pre-run baseline
Complete
ISTA-DASLab GSQ-RCO IQ3_XXSLow · Q4 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_XXS

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
96.50 / 100
Extreme
94.50 / 100
Extreme+
65.35 / 100
Extreme++
83.83 / 100
Extreme+++
74.38 / 100
82.91
—42.09
13.22 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ3_XXSLow · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
94.50 / 100
Extreme
97.50 / 100
Extreme+
74.94 / 100
Extreme++
78.37 / 100
Extreme+++
61.10 / 100
81.28
—47.88
12.14 GBPeak minus pre-run baseline
Complete
ISTA-DASLab GSQ-RCO IQ3_SLow · Q4 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_S

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
94.00 / 100
Extreme
96.50 / 100
Extreme+
75.94 / 100
Extreme++
71.10 / 100
Extreme+++
63.36 / 100
80.18
—53.11
15.47 GBPeak minus pre-run baseline
Complete
ISTA-DASLab GSQ-RCO IQ2_SLow · Q4 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_S

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ2_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
93.00 / 100
Extreme
95.50 / 100
Extreme+
70.51 / 100
Extreme++
72.71 / 100
Extreme+++
62.19 / 100
78.78
—48.19
12.38 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ3_SLow · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_S

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
94.00 / 100
Extreme
95.00 / 100
Extreme+
86.25 / 100
Extreme++
56.13 / 100
Extreme+++
58.89 / 100
78.05
—58.24
14.47 GBPeak minus pre-run baseline
Complete
RentedNoodle GSQ-RCO Uncensored IQ3_XXSLow · Q4 K/VCaptured:
Capture, runtime & configuration for RentedNoodle Qwen3.8-27B GSQ-RCO Uncensored IQ3_XXS

RentedNoodle Qwen3.8-27B GSQ-RCO Uncensored IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored-v1.1.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
99.00 / 100
Extreme
94.50 / 100
Extreme+
75.64 / 100
Extreme++
68.84 / 100
Extreme+++
48.70 / 100
77.34
—50.87
13.26 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ2_SLow · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_S

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ2_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
94.00 / 100
Extreme
89.70 / 100
Extreme+
73.69 / 100
Extreme++
63.41 / 100
Extreme+++
65.08 / 100
77.18
—62.00
11.65 GBPeak minus pre-run baseline
Complete
ISTA-DASLab GSQ-RCO IQ2_XSLow · Q4 K/VCaptured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_XS

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
93.00 / 100
Extreme
72.50 / 100
Extreme+
65.80 / 100
Extreme++
56.72 / 100
Extreme+++
53.89 / 100
68.38
—69.11
11.70 GBPeak minus pre-run baseline
Complete
0bserverx Heretic GSQ-RCO IQ2_XSLow · Q4 K/VCaptured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_XS

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ2_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Enabled · 3 draft token(s)
FlashAttention / GPU KV
Enabled / Enabled
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 29248 / 29551 / 29555 / 29786 / 29849 / 29856 / 29908 / 29937 / 29943 / 29972 / 29981 / 29999 / 30103 / 30197 / 30198 / 30211 / 30214 / 30270 / 30314 / 30357 / 30443 / 30470 / 30508 / 30701 / 30703 / 30791 / 30794 / 30807 / 30808 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ2_XS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.0 / 3.3.1 · SCORE-3.3.0
Context capacity
32,768
MTP
3 draft tokens
Original
94.00 / 100
Extreme
93.50 / 100
Extreme+
54.17 / 100
Extreme++
48.95 / 100
Extreme+++
48.14 / 100
67.75
—62.93
10.65 GBPeak minus pre-run baseline
Complete

HomHaystack / Reviewed 3 Oct 2026

Uncensored & standard · long context

Nine requests: five Classic 128K, one Classic 240K, three Reasoning 128K.

Read the source
Highest observed score

98.23 / 100

DavidAU Turbo-Fable-Cold-Fusion Q4_K_M
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.43.0 · selected
Benchmark
HS-1.2
Context capacity
262,144
Thinking
Off
MTP
Off
K / V cache
Q8 / Q8

Overall = 30% Classic 128K + 20% Classic 240K + 50% Reasoning 128K. A single 240K run does not establish repeatability. Different QuantBench settings are not carried into this table.

12 results

Mean generation tok/s · — = not available

Uncensored & standard · long context. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
DavidAU Turbo-Fable-Cold-Fusion Q4_K_MOff · Q8 / Q8Captured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Turbo-Fable-Cold-Fusion-735-882-Heretic-Uncensored-Neo-Coder-Max-MTP Q4_K_M

DavidAU Qwen3.8-27B Turbo-Fable-Cold-Fusion-735-882-Heretic-Uncensored-Neo-Coder-Max-MTP Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF/Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
100.00 / 100
Classic 240K
99.50 / 100
Reasoning 128K
96.67 / 100
98.23
——
—
Complete
HauhauCS Aggressive MTP Q4_K_POff · Q8 / Q8Captured:
Capture, runtime & configuration for HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q4_K_P

HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q4_K_P

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
90.00 / 100
Classic 240K
99.50 / 100
Reasoning 128K
93.33 / 100
93.57
——
—
Complete
JonathanColetti Uncensored Q4_K_MOff · Q8 / Q8Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
100.00 / 100
Classic 240K
49.50 / 100
Reasoning 128K
95.00 / 100
87.40
——
—
Complete
0bserverx Heretic GSQ-RCO IQ3_XXSOff · Q8 / Q8Captured:
Capture, runtime & configuration for 0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

0bserverx Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF/RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
90.00 / 100
Classic 240K
50.00 / 100
Reasoning 128K
88.33 / 100
81.17
——
—
Complete
Unsloth Q4_K_MOff · Q8 / Q8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Q4_K_M

Unsloth Qwen3.8-27B Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
80.00 / 100
Classic 240K
50.00 / 100
Reasoning 128K
93.33 / 100
80.67
——
—
Complete
ISTA-DASLab GSQ-RCO IQ3_XXSOff · Q8 / Q8Captured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_XXS

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
80.00 / 100
Classic 240K
49.00 / 100
Reasoning 128K
93.33 / 100
80.47
——
—
Complete
RentedNoodle OrcaRouter GSQ-RCO Uncensored IQ3_XXSOff · Q8 / Q8Captured:
Capture, runtime & configuration for RentedNoodle Qwen3.8-27B OrcaRouter GSQ-RCO Uncensored IQ3_XXS

RentedNoodle Qwen3.8-27B OrcaRouter GSQ-RCO Uncensored IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
RentedNoodle/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-Uncensored/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-v2.0-qatfa.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
90.00 / 100
Classic 240K
49.50 / 100
Reasoning 128K
86.67 / 100
80.23
——
—
Complete
Unsloth IQ3_SOff · Q8 / Q8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B IQ3_S

Unsloth Qwen3.8-27B IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
100.00 / 100
Classic 240K
97.00 / 100
Reasoning 128K
58.33 / 100
78.57
——
—
Complete
HauhauCS Aggressive MTP Q2_K_POff · Q8 / Q8Captured:
Capture, runtime & configuration for HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q2_K_P

HauhauCS Qwen3.8-27B Uncensored HauhauCS-Aggressive-MTP Q2_K_P

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
100.00 / 100
Classic 240K
100.00 / 100
Reasoning 128K
56.67 / 100
78.33
——
—
Complete
ISTA-DASLab GSQ-RCO IQ3_SOff · Q8 / Q8Captured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_S

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
70.00 / 100
Classic 240K
50.00 / 100
Reasoning 128K
91.67 / 100
76.83
——
—
Complete
ISTA-DASLab GSQ-RCO IQ2_SOff · Q8 / Q8Captured:
Capture, runtime & configuration for ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_S

ISTA-DASLab Qwen3.8-27B GSQ-RCO IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF/Qwen3.8-27B-GSQ-RCO-IQ2_S-mtp.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
50.00 / 100
Classic 240K
48.50 / 100
Reasoning 128K
83.33 / 100
66.37
——
—
Complete
JonathanColetti Uncensored IQ2_MOff · Q8 / Q8Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored IQ2_M

JonathanColetti Qwen3.8-27B Uncensored IQ2_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
Evaluation / physical batch
1024 / 256
CPU threads
12
Parallel requests
1
Load seed
5090
MTP load setting
Off
FlashAttention / GPU KV
Enabled / Enabled
Model artifact
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF/Qwen3.8-27B-Uncensored-IQ2_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Classic 128K
49.90 / 100
Classic 240K
49.50 / 100
Reasoning 128K
60.00 / 100
54.87
——
—
Complete

QuantBench / Captured: 19 Sept 2026

Swift vs Unsloth · practical tasks

20 tests; 3,000 possible points. 28 attempted configurations, including five without a complete score.

Read the source
Highest observed score

97.00 / 100

Unsloth UD-Q4_K_S
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.24 Build 1
Runtime / extension
llama.cpp extension 2.41.0 · selected
Benchmark
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
Thinking
Low
MTP
2 draft tokens
K / V cache
Q4 / Q4

One suite per model. Mean generation includes thinking and final tokens, excluding loading and prefill. Reduced offload is called out in each affected row.

28 results

Mean generation tok/s · — = not available

Swift vs Unsloth · practical tasks. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Unsloth UD-Q4_K_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q4_K_S

Unsloth UD-Q4_K_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,910 / 3,000
Completed tasks
20 / 20
97.00
131.00—
—
Complete
Swift Q6_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift Q6_K_L

Swift Q6_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Actual GPU-offloaded layers
58
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-Q6_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,890 / 3,000
Completed tasks
20 / 20

Reduced GPU offload; speed is not a full-GPU comparison.

96.33
27.00—
—
CompleteReduced GPU offload; speed is not a full-GPU comparison.
Unsloth UD-Q4_K_MLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q4_K_M

Unsloth UD-Q4_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,890 / 3,000
Completed tasks
20 / 20
96.33
122.00—
—
Complete
Unsloth UD-Q6_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q6_K_XL

Unsloth UD-Q6_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Actual GPU-offloaded layers
58
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q6_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,880 / 3,000
Completed tasks
20 / 20

Reduced GPU offload; speed is not a full-GPU comparison.

96.00
31.40—
—
CompleteReduced GPU offload; speed is not a full-GPU comparison.
Unsloth UD-Q6_K_MLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q6_K_M

Unsloth UD-Q6_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Actual GPU-offloaded layers
63
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q6_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,860 / 3,000
Completed tasks
20 / 20

Reduced GPU offload; speed is not a full-GPU comparison.

95.33
61.50—
—
CompleteReduced GPU offload; speed is not a full-GPU comparison.
Unsloth UD-Q5_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q5_K_XL

Unsloth UD-Q5_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q5_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,850 / 3,000
Completed tasks
20 / 20
95.00
106.40—
—
Complete
Unsloth UD-Q6_KLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q6_K

Unsloth UD-Q6_K

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q6_K.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,850 / 3,000
Completed tasks
20 / 20
95.00
109.20—
—
Complete
Swift Q4_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift Q4_K_L

Swift Q4_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-Q4_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,820 / 3,000
Completed tasks
20 / 20
94.00
115.40—
—
Complete
Unsloth UD-IQ4_XSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ4_XS

Unsloth UD-IQ4_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ4_XS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,820 / 3,000
Completed tasks
20 / 20
94.00
140.10—
—
Complete
Unsloth UD-Q4_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q4_K_XL

Unsloth UD-Q4_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,820 / 3,000
Completed tasks
20 / 20
94.00
114.00—
—
Complete
Unsloth UD-Q6_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q6_K_L

Unsloth UD-Q6_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Actual GPU-offloaded layers
61
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q6_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,820 / 3,000
Completed tasks
20 / 20

Reduced GPU offload; speed is not a full-GPU comparison.

94.00
45.20—
—
CompleteReduced GPU offload; speed is not a full-GPU comparison.
Swift Q3_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift Q3_K_L

Swift Q3_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-Q3_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,810 / 3,000
Completed tasks
20 / 20
93.67
124.90—
—
Complete
Swift IQ2_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_S

Swift IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,800 / 3,000
Completed tasks
20 / 20
93.33
157.40—
—
Complete
Unsloth Q4_0Low · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth Q4_0

Unsloth Q4_0

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-Q4_0.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,800 / 3,000
Completed tasks
20 / 20
93.33
142.20—
—
Complete
Unsloth Q4_1Low · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth Q4_1

Unsloth Q4_1

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-Q4_1.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,800 / 3,000
Completed tasks
20 / 20
93.33
137.00—
—
Complete
Unsloth UD-Q5_K_MLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q5_K_M

Unsloth UD-Q5_K_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q5_K_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,790 / 3,000
Completed tasks
20 / 20
93.00
109.10—
—
Complete
Unsloth UD-Q2_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q2_K_XL

Unsloth UD-Q2_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q2_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,750 / 3,000
Completed tasks
20 / 20
91.67
158.80—
—
Complete
Unsloth UD-IQ3_XXSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ3_XXS

Unsloth UD-IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_XXS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,740 / 3,000
Completed tasks
20 / 20
91.33
156.10—
—
Complete
Unsloth UD-Q5_K_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q5_K_S

Unsloth UD-Q5_K_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q5_K_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,740 / 3,000
Completed tasks
20 / 20
91.33
108.70—
—
Complete
Unsloth UD-Q3_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q3_K_XL

Unsloth UD-Q3_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q3_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,730 / 3,000
Completed tasks
20 / 20
91.00
144.60—
—
Complete
Unsloth UD-IQ3_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ3_S

Unsloth UD-IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,680 / 3,000
Completed tasks
20 / 20
89.33
148.20—
—
Complete
Swift IQ2_XSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_XS

Swift IQ2_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_XS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
2,580 / 3,000
Completed tasks
20 / 20
86.00
159.50—
—
Complete
Swift IQ2_XXSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_XXS

Swift IQ2_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_XXS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens
Points
1,752 / 3,000
Completed tasks
20 / 20
58.40
160.50—
—
Complete
Unsloth UD-IQ1_MLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ1_M

Unsloth UD-IQ1_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens

Requested MTP2 setup lacked a supported bundled MTP head. No complete score.

—
——
—
UnsupportedRequested MTP2 setup lacked a supported bundled MTP head. No complete score.
Unsloth UD-IQ1_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ1_S

Unsloth UD-IQ1_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens

Requested MTP2 setup lacked a supported bundled MTP head. No complete score.

—
——
—
UnsupportedRequested MTP2 setup lacked a supported bundled MTP head. No complete score.
Unsloth UD-IQ2_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ2_S

Unsloth UD-IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens

Requested MTP2 setup lacked a supported bundled MTP head. No complete score.

—
——
—
UnsupportedRequested MTP2 setup lacked a supported bundled MTP head. No complete score.
Unsloth UD-IQ2_XXSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ2_XXS

Unsloth UD-IQ2_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens

Requested MTP2 setup lacked a supported bundled MTP head. No complete score.

—
——
—
UnsupportedRequested MTP2 setup lacked a supported bundled MTP head. No complete score.
Unsloth UD-Q8_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q8_K_L

Unsloth UD-Q8_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
600 seconds
Thinking effort
Low
GPU offload
Five exceptions: Swift Q6_K_L 58 layers; Unsloth Q6_K_L 61, Q6_K_M 63, Q6_K_XL 58, Q8_K_L 52
Actual GPU-offloaded layers
52
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 2 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
12800 / 19200 / 24576 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q8_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QBV2-3.2.0 · Extreme 20
Context capacity
32,768
MTP
2 draft tokens

16 of 20 tasks completed; 600-second watchdog on task 17. Reduced GPU offload.

—
——
—
Timeout16 of 20 tasks completed; 600-second watchdog on task 17. Reduced GPU offload.

HomHaystack / Captured: 19 Sept 2026

Swift vs Unsloth · 256K

Three seeds at each of three input lengths; nine requests per configuration.

Read the source
Highest observed score

98.19 / 100

Unsloth UD-Q4_K_S
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.24 Build 1
Runtime / extension
llama.cpp extension 2.41.0 · selected
Benchmark
HHV2-2.3.0
Context capacity
262,144
Thinking
Low
MTP
1 draft token
K / V cache
Q4 / Q4

Inputs: 4,096 / 65,536 / 235,776 tokens. The highest-input stage contributes 60%. Do not compare these totals directly with HS-1.2 or the other context cohort.

5 results

Mean generation tok/s · — = not available

Swift vs Unsloth · 256K. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Unsloth UD-Q4_K_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q4_K_S

Unsloth UD-Q4_K_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
262,144
MTP
1 draft token
Completed requests
9 / 9
98.19
59.0032.57
25.32 GiBSampled whole-board peak
Complete
Unsloth UD-Q5_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q5_K_XL

Unsloth UD-Q5_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q5_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
262,144
MTP
1 draft token
Completed requests
9 / 9
98.13
52.6037.08
29.64 GiBSampled whole-board peak
Complete
Swift Q3_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift Q3_K_L

Swift Q3_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-Q3_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
262,144
MTP
1 draft token
Completed requests
9 / 9
97.25
59.3029.93
23.51 GiBSampled whole-board peak
Complete
Swift Q4_K_LLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift Q4_K_L

Swift Q4_K_L

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-Q4_K_L.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
262,144
MTP
1 draft token
Completed requests
9 / 9
88.81
55.0032.23
27.88 GiBSampled whole-board peak
Complete
Swift IQ2_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_S

Swift IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
262,144
MTP
1 draft token
Completed requests
9 / 9
83.00
68.4035.93
20.26 GiBSampled whole-board peak
Complete

HomHaystack / Captured: 19 Sept 2026

Swift vs Unsloth · 32K

Three seeds at each of three input lengths; nine requests per configuration.

Read the source
Highest observed score

99.94 / 100

Unsloth UD-Q2_K_XL
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.24 Build 1
Runtime / extension
llama.cpp extension 2.41.0 · selected
Benchmark
HHV2-2.3.0
Context capacity
32,768
Thinking
Low
MTP
1 draft token
K / V cache
Q4 / Q4

Inputs: 4,096 / 8,192 / 15,360 tokens. 16 GB fit is projected from RTX 5090 measurements with a 2 GiB reserve. The highest-input stage contributes 60%. Do not compare these totals directly with HS-1.2 or the other context cohort.

5 results

Mean generation tok/s · — = not available

Swift vs Unsloth · 32K. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Unsloth UD-Q2_K_XLLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-Q2_K_XL

Unsloth UD-Q2_K_XL

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
512 / 64
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 8,192 / 15,360 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q2_K_XL.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
32,768
MTP
1 draft token
Completed requests
9 / 9
Projected use incl. 2 GiB reserve
13.68 GiB
99.94
115.508.80
13.90 GiBSampled whole-board peak
Complete
Unsloth UD-IQ3_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ3_S

Unsloth UD-IQ3_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
512 / 64
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 8,192 / 15,360 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
32,768
MTP
1 draft token
Completed requests
9 / 9
Projected use incl. 2 GiB reserve
15.49 GiB
99.90
108.608.57
15.72 GiBSampled whole-board peak
Complete
Unsloth UD-IQ3_XXSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ3_XXS

Unsloth UD-IQ3_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
512 / 64
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 8,192 / 15,360 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ3_XXS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
32,768
MTP
1 draft token
Completed requests
9 / 9
Projected use incl. 2 GiB reserve
14.77 GiB
99.88
111.509.08
15.01 GiBSampled whole-board peak
Complete
Swift IQ2_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_S

Swift IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
512 / 64
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 8,192 / 15,360 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
32,768
MTP
1 draft token
Completed requests
9 / 9
Projected use incl. 2 GiB reserve
13.61 GiB
94.33
114.508.68
13.59 GiBSampled whole-board peak
Complete
Swift IQ2_XSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_XS

Swift IQ2_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
512 / 64
Request watchdog
900 seconds
Output cap
Uncapped within context and request watchdog
Input targets
4,096 / 8,192 / 15,360 tokens; three dataset seeds per length
Shared campaign window
19 Sep 2026 · 17:42:29–21:15:09 CDT (capture and model checks across both Haystack cohorts; individual inference times not recorded)
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Enabled · 1 draft token(s)
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_XS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0
Context capacity
32,768
MTP
1 draft token
Completed requests
9 / 9
Projected use incl. 2 GiB reserve
12.97 GiB
79.35
121.107.98
13.20 GiBSampled whole-board peak
Complete

HomHaystack / Captured: 19 Sept 2026 – 20 Sept 2026

Swift vs Unsloth · 256K, MTP off

Six attempts with a 15-minute request watchdog. Three full Swift suites completed.

Read the source
Highest observed score

84.17 / 100

Swift IQ2_XS
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.24 Build 1
Runtime / extension
llama.cpp extension 2.41.0 · selected
Benchmark
HHV2-2.3.0 follow-up
Context capacity
262,144
Thinking
Low
MTP
Off
K / V cache
Q4 / Q4

None demonstrated both full-suite completion and projected fit within 16 GiB. Partial Unsloth runs have no full-suite score or comparable generation average.

6 results

Mean generation tok/s · — = not available

Swift vs Unsloth · 256K, MTP off. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Swift IQ2_XSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_XS

Swift IQ2_XS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Min-p / repetition / presence
0 / 1 / 0
GPU offload
Full requested-layer offload recorded
Request watchdog
900 seconds
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Memory telemetry
Two-second NVML samples; overflow precheck used 8,192 tokens despite 262,144 loaded context
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_XS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0 follow-up
Context capacity
262,144
MTP
Off
Completed requests
9/9

Completed, but exceeds the projected 16 GiB budget.

84.17
50.8048.32
17.22 GiBProjected use incl. 2 GiB reserve
CompleteCompleted, but exceeds the projected 16 GiB budget.
Swift IQ2_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_S

Swift IQ2_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Min-p / repetition / presence
0 / 1 / 0
GPU offload
Full requested-layer offload recorded
Request watchdog
900 seconds
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Memory telemetry
Two-second NVML samples; overflow precheck used 8,192 tokens despite 262,144 loaded context
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0 follow-up
Context capacity
262,144
MTP
Off
Completed requests
9/9

Completed, but exceeds the projected 16 GiB budget.

83.00
49.8044.91
17.76 GiBProjected use incl. 2 GiB reserve
CompleteCompleted, but exceeds the projected 16 GiB budget.
Swift IQ2_XXSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Swift IQ2_XXS

Swift IQ2_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Min-p / repetition / presence
0 / 1 / 0
GPU offload
Full requested-layer offload recorded
Request watchdog
900 seconds
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Memory telemetry
Two-second NVML samples; overflow precheck used 8,192 tokens despite 262,144 loaded context
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
ukisai/Swift-Qwen3.8-27B-GGUF/Swift-Qwen3.8-27B-IQ2_XXS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0 follow-up
Context capacity
262,144
MTP
Off
Completed requests
9/9

Completed, but exceeds the projected 16 GiB budget.

72.33
51.2049.21
17.01 GiBProjected use incl. 2 GiB reserve
CompleteCompleted, but exceeds the projected 16 GiB budget.
Unsloth UD-IQ1_SLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ1_S

Unsloth UD-IQ1_S

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Min-p / repetition / presence
0 / 1 / 0
GPU offload
Full requested-layer offload recorded
Request watchdog
900 seconds
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Memory telemetry
Two-second NVML samples; overflow precheck used 8,192 tokens despite 262,144 loaded context
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ1_S.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0 follow-up
Context capacity
262,144
MTP
Off
Completed requests
4/9

Full 256K suite did not complete; memory does not qualify the missing work.

—
—27.77
15.00 GiBProjected use incl. 2 GiB reserve
TimeoutFull 256K suite did not complete; memory does not qualify the missing work.
Unsloth UD-IQ1_MLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ1_M

Unsloth UD-IQ1_M

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Min-p / repetition / presence
0 / 1 / 0
GPU offload
Full requested-layer offload recorded
Request watchdog
900 seconds
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Memory telemetry
Two-second NVML samples; overflow precheck used 8,192 tokens despite 262,144 loaded context
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ1_M.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0 follow-up
Context capacity
262,144
MTP
Off
Completed requests
2/9

Full 256K suite did not complete; memory does not qualify the missing work.

—
—23.52
15.51 GiBProjected use incl. 2 GiB reserve
TimeoutFull 256K suite did not complete; memory does not qualify the missing work.
Unsloth UD-IQ2_XXSLow · Q4 / Q4Captured:
Capture, runtime & configuration for Unsloth UD-IQ2_XXS

Unsloth UD-IQ2_XXS

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.24 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 1 · top-p 0.95 · top-k 20 · seed 5090
FlashAttention / GPU KV
Enabled / Enabled
Parallel requests
1
Evaluation / physical batch
1024 / 256
Min-p / repetition / presence
0 / 1 / 0
GPU offload
Full requested-layer offload recorded
Request watchdog
900 seconds
Input targets
4,096 / 65,536 / 235,776 tokens; three dataset seeds per length
Memory telemetry
Two-second NVML samples; overflow precheck used 8,192 tokens despite 262,144 loaded context
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q4_0 / q4_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 1 · top-p 0.95 · top-k 20 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
true
Per-request output limits
false tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-IQ2_XXS.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HHV2-2.3.0 follow-up
Context capacity
262,144
MTP
Off
Completed requests
2/9

Full 256K suite did not complete; memory does not qualify the missing work.

—
—19.71
16.02 GiBProjected use incl. 2 GiB reserve
TimeoutFull 256K suite did not complete; memory does not qualify the missing work.

Historical / Video: 16 Sep 2026

Original Qwen quant comparison

Six practical tasks. Major-failure rules may cap the final suite score.

Read the source
Highest observed score

80.00 / 100

Q3_K_XL · Q8 KV
Test captured
7–9 Sep 2026 · answer datesStage or answer dates in result details
Application / version
LM Studio · version not recorded
Runtime / extension
llama.cpp · version not recorded
Benchmark
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
Thinking
Not consistently verified
MTP
Not consistently verified
K / V cache
See each row

Historical answer review with incomplete configuration parity. Use the reviewed article values; early workbook grades use different scoring and are not merged here.

7 results

Not reported · — = not available

Original Qwen quant comparison. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Q3_K_XL · Q8 KVNot consistently verified · Q8 KVCampaign captured:
Capture, runtime & configuration for Q3_K_XL · Q8 KV

Q3_K_XL · Q8 KV

Test captured
Date precision
Saved-answer timestamps; exact inference start and finish are not recorded.
Saved answer 01 submitted
Saved answer 02 submitted
Saved answer 03 submitted
Saved answer 05 submitted
Saved answer 06 submitted
Saved answer 07 submitted
Saved answer 04 submitted
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Saved context capacity
262144
Saved evaluation batch
2048
Saved physical batch
512
Saved MTP draft count
1
Saved temperature
1
Saved top-k
20
Saved top-p
0.95
Saved min-p
0 / disabled
Saved thinking enabled
true
Saved CPU threads
12
Saved load seed
5090
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Saved settings coverage
All seven saved entries
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
100 / 100
Numbers
100 / 100
Incident
88 / 100
PowerShell
25 / 100
Web app
98 / 100
Synthesis
79 / 100
Subtotal
490 / 600

Code was reviewed, not executed during grading.

80.00
——
—
Reviewed answersCode was reviewed, not executed during grading.
Q2_K_XL · Q8 KVNot consistently verified · Q8 KVCampaign captured:
Capture, runtime & configuration for Q2_K_XL · Q8 KV

Q2_K_XL · Q8 KV

Test captured
Date precision
Saved-answer timestamps; exact inference start and finish are not recorded.
Saved answer 01 submitted
Saved answer 02 submitted
Saved answer 03 submitted
Saved answer 04 submitted
Saved answer 05 submitted
Saved answer 06 submitted
Saved answer 07 submitted
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Saved context capacity
262144
Saved evaluation batch
2048
Saved physical batch
512
Saved MTP draft count
1
Saved temperature
1
Saved top-k
20
Saved top-p
0.95
Saved min-p
0 / disabled
Saved thinking enabled
true
Saved CPU threads
12
Saved load seed
5090
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Saved settings coverage
All seven saved entries
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
100 / 100
Numbers
98 / 100
Incident
61 / 100
PowerShell
49 / 100
Web app
96 / 100
Synthesis
82 / 100
Subtotal
486 / 600

Code was reviewed, not executed during grading.

80.00
——
—
Reviewed answersCode was reviewed, not executed during grading.
Q2_K_XL · Q4 KVNot consistently verified · Q4 KVCampaign captured:
Capture, runtime & configuration for Q2_K_XL · Q4 KV

Q2_K_XL · Q4 KV

Test captured
Date precision
Partial saved-answer date: answer 01 only. Other answer dates and exact inference times are not recorded.
Answer 01 submitted
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
100 / 100
Numbers
98 / 100
Incident
61 / 100
PowerShell
25 / 100
Web app
96 / 100
Synthesis
83 / 100
Subtotal
463 / 600

Code was reviewed, not executed during grading.

77.17
——
—
Reviewed answersCode was reviewed, not executed during grading.
Q5_K_XL · Q4 KVNot consistently verified · Q4 KVCampaign captured:
Capture, runtime & configuration for Q5_K_XL · Q4 KV

Q5_K_XL · Q4 KV

Test captured
Date precision
Saved-answer timestamps; exact inference start and finish are not recorded.
Saved answer 01 submitted
Saved answer 02 submitted
Saved answer 03 submitted
Saved answer 04 submitted
Saved answer 05 submitted
Saved answer 07 submitted
Saved answer 06 submitted
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Saved context capacity
262144
Saved evaluation batch
2048
Saved physical batch
512
Saved MTP draft count
1
Saved temperature
1
Saved top-k
20
Saved top-p
0.95
Saved min-p
disabled
Saved thinking enabled
true
Saved CPU threads
12
Saved load seed
5090
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Saved settings coverage
All seven saved entries
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
100 / 100
Numbers
99 / 100
Incident
49 / 100
PowerShell
69 / 100
Web app
39 / 100
Synthesis
97 / 100
Subtotal
453 / 600

Code was reviewed, not executed during grading.

65.00
——
—
Reviewed answersCode was reviewed, not executed during grading.
Q4_K_XL · Q8 KVNot consistently verified · Q8 KVCampaign captured:
Capture, runtime & configuration for Q4_K_XL · Q8 KV

Q4_K_XL · Q8 KV

Test captured
Date precision
Partial saved-answer dates: answers 01, 05, 06 and 07. Dates for answers 02–04 and exact inference times are not recorded.
Saved answer 01 submitted
Saved answer 05 submitted
Saved answer 07 submitted
Saved answer 06 submitted
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Saved context capacity
262144
Saved evaluation batch
2048
Saved physical batch
512
Saved MTP draft count
1
Saved temperature
1
Saved top-k
20
Saved top-p
0.95
Saved min-p
0 / disabled
Saved thinking enabled
true
Saved CPU threads
12
Saved load seed
5090
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Saved settings coverage
Entries 01, 05, 06 and 07 only; settings for entries 02–04 remain unconfirmed
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
100 / 100
Numbers
98 / 100
Incident
49 / 100
PowerShell
25 / 100
Web app
49 / 100
Synthesis
87 / 100
Subtotal
408 / 600

Code was reviewed, not executed during grading.

50.00
——
—
Reviewed answersCode was reviewed, not executed during grading.
IQ1_SNot consistently verified · Not confirmedCaptured: Not recorded
Capture, runtime & configuration for IQ1_S

IQ1_S

Test captured
Not recorded
Date precision
Capture date not recorded.
Capture timezone
Not recorded
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
86 / 100
Numbers
0* / 100
Incident
13 / 100
PowerShell
6 / 100
Web app
0* / 100
Synthesis
0* / 100
Subtotal
105 / 600

Missing answers received zero under the historical rubric.

17.50
——
—
Partial · scoredMissing answers received zero under the historical rubric.
IQ1_MNot consistently verified · Not confirmedCampaign captured:
Capture, runtime & configuration for IQ1_M

IQ1_M

Test captured
Date precision
Partial saved-answer date: answer 01 only. Other answer dates and exact inference times are not recorded.
Answer 01 submitted
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Benchmark version
QuantBench rubric 2.0.0
Context capacity
262,144 capacity described
MTP
Not consistently verified
JSON
73 / 100
Numbers
0* / 100
Incident
0* / 100
PowerShell
0* / 100
Web app
0* / 100
Synthesis
0* / 100
Subtotal
73 / 600

Missing answers received zero under the historical rubric.

12.17
——
—
Partial · scoredMissing answers received zero under the historical rubric.

Historical / Video: 16 Sep 2026

Frontier reference answers

Six practical tasks. Major-failure rules may cap the final suite score.

Read the source
Highest observed score

97.17 / 100

GPT-6 Astra · Medium
Test captured
Not recordedSource date above is not a capture date
Application / version
Hosted model services · version not recorded
Runtime / extension
Provider-managed · version not recorded
Benchmark
QuantBench rubric 2.0.0
Context capacity
Not consistently verified
Thinking
Not consistently verified
MTP
Not consistently verified
K / V cache
See each row

Historical answer review with incomplete configuration parity. Hosted-model settings and reasoning budgets were not controlled against local runs.

3 results

Not reported · — = not available

Frontier reference answers. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
GPT-6 Astra · MediumNot consistently verified · Not confirmedCaptured: Not recorded
Capture, runtime & configuration for GPT-6 Astra · Medium

GPT-6 Astra · Medium

Test captured
Not recorded
Date precision
Per-test capture date unavailable
Capture timezone
Not recorded
Application / version
Hosted model services · version not recorded
Inference engine / build
Provider-managed · version not recorded
OS / environment
Provider-managed; not recorded
Benchmark version
QuantBench rubric 2.0.0
Context capacity
Not consistently verified
MTP
Not consistently verified
JSON
99 / 100
Numbers
100 / 100
Incident
90 / 100
PowerShell
98 / 100
Web app
100 / 100
Synthesis
96 / 100
Subtotal
583 / 600

Code was reviewed, not executed during grading.

97.17
——
—
Reviewed answersCode was reviewed, not executed during grading.
GPT-5.6 · xHighNot consistently verified · Not confirmedCaptured: Not recorded
Capture, runtime & configuration for GPT-5.6 · xHigh

GPT-5.6 · xHigh

Test captured
Not recorded
Date precision
Per-test capture date unavailable
Capture timezone
Not recorded
Application / version
Hosted model services · version not recorded
Inference engine / build
Provider-managed · version not recorded
OS / environment
Provider-managed; not recorded
Benchmark version
QuantBench rubric 2.0.0
Context capacity
Not consistently verified
MTP
Not consistently verified
JSON
25 / 100
Numbers
100 / 100
Incident
84 / 100
PowerShell
99 / 100
Web app
97 / 100
Synthesis
93 / 100
Subtotal
498 / 600

Code was reviewed, not executed during grading.

80.00
——
—
Reviewed answersCode was reviewed, not executed during grading.
Claude Opus 5 · MediumNot consistently verified · Not confirmedCaptured: Not recorded
Capture, runtime & configuration for Claude Opus 5 · Medium

Claude Opus 5 · Medium

Test captured
Not recorded
Date precision
Per-test capture date unavailable
Capture timezone
Not recorded
Application / version
Hosted model services · version not recorded
Inference engine / build
Provider-managed · version not recorded
OS / environment
Provider-managed; not recorded
Benchmark version
QuantBench rubric 2.0.0
Context capacity
Not consistently verified
MTP
Not consistently verified
JSON
100 / 100
Numbers
99 / 100
Incident
69 / 100
PowerShell
49 / 100
Web app
90 / 100
Synthesis
49 / 100
Subtotal
456 / 600

Code was reviewed, not executed during grading.

65.00
——
—
Reviewed answersCode was reviewed, not executed during grading.

Historical / Video: 16 Sep 2026

Original Qwen · video-era Haystack

Video-era aggregation blends profile mean and minimum before the 30/20/50 overall weighting.

Read the source
Highest observed score

90.43 / 100

Q4_K_XL
Test captured
Timestamp precision in result details
Application / version
LM Studio · version not recorded
Runtime / extension
llama.cpp · version not recorded
Benchmark
Haystack v1.1
Context capacity
262,144
Thinking
Off
MTP
Not consistently verified
K / V cache
Original Q2–Q5: user-reported; see rows

Historical absent-query scoring can credit omitted or unparseable answers. Full cache and runtime parity is not established. IQ1_S remains incomplete, not zero.

7 results

Mean generation tok/s · — = not available

Original Qwen · video-era Haystack. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Q4_K_XLOff · Q8 / Q8 · user-reportedCampaign captured:
Capture, runtime & configuration for Q4_K_XL

Q4_K_XL

Test captured
Date precision
Classic group/request starts and all three final Reasoning-v2 request starts. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
Reasoning-v2 configuration
10,080 records · 20 questions · four keys per question · 130,343 input tokens · seed 20260909 · thinking Off
Reasoning K / V cache
Q8_0 / Q8_0
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
82.00
Classic 240K
100.00
Reasoning 128K
91.67
90.43
——
—
Historical
Q5_K_XLOff · Q4 / Q4 · user-reportedCampaign captured:
Capture, runtime & configuration for Q5_K_XL

Q5_K_XL

Test captured
Date precision
Classic group/request starts and all three final Reasoning-v2 request starts. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
Reasoning-v2 configuration
10,080 records · 20 questions · four keys per question · 130,343 input tokens · seed 20260909 · thinking Off
Reasoning K / V cache
Q4_0 / Q4_0
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
100.00
Classic 240K
49.50
Reasoning 128K
93.00
86.40
——
—
Historical
Q2_K_XL · second run, Q8 KVOff · Q8 / Q8 · correctedCampaign captured:
Capture, runtime & configuration for Q2_K_XL · second run, Q8 KV

Q2_K_XL · second run, Q8 KV

Test captured
Date precision
Recorded stage starts for this later attempt; completion status is unchanged. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
Context capacity
262,144 tokens
K / V cache
Q8_0 / Q8_0
GPU offload / FlashAttention
Full / enabled
Thinking
Off
Saved CSV K / V cache
Q8_0 / Q8_0 in Classic 128K, Classic 240K and Reasoning-v2 rows; metadata labels, not independent runtime readback
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
66.00
Classic 240K
100.00
Reasoning 128K
81.67
80.63
——
—
Historical
Q3_K_XLOff · Q8 / Q8 · user-reportedCampaign captured:
Capture, runtime & configuration for Q3_K_XL

Q3_K_XL

Test captured
Date precision
Classic group/request starts and all three final Reasoning-v2 request starts. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
Reasoning-v2 configuration
10,080 records · 20 questions · four keys per question · 130,343 input tokens · seed 20260909 · thinking Off
Reasoning K / V cache
Q8_0 / Q8_0
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
100.00
Classic 240K
47.50
Reasoning 128K
72.67
75.83
——
—
Historical
Q2_K_XL · originalOff · Q8 / Q8 · user-reportedCampaign captured:
Capture, runtime & configuration for Q2_K_XL · original

Q2_K_XL · original

Test captured
Date precision
Classic group/request starts and all three final Reasoning-v2 request starts. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
Reasoning-v2 configuration
10,080 records · 20 questions · four keys per question · 130,343 input tokens · seed 20260909 · thinking Off
Reasoning K / V cache
Q8_0 / Q8_0
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
74.00
Classic 240K
49.50
Reasoning 128K
81.67
72.93
——
—
Historical
IQ1_MOff · Not separately confirmedCampaign captured:
Capture, runtime & configuration for IQ1_M

IQ1_M

Test captured
Date precision
Recorded stage starts for this later attempt; completion status is unchanged. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
K / V cache
Q8_0 / Q8_0 in saved CSV metadata for all three stages; independent runtime readback not recovered
Saved CSV K / V cache
Q8_0 / Q8_0 in Classic 128K, Classic 240K and Reasoning-v2 rows; metadata labels, not independent runtime readback
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
74.32
Classic 240K
26.50
Reasoning 128K
1.33
28.26
——
—
Historical
IQ1_SOff · Not separately confirmedCampaign captured:
Capture, runtime & configuration for IQ1_S

IQ1_S

Test captured
Date precision
Recorded stage starts for this later attempt; completion status is unchanged. Finish timestamps unavailable.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Classic sampler
Temperature 0 · max output 4,096 tokens · base dataset seed 20260909 (original Q2–Q5 captures)
Classic requests
5 × 10,080 records at 128K; 1 × 18,689 records at 240K; 100 real keys and 20 distractors
Classic capture method
Serial Python HTTP requests
Classic K / V cache
Reported: Q2/Q3/Q4 Q8/Q8; Q5 Q4/Q4. Cache precision was not recorded in the Classic CSVs.
MTP verification
Per-request speculation settings not recorded.
K / V cache
Q8_0 / Q8_0 in saved CSV metadata for all three stages; independent runtime readback not recovered
Saved CSV K / V cache
Q8_0 / Q8_0 in Classic 128K, Classic 240K and Reasoning-v2 rows; metadata labels, not independent runtime readback
Benchmark version
Haystack v1.1
Context capacity
262,144
MTP
Not consistently verified
Classic 128K
50.00
Classic 240K
52.00
Reasoning 128K
Incomplete

IQ1_S retrieved no positive entries in the five Classic 128K runs; its non-answer proxy is not useful retrieval.

—
——
—
IncompleteIQ1_S retrieved no positive entries in the five Classic 128K runs; its non-answer proxy is not useful retrieval.

Historical / Later evaluator revision

Original Qwen · later regrade

Q3 and Q4 saved answers rescored with revised aggregation and parsing.

Read the source
Highest observed score

93.67 / 100

Q4_K_XL
Test captured
Timestamp precision in result details
Application / version
LM Studio · version not recorded
Runtime / extension
llama.cpp · version not recorded
Benchmark
HS-1.2 regrade
Context capacity
262,144
Thinking
Off
MTP
Historical settings
K / V cache
Historical settings

These two rows are not new inference and are not a fully regraded seven-model comparison.

2 results

Mean generation tok/s · — = not available

Original Qwen · later regrade. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Q4_K_XLOff · Historical settingsCampaign captured:
Capture, runtime & configuration for Q4_K_XL

Q4_K_XL

Test captured
Date precision
Classic group/request starts and all three final Reasoning-v2 request starts. Finish timestamps unavailable. Saved-answer regrade; no new inference.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Reasoning-v2 configuration
10,080 records · 20 questions · four keys per question · 130,343 input tokens · seed 20260909 · thinking Off
Reasoning K / V cache
Q8_0 / Q8_0
Benchmark version
HS-1.2 regrade
Context capacity
262,144
MTP
Historical settings
Video-era v1.1
90.43
New inference
No; same saved answers
93.67
——
—
Regraded
Q3_K_XLOff · Historical settingsCampaign captured:
Capture, runtime & configuration for Q3_K_XL

Q3_K_XL

Test captured
Date precision
Classic group/request starts and all three final Reasoning-v2 request starts. Finish timestamps unavailable. Saved-answer regrade; no new inference.
Classic 128K group started
Classic 240K request started
Reasoning-v2 request 1 started
Reasoning-v2 request 2 started
Reasoning-v2 request 3 started
Capture timezone
Local timestamp; CDT assumed (source CSV has no offset)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Reasoning-v2 configuration
10,080 records · 20 questions · four keys per question · 130,343 input tokens · seed 20260909 · thinking Off
Reasoning K / V cache
Q8_0 / Q8_0
Benchmark version
HS-1.2 regrade
Context capacity
262,144
MTP
Historical settings
Video-era v1.1
75.83
New inference
No; same saved answers
78.67
——
—
Regraded

Performance / Video: 16 Sep 2026

Original Qwen · generation speed

Arithmetic means of seven recorded generation rates, including the supplemental visual task.

Read the source
Highest recorded rate

115.38 tok/s

Q2_K_XL
Test captured
Timestamp precision in result details
Application / version
LM Studio · version not recorded
Runtime / extension
llama.cpp · version not recorded
Benchmark
Seven saved rate entries
Context capacity
Task-dependent
Thinking
Historical settings
MTP
Historical settings
K / V cache
Q2/3/4: Q8; Q5: Q4

Speed adds no quality points. The seven-rate average is not the six-task quality score and does not include prefill.

4 results

Mean generation tok/s · — = not available

Original Qwen · generation speed. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Q2_K_XLHistorical settings · Q2/3/4: Q8; Q5: Q4Campaign captured:
Capture, runtime & configuration for Q2_K_XL

Q2_K_XL

Test captured
Date precision
All seven saved generation-rate observations joined to exact model, ordinal and workbook rate. Submission/final-message times are not exact inference start/end times.
Rate entry 1 submitted
Rate entry 2 submitted
Rate entry 3 submitted
Rate entry 4 submitted
Rate entry 5 submitted
Rate entry 6 submitted
Rate entry 7 submitted
Capture timezone
UTC (saved Unix timestamp conversion)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Cache K / V
Q2/Q3/Q4: Q8_0/Q8_0; Q5: Q4_0/Q4_0
MTP evidence
All four seven-entry speed series record bundled MTP enabled, maximum 1 draft token, and nonzero native draft activity; saved-generation evidence
Saved context capacity
262144
Saved K / V cache
Q8_0 / Q8_0
Saved evaluation / physical batch
2048 / 512
Saved CPU threads
12
Saved load seed
5090
Saved MTP setting
Bundled MTP enabled; maximum 1 draft token
Native draft activity
Nonzero draft and accepted token counts in all seven native generation receipts
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved sampler
Temperature 1; top-k 20; top-p 0.95
Saved min-p field
Entry 1: enabled at 0; entries 2–7: unchecked with stored value 0.05; applied default not established
Saved thinking enabled
true; effort level not established
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Benchmark version
Seven saved rate entries
Context capacity
Task-dependent
MTP
Historical settings
Recorded range
101.04–134.66 tok/s
Rate entries
7
—
115.38—
—
Historical
Q3_K_XLHistorical settings · Q2/3/4: Q8; Q5: Q4Campaign captured:
Capture, runtime & configuration for Q3_K_XL

Q3_K_XL

Test captured
Date precision
All seven saved generation-rate observations joined to exact model, ordinal and workbook rate. Submission/final-message times are not exact inference start/end times.
Rate entry 1 submitted
Rate entry 2 submitted
Rate entry 3 submitted
Rate entry 4 submitted
Rate entry 5 submitted
Rate entry 6 submitted
Rate entry 7 submitted
Capture timezone
UTC (saved Unix timestamp conversion)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Cache K / V
Q2/Q3/Q4: Q8_0/Q8_0; Q5: Q4_0/Q4_0
MTP evidence
All four seven-entry speed series record bundled MTP enabled, maximum 1 draft token, and nonzero native draft activity; saved-generation evidence
Saved context capacity
262144
Saved K / V cache
Q8_0 / Q8_0
Saved evaluation / physical batch
2048 / 512
Saved CPU threads
12
Saved load seed
5090
Saved MTP setting
Bundled MTP enabled; maximum 1 draft token
Native draft activity
Nonzero draft and accepted token counts in all seven native generation receipts
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved sampler
Temperature 1; top-k 20; top-p 0.95
Saved min-p field
Entry 1: enabled at 0; entries 2–7: unchecked with stored value 0.05; applied default not established
Saved thinking enabled
true; effort level not established
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Benchmark version
Seven saved rate entries
Context capacity
Task-dependent
MTP
Historical settings
Recorded range
96.91–114.29 tok/s
Rate entries
7
—
103.77—
—
Historical
Q4_K_XLHistorical settings · Q2/3/4: Q8; Q5: Q4Campaign captured:
Capture, runtime & configuration for Q4_K_XL

Q4_K_XL

Test captured
Date precision
All seven saved generation-rate observations joined to exact model, ordinal and workbook rate. Submission/final-message times are not exact inference start/end times.
Rate entry 1 submitted
Rate entry 2 submitted
Rate entry 3 submitted
Rate entry 4 submitted
Rate entry 5 submitted
Rate entry 6 submitted
Rate entry 7 submitted
Capture timezone
UTC (saved Unix timestamp conversion)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Cache K / V
Q2/Q3/Q4: Q8_0/Q8_0; Q5: Q4_0/Q4_0
MTP evidence
All four seven-entry speed series record bundled MTP enabled, maximum 1 draft token, and nonzero native draft activity; saved-generation evidence
Saved context capacity
262144
Saved K / V cache
Q8_0 / Q8_0
Saved evaluation / physical batch
2048 / 512
Saved CPU threads
12
Saved load seed
5090
Saved MTP setting
Bundled MTP enabled; maximum 1 draft token
Native draft activity
Nonzero draft and accepted token counts in all seven native generation receipts
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved sampler
Temperature 1; top-k 20; top-p 0.95
Saved min-p field
Entry 1: enabled at 0; entries 2–7: unchecked with stored value 0.05; applied default not established
Saved thinking enabled
true; effort level not established
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Benchmark version
Seven saved rate entries
Context capacity
Task-dependent
MTP
Historical settings
Recorded range
86.86–94.07 tok/s
Rate entries
7
—
89.89—
—
Historical
Q5_K_XLHistorical settings · Q2/3/4: Q8; Q5: Q4Campaign captured:
Capture, runtime & configuration for Q5_K_XL

Q5_K_XL

Test captured
Date precision
All seven saved generation-rate observations joined to exact model, ordinal and workbook rate. Submission/final-message times are not exact inference start/end times.
Rate entry 1 submitted
Rate entry 2 submitted
Rate entry 3 submitted
Rate entry 4 submitted
Rate entry 5 submitted
Rate entry 6 submitted
Rate entry 7 submitted
Capture timezone
UTC (saved Unix timestamp conversion)
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Windows 11 · OS build not recorded
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Cache K / V
Q2/Q3/Q4: Q8_0/Q8_0; Q5: Q4_0/Q4_0
MTP evidence
All four seven-entry speed series record bundled MTP enabled, maximum 1 draft token, and nonzero native draft activity; saved-generation evidence
Saved context capacity
262144
Saved K / V cache
Q4_0 / Q4_0
Saved evaluation / physical batch
2048 / 512
Saved CPU threads
12
Saved load seed
5090
Saved MTP setting
Bundled MTP enabled; maximum 1 draft token
Native draft activity
Nonzero draft and accepted token counts in all seven native generation receipts
Saved FlashAttention / GPU KV
Enabled / enabled
Saved GPU offload ratio
1 requested; actual layer placement not established
Saved parallel requests
1
Saved sampler
Temperature 1; top-k 20; top-p 0.95
Saved min-p field
All seven entries: unchecked, stored value 0.05; applied default not established
Saved thinking enabled
true; effort level not established
Saved context overflow policy
stopAtLimit
Saved repetition / frequency / presence penalties
1 / disabled / disabled
Benchmark version
Seven saved rate entries
Context capacity
Task-dependent
MTP
Historical settings
Recorded range
63.00–86.72 tok/s
Rate entries
7
—
79.08—
—
Historical

QuantBench / Captured: 25 Sep 2026

byteshape IQ3_XS · practical tasks

Standalone capture with task-scoped scores and memory telemetry.

Read the source
Highest observed score

58.10 / 100

byteshape IQ3_XS · 3.01bpw
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.43.0 · selected
Benchmark
QB3-3.3.5
Context capacity
32,768
Thinking
Off
MTP
Off
K / V cache
Q8 / Q8

A separate campaign and benchmark version. Do not merge into the MTP3 or thinking-enabled rankings. Device estimates are not exclusive model allocation.

1 results

Median generation tok/s · — = not available

byteshape IQ3_XS · practical tasks. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
byteshape IQ3_XS · 3.01bpwOff · Q8 / Q8Captured:
Capture, runtime & configuration for byteshape Qwen3.8-27B IQ3_XS · 3.01bpw

byteshape Qwen3.8-27B IQ3_XS · 3.01bpw

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 0 · top-p 1 · top-k 40 · min-p 0 · seed 5090
Penalties
Repetition 1 · presence 0
FlashAttention / GPU KV
Enabled / Enabled
GPU offload / CPU expert ratio
1 / 0 (verified readback)
Parallel requests
1
Evaluation / physical batch
512 / 512
Loaded settings
Verified after load
Context capacity
32768
K / V cache
q8_0 / q8_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Per-request sampler
Temperature 0 · top-p 1 · top-k 40 · min-p 0
Per-request penalties
Repetition 1 · presence 0
Per-request thinking enabled
false
Per-request output limits
12800 / 19200 / 24576 / 29276 / 29579 / 29583 / 29814 / 29877 / 29884 / 29936 / 29965 / 29971 / 30000 / 30009 / 30027 / 30131 / 30225 / 30226 / 30239 / 30242 / 30298 / 30342 / 30385 / 30471 / 30498 / 30536 / 30729 / 30731 / 30819 / 30822 / 30835 / 30836 / 6400 tokens; false means uncapped
Context overflow policy
"stopAtLimit"
Model artifact
byteshape/Qwen3.8-27B-GGUF/Qwen3.8-27B-IQ3_XS-3.01bpw.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
QB3-3.3.5
Context capacity
32,768
MTP
Off
Completed requests
50 / 50
Absolute board peak
14.40 GB
Median time to first token
0.39 s
Model size incl. auxiliary files
11.28 GB
58.10
100.979.35
12.75 GBPeak minus pre-load baseline
Complete

HomHaystack / Captured: 25 Sep 2026

byteshape IQ3_XS · long context

Standalone capture with task-scoped scores and memory telemetry.

Read the source
Highest observed score

86.83 / 100

byteshape IQ3_XS · 3.01bpw
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
llama.cpp extension 2.43.0 · selected
Benchmark
HS-1.2
Context capacity
262,144
Thinking
Off
MTP
Off
K / V cache
Q8 / Q8

A separate campaign and benchmark version. Do not merge into the MTP3 or thinking-enabled rankings. Device estimates are not exclusive model allocation.

1 results

Median generation tok/s · — = not available

byteshape IQ3_XS · long context. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
byteshape IQ3_XS · 3.01bpwOff · Q8 / Q8Captured:
Capture, runtime & configuration for byteshape Qwen3.8-27B IQ3_XS · 3.01bpw

byteshape Qwen3.8-27B IQ3_XS · 3.01bpw

Test captured
Date precision
Task start and finish include model loading and cleanup; individual inference times may differ.
Capture started
Capture finished
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
Windows · OS version 10.0.26200
GPU driver version
616.92
CUDA runtime version
Not recorded for this capture
Sampling
Temperature 0 · top-p 1 · top-k 40 · min-p 0 · seed 5090
Penalties
Repetition 1 · presence 0
FlashAttention / GPU KV
Enabled / Enabled
GPU offload / CPU expert ratio
1 / 0 (verified readback)
Parallel requests
1
Evaluation / physical batch
1024 / 256
Loaded settings
Verified after load
Context capacity
262144
K / V cache
q8_0 / q8_0
CPU threads
12
Load seed
5090
MTP load setting
Off
Model artifact
byteshape/Qwen3.8-27B-GGUF/Qwen3.8-27B-IQ3_XS-3.01bpw.gguf
CUDA driver capability
13.4 · driver-reported UMD capability; loaded CUDA runtime not recorded
Benchmark version
HS-1.2
Context capacity
262,144
MTP
Off
Completed requests
9 / 9
Absolute board peak
23.11 GB
Median time to first token
73.90 s
Model size incl. auxiliary files
11.28 GB
86.83
57.8316.73
21.47 GBPeak minus pre-load baseline
Complete

Historical / Audit: 1 Oct 2026

NVFP4 vs GGUF · original speed baseline

Historical arithmetic means of native decode rates.

Read the source
Highest recorded rate

100.56 tok/s

Swift 1.5 GGUF · QuantBench
Test captured
Timestamp precision in result details
Application / version
vLLM 0.27.1LM Studio · version not recordedvLLM · version not recorded
Runtime / extension
vLLM 0.27.1llama.cpp · version not recordedvLLM · version not recorded
Benchmark
Timing audit baseline
Context capacity
Frozen campaign profile
Thinking
See per-result settings
MTP
See per-result settings
K / V cache
Backend-specific

The audit confirmed a real configuration-specific slowdown, not a prefill/decode denominator error. Later repair captures are separate from this historical series. Exact model/cache parity is not established here; this is not a universal format verdict.

10 results

Mean native decode tok/s · — = not available

NVFP4 vs GGUF · original speed baseline. Scores are out of 100; Edition-specific benchmark score. Time basis: Suite minutes.
Model & configurationScore / 100Generation tok/sSuite minutesMemory see basisEvidence
Base Qwen NVFP4 · QuantBenchThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Base Qwen NVFP4 · QuantBench

Base Qwen NVFP4 · QuantBench

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
vLLM 0.27.1
Inference engine / build
vLLM 0.27.1
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
32768
MTP
1 draft token
Thinking
Off
Container image
sha256:0a51ea5b4ae2dc5d81890e5173f54203d2a3ae0cfffe51b8fd2afd4391bfd967
K / V cache
FP8 E4M3
Execution
Eager · 1 sequence · 2,048 batched tokens · GPU utilization 0.92 · prefix caching disabled
Effective sampling
Greedy: temperature 0 · top-p 1 · effective top-k 0 (requested 40) · seed 5090
Cache scale qualification
Startup profiling; standalone calibration and numerical scale readback not verified.
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
22.65—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Base Qwen NVFP4 · HomHaystackThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Base Qwen NVFP4 · HomHaystack

Base Qwen NVFP4 · HomHaystack

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
vLLM 0.27.1
Inference engine / build
vLLM 0.27.1
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
90112
MTP
1 draft token
Thinking
Off
Container image
sha256:0a51ea5b4ae2dc5d81890e5173f54203d2a3ae0cfffe51b8fd2afd4391bfd967
K / V cache
FP8 E4M3
Execution
Eager · 1 sequence · 2,048 batched tokens · GPU utilization 0.92 · prefix caching disabled
Effective sampling
Greedy: temperature 0 · top-p 1 · effective top-k 0 (requested 40) · seed 5090
Cache scale qualification
Startup profiling; standalone calibration and numerical scale readback not verified.
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
22.75—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Base Qwen GGUF · QuantBenchThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Base Qwen GGUF · QuantBench

Base Qwen GGUF · QuantBench

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
32768
MTP
1 draft token
Thinking
Off
K / V cache
Q8_0 / Q8_0
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
95.48—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Base Qwen GGUF · HomHaystackThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Base Qwen GGUF · HomHaystack

Base Qwen GGUF · HomHaystack

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
90112
MTP
1 draft token
Thinking
Off
K / V cache
Q8_0 / Q8_0
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
78.34—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Swift 1.5 NVFP4 · QuantBenchThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Swift 1.5 NVFP4 · QuantBench

Swift 1.5 NVFP4 · QuantBench

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
vLLM 0.27.1
Inference engine / build
vLLM 0.27.1
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
32768
MTP
1 draft token
Thinking
Off
Container image
sha256:0a51ea5b4ae2dc5d81890e5173f54203d2a3ae0cfffe51b8fd2afd4391bfd967
K / V cache
FP8 E4M3
Execution
Eager · 1 sequence · 2,048 batched tokens · GPU utilization 0.92 · prefix caching disabled
Effective sampling
Greedy: temperature 0 · top-p 1 · effective top-k 0 (requested 40) · seed 5090
Cache scale qualification
Startup profiling; standalone calibration and numerical scale readback not verified.
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
17.01—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Swift 1.5 NVFP4 · HomHaystackThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Swift 1.5 NVFP4 · HomHaystack

Swift 1.5 NVFP4 · HomHaystack

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
vLLM 0.27.1
Inference engine / build
vLLM 0.27.1
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
90112
MTP
1 draft token
Thinking
Off
Container image
sha256:0a51ea5b4ae2dc5d81890e5173f54203d2a3ae0cfffe51b8fd2afd4391bfd967
K / V cache
FP8 E4M3
Execution
Eager · 1 sequence · 2,048 batched tokens · GPU utilization 0.92 · prefix caching disabled
Effective sampling
Greedy: temperature 0 · top-p 1 · effective top-k 0 (requested 40) · seed 5090
Cache scale qualification
Startup profiling; standalone calibration and numerical scale readback not verified.
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
16.72—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Swift 1.5 GGUF · QuantBenchThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Swift 1.5 GGUF · QuantBench

Swift 1.5 GGUF · QuantBench

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
32768
MTP
1 draft token
Thinking
Off
K / V cache
Q8_0 / Q8_0
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
100.56—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
Swift 1.5 GGUF · HomHaystackThinking Off · Backend-specificCampaign captured:
Capture, runtime & configuration for Swift 1.5 GGUF · HomHaystack

Swift 1.5 GGUF · HomHaystack

Test captured
Date precision
Request-wrapper timestamps; exact inference and token start/finish times are not recorded.
First request wrapper timestamp
Last request wrapper timestamp
Capture timezone
CDT (UTC−05:00); converted from recorded UTC
Application / version
LM Studio · version not recorded
Inference engine / build
llama.cpp · version not recorded
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Context capacity
90112
MTP
1 draft token
Thinking
Off
K / V cache
Q8_0 / Q8_0
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Historical native decode measurement. Later repair captures are separate.

—
81.62—
—
Audit baselineHistorical native decode measurement. Later repair captures are separate.
ThinkingCap NVFP4 · QuantBenchThinking not recorded · Backend-specificCaptured: Not recorded
Capture, runtime & configuration for ThinkingCap NVFP4 · QuantBench

ThinkingCap NVFP4 · QuantBench

Test captured
Not recorded
Date precision
No valid benchmark result; capture date not recorded.
Capture timezone
Not recorded
Application / version
vLLM · version not recorded
Inference engine / build
vLLM · version not recorded
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Unavailable in the original campaign. The later repaired NVFP4 campaign has separate completed results.

—
——
—
UnavailableUnavailable in the original campaign. The later repaired NVFP4 campaign has separate completed results.
ThinkingCap NVFP4 · HomHaystackThinking not recorded · Backend-specificCaptured: Not recorded
Capture, runtime & configuration for ThinkingCap NVFP4 · HomHaystack

ThinkingCap NVFP4 · HomHaystack

Test captured
Not recorded
Date precision
No valid benchmark result; capture date not recorded.
Capture timezone
Not recorded
Application / version
vLLM · version not recorded
Inference engine / build
vLLM · version not recorded
OS / environment
Not recorded for this capture
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Benchmark version
Timing audit baseline
Context capacity
Frozen campaign profile
MTP
See per-result settings

Unavailable in the original campaign. The later repaired NVFP4 campaign has separate completed results.

—
——
—
UnavailableUnavailable in the original campaign. The later repaired NVFP4 campaign has separate completed results.

Blender tool calling / Captured 7 October 2026 UTC

Blender Q6 · four-attempt measured summary

Six artifacts, four retained attempts each. Structural compliance does not establish visual quality.

Read the source
Highest observed score

8.00 / 8

4 results tied in the full profile
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
Not recorded
Benchmark
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
Thinking
On · native template
MTP
MTP1 requested; runtime behavior not isolated
K / V cache
Q8_0 / Q8_0 requested

Huihui mean score uses three measured scenes; its fourth score is unavailable. Mean time uses all four retained attempts, including its 45-minute crash deadline. Token counts sum repeated input context and generated tokens.

6 results

Generation rate not included; elapsed time includes tool and render work · — = not available

Blender Q6 · four-attempt measured summary. Scores are out of 8; Mean automated structural checks; measured-scene denominator in each record. Time basis: Mean attempt minutes.
Model & configurationScore / 8Generation tok/sMean attempt minutesMemory see basisEvidence
ThinkingCap Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for ThinkingCap Qwen3.8-27B Q6_K

ThinkingCap Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
All four retained scene-generation captures
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
ThinkingCap-Qwen3.8-27B-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Scenes measured
4/4
Saved model images
4/4
Mean total tokens
545,801.75
Tool errors / calls
8 / 79
Individual scene scores
8, 8, 8, 8
All measurements and denominators (7)
retained attempts
4 attemptsRetained comparison
scored scenes
4 scenesComplete eight-check scores
saved model images
4 imagesValid model-made PNGs
mean total tokens
545,801.75 tokensInput plus generated tokens, including repeated context
tool calls
79 callsSum over four retained attempts
tool errors
8 errorsSum over four retained attempts
mean attempt seconds
1,389.3865 secondsFour attempts; excludes loading, preflight and post-run checks/captures

4/4 measured scenes and saved images. Structural checks do not grade the visible result.

8.00
—23.16
—
Complete4/4 measured scenes and saved images. Structural checks do not grade the visible result.
Unsloth Qwen3.8-27B UD-Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
All four retained scene-generation captures
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Scenes measured
4/4
Saved model images
4/4
Mean total tokens
557,488.25
Tool errors / calls
6 / 90
Individual scene scores
8, 8, 8, 8
All measurements and denominators (7)
retained attempts
4 attemptsRetained comparison
scored scenes
4 scenesComplete eight-check scores
saved model images
4 imagesValid model-made PNGs
mean total tokens
557,488.25 tokensInput plus generated tokens, including repeated context
tool calls
90 callsSum over four retained attempts
tool errors
6 errorsSum over four retained attempts
mean attempt seconds
476.801 secondsFour attempts; excludes loading, preflight and post-run checks/captures

4/4 measured scenes and saved images. Structural checks do not grade the visible result.

8.00
—7.95
—
Complete4/4 measured scenes and saved images. Structural checks do not grade the visible result.
Dirk Qwen3.8-27B UD-Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Dirk Qwen3.8-27B UD-Q6_K

Dirk Qwen3.8-27B UD-Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
All four retained scene-generation captures
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Dirk-Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Scenes measured
4/4
Saved model images
4/4
Mean total tokens
377,796.50
Tool errors / calls
5 / 102
Individual scene scores
8, 8, 8, 8
All measurements and denominators (7)
retained attempts
4 attemptsRetained comparison
scored scenes
4 scenesComplete eight-check scores
saved model images
4 imagesValid model-made PNGs
mean total tokens
377,796.5 tokensInput plus generated tokens, including repeated context
tool calls
102 callsSum over four retained attempts
tool errors
5 errorsSum over four retained attempts
mean attempt seconds
319.877 secondsFour attempts; excludes loading, preflight and post-run checks/captures

4/4 measured scenes and saved images. Structural checks do not grade the visible result.

8.00
—5.33
—
Complete4/4 measured scenes and saved images. Structural checks do not grade the visible result.
JonathanColetti Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Q6_K

JonathanColetti Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
All four retained scene-generation captures
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-Uncensored-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Scenes measured
4/4
Saved model images
4/4
Mean total tokens
225,220.25
Tool errors / calls
6 / 79
Individual scene scores
8, 8, 8, 8
All measurements and denominators (7)
retained attempts
4 attemptsRetained comparison
scored scenes
4 scenesComplete eight-check scores
saved model images
4 imagesValid model-made PNGs
mean total tokens
225,220.25 tokensInput plus generated tokens, including repeated context
tool calls
79 callsSum over four retained attempts
tool errors
6 errorsSum over four retained attempts
mean attempt seconds
216.57975 secondsFour attempts; excludes loading, preflight and post-run checks/captures

4/4 measured scenes and saved images. Structural checks do not grade the visible result.

8.00
—3.61
—
Complete4/4 measured scenes and saved images. Structural checks do not grade the visible result.
Huihui Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Huihui Qwen3.8-27B Q6_K

Huihui Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
All four retained scene-generation captures
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Scenes measured
3/4
Saved model images
4/4
Mean total tokens
472,554.50
Tool errors / calls
5 / 72
Individual scene scores
8, 7, 8, Unavailable
All measurements and denominators (7)
retained attempts
4 attemptsRetained comparison
scored scenes
3 scenesComplete eight-check scores
saved model images
4 imagesValid model-made PNGs
mean total tokens
472,554.5 tokensInput plus generated tokens, including repeated context
tool calls
72 callsSum over four retained attempts
tool errors
5 errorsSum over four retained attempts
mean attempt seconds
967.374 secondsFour attempts; excludes loading, preflight and post-run checks/captures

Score mean covers 3/4 scenes. Run 4 score unavailable after a model-caused crash; its PNG survived. Mean time includes the recorded 45-minute deadline and waiting after the crash. One Windows restart redo is excluded.

7.67
—16.12
—
Partial · scoredScore mean covers 3/4 scenes. Run 4 score unavailable after a model-caused crash; its PNG survived. Mean time includes the recorded 45-minute deadline and waiting after the crash. One Windows restart redo is excluded.
DavidAU Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Q6_K

DavidAU Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
All four retained scene-generation captures
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Scenes measured
4/4
Saved model images
4/4
Mean total tokens
366,088.75
Tool errors / calls
29 / 121
Individual scene scores
6, 8, 7, 8
All measurements and denominators (7)
retained attempts
4 attemptsRetained comparison
scored scenes
4 scenesComplete eight-check scores
saved model images
4 imagesValid model-made PNGs
mean total tokens
366,088.75 tokensInput plus generated tokens, including repeated context
tool calls
121 callsSum over four retained attempts
tool errors
29 errorsSum over four retained attempts
mean attempt seconds
440.14875 secondsFour attempts; excludes loading, preflight and post-run checks/captures

4/4 measured scenes and saved images. Structural checks do not grade the visible result.

7.25
—7.34
—
Complete4/4 measured scenes and saved images. Structural checks do not grade the visible result.

Blender tool calling / Captured 7 October 2026 UTC

Blender Q6 · all 24 retained attempts

Individual attempts with scene scores, saved-image counts, elapsed time and token/tool counts.

Read the source
Highest observed score

8.00 / 8

20 results tied in the full profile
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
Not recorded
Benchmark
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
Thinking
On · native template
MTP
MTP1 requested; runtime behavior not isolated
K / V cache
Q8_0 / Q8_0 requested

23 scenes have complete eight-check scores; all 24 attempts saved a model PNG. Huihui run 4 lost its final scene after saving the image. Its missing score is null. The infrastructure-interrupted attempt is excluded.

24 results

Generation rate not included; elapsed time includes tool and render work · — = not available

Blender Q6 · all 24 retained attempts. Scores are out of 8; Automated structural checks per retained attempt; not visual quality. Time basis: Attempt minutes.
Model & configurationScore / 8Generation tok/sAttempt minutesMemory see basisEvidence
ThinkingCap · run 1On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for ThinkingCap Qwen3.8-27B Q6_K · run 1

ThinkingCap Qwen3.8-27B Q6_K · run 1

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
ThinkingCap-Qwen3.8-27B-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
145,166
Tool errors / calls
1 / 14
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
145,166 tokensThis retained attempt; total tokens include repeated input context
completion tokens
11,364 tokensThis retained attempt; total tokens include repeated input context
tool calls
14 callsThis retained attempt; total tokens include repeated input context
tool errors
1 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—7.23
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
ThinkingCap · run 2On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for ThinkingCap Qwen3.8-27B Q6_K · run 2

ThinkingCap Qwen3.8-27B Q6_K · run 2

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
ThinkingCap-Qwen3.8-27B-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
1,211,499
Tool errors / calls
4 / 27
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
1,211,499 tokensThis retained attempt; total tokens include repeated input context
completion tokens
52,112 tokensThis retained attempt; total tokens include repeated input context
tool calls
27 callsThis retained attempt; total tokens include repeated input context
tool errors
4 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—41.29
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
ThinkingCap · run 3On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for ThinkingCap Qwen3.8-27B Q6_K · run 3

ThinkingCap Qwen3.8-27B Q6_K · run 3

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
ThinkingCap-Qwen3.8-27B-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
249,824
Tool errors / calls
0 / 15
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
249,824 tokensThis retained attempt; total tokens include repeated input context
completion tokens
17,759 tokensThis retained attempt; total tokens include repeated input context
tool calls
15 callsThis retained attempt; total tokens include repeated input context
tool errors
0 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—11.82
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
ThinkingCap · run 4On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for ThinkingCap Qwen3.8-27B Q6_K · run 4

ThinkingCap Qwen3.8-27B Q6_K · run 4

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
ThinkingCap-Qwen3.8-27B-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
576,718
Tool errors / calls
3 / 23
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
576,718 tokensThis retained attempt; total tokens include repeated input context
completion tokens
41,613 tokensThis retained attempt; total tokens include repeated input context
tool calls
23 callsThis retained attempt; total tokens include repeated input context
tool errors
3 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—32.29
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Unsloth · run 1On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K · run 1

Unsloth Qwen3.8-27B UD-Q6_K · run 1

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
375,443
Tool errors / calls
0 / 19
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
375,443 tokensThis retained attempt; total tokens include repeated input context
completion tokens
22,714 tokensThis retained attempt; total tokens include repeated input context
tool calls
19 callsThis retained attempt; total tokens include repeated input context
tool errors
0 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—6.23
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Unsloth · run 2On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K · run 2

Unsloth Qwen3.8-27B UD-Q6_K · run 2

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
282,803
Tool errors / calls
2 / 19
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
282,803 tokensThis retained attempt; total tokens include repeated input context
completion tokens
18,847 tokensThis retained attempt; total tokens include repeated input context
tool calls
19 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—4.86
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Unsloth · run 3On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K · run 3

Unsloth Qwen3.8-27B UD-Q6_K · run 3

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
1,068,754
Tool errors / calls
2 / 32
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
1,068,754 tokensThis retained attempt; total tokens include repeated input context
completion tokens
52,150 tokensThis retained attempt; total tokens include repeated input context
tool calls
32 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—14.30
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Unsloth · run 4On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K · run 4

Unsloth Qwen3.8-27B UD-Q6_K · run 4

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
502,953
Tool errors / calls
2 / 20
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
502,953 tokensThis retained attempt; total tokens include repeated input context
completion tokens
27,536 tokensThis retained attempt; total tokens include repeated input context
tool calls
20 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—6.40
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
DavidAU · run 2On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Q6_K · run 2

DavidAU Qwen3.8-27B Q6_K · run 2

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
169,377
Tool errors / calls
4 / 19
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
169,377 tokensThis retained attempt; total tokens include repeated input context
completion tokens
6,350 tokensThis retained attempt; total tokens include repeated input context
tool calls
19 callsThis retained attempt; total tokens include repeated input context
tool errors
4 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—4.84
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
DavidAU · run 4On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Q6_K · run 4

DavidAU Qwen3.8-27B Q6_K · run 4

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
446,601
Tool errors / calls
8 / 35
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
446,601 tokensThis retained attempt; total tokens include repeated input context
completion tokens
9,363 tokensThis retained attempt; total tokens include repeated input context
tool calls
35 callsThis retained attempt; total tokens include repeated input context
tool errors
8 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—8.44
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Dirk · run 1On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Dirk Qwen3.8-27B UD-Q6_K · run 1

Dirk Qwen3.8-27B UD-Q6_K · run 1

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Dirk-Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
120,117
Tool errors / calls
0 / 15
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
120,117 tokensThis retained attempt; total tokens include repeated input context
completion tokens
9,806 tokensThis retained attempt; total tokens include repeated input context
tool calls
15 callsThis retained attempt; total tokens include repeated input context
tool errors
0 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—2.63
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Dirk · run 2On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Dirk Qwen3.8-27B UD-Q6_K · run 2

Dirk Qwen3.8-27B UD-Q6_K · run 2

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Dirk-Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
424,287
Tool errors / calls
2 / 26
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
424,287 tokensThis retained attempt; total tokens include repeated input context
completion tokens
19,274 tokensThis retained attempt; total tokens include repeated input context
tool calls
26 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—5.95
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Dirk · run 3On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Dirk Qwen3.8-27B UD-Q6_K · run 3

Dirk Qwen3.8-27B UD-Q6_K · run 3

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Dirk-Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
547,339
Tool errors / calls
2 / 32
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
547,339 tokensThis retained attempt; total tokens include repeated input context
completion tokens
18,333 tokensThis retained attempt; total tokens include repeated input context
tool calls
32 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—7.28
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Dirk · run 4On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Dirk Qwen3.8-27B UD-Q6_K · run 4

Dirk Qwen3.8-27B UD-Q6_K · run 4

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Dirk-Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
419,443
Tool errors / calls
1 / 29
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
419,443 tokensThis retained attempt; total tokens include repeated input context
completion tokens
16,936 tokensThis retained attempt; total tokens include repeated input context
tool calls
29 callsThis retained attempt; total tokens include repeated input context
tool errors
1 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—5.47
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Huihui · run 1On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Huihui Qwen3.8-27B Q6_K · run 1

Huihui Qwen3.8-27B Q6_K · run 1

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
746,740
Tool errors / calls
2 / 19
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
746,740 tokensThis retained attempt; total tokens include repeated input context
completion tokens
44,832 tokensThis retained attempt; total tokens include repeated input context
tool calls
19 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—9.96
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Huihui · run 3On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Huihui Qwen3.8-27B Q6_K · run 3

Huihui Qwen3.8-27B Q6_K · run 3

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
374,613
Tool errors / calls
0 / 16
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
374,613 tokensThis retained attempt; total tokens include repeated input context
completion tokens
25,627 tokensThis retained attempt; total tokens include repeated input context
tool calls
16 callsThis retained attempt; total tokens include repeated input context
tool errors
0 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—5.46
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
JonathanColetti · run 1On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Q6_K · run 1

JonathanColetti Qwen3.8-27B Q6_K · run 1

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-Uncensored-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
373,263
Tool errors / calls
2 / 25
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
373,263 tokensThis retained attempt; total tokens include repeated input context
completion tokens
17,690 tokensThis retained attempt; total tokens include repeated input context
tool calls
25 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—5.20
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
JonathanColetti · run 2On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Q6_K · run 2

JonathanColetti Qwen3.8-27B Q6_K · run 2

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-Uncensored-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
118,788
Tool errors / calls
1 / 16
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
118,788 tokensThis retained attempt; total tokens include repeated input context
completion tokens
8,237 tokensThis retained attempt; total tokens include repeated input context
tool calls
16 callsThis retained attempt; total tokens include repeated input context
tool errors
1 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—2.43
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
JonathanColetti · run 3On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Q6_K · run 3

JonathanColetti Qwen3.8-27B Q6_K · run 3

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-Uncensored-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
237,221
Tool errors / calls
2 / 20
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
237,221 tokensThis retained attempt; total tokens include repeated input context
completion tokens
13,333 tokensThis retained attempt; total tokens include repeated input context
tool calls
20 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—3.91
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
JonathanColetti · run 4On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Q6_K · run 4

JonathanColetti Qwen3.8-27B Q6_K · run 4

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-Uncensored-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
171,609
Tool errors / calls
1 / 18
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
171,609 tokensThis retained attempt; total tokens include repeated input context
completion tokens
10,121 tokensThis retained attempt; total tokens include repeated input context
tool calls
18 callsThis retained attempt; total tokens include repeated input context
tool errors
1 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

8.00
—2.89
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
DavidAU · run 3On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Q6_K · run 3

DavidAU Qwen3.8-27B Q6_K · run 3

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
469,619
Tool errors / calls
5 / 35
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
469,619 tokensThis retained attempt; total tokens include repeated input context
completion tokens
9,390 tokensThis retained attempt; total tokens include repeated input context
tool calls
35 callsThis retained attempt; total tokens include repeated input context
tool errors
5 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

7.00
—8.08
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Huihui · run 2On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Huihui Qwen3.8-27B Q6_K · run 2

Huihui Qwen3.8-27B Q6_K · run 2

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
258,549
Tool errors / calls
1 / 17
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
258,549 tokensThis retained attempt; total tokens include repeated input context
completion tokens
18,307 tokensThis retained attempt; total tokens include repeated input context
tool calls
17 callsThis retained attempt; total tokens include repeated input context
tool errors
1 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

7.00
—4.08
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
DavidAU · run 1On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Q6_K · run 1

DavidAU Qwen3.8-27B Q6_K · run 1

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Post-run saved-scene renderer
Blender 5.2.2 LTS, build d13f752e3b9c (2026-09-15); separate from the model attempt
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
378,758
Tool errors / calls
12 / 32
Saved model image
1/1
Post-run scene capture
Available; separate from model render
All measurements and denominators (6)
total tokens
378,758 tokensThis retained attempt; total tokens include repeated input context
completion tokens
10,796 tokensThis retained attempt; total tokens include repeated input context
tool calls
32 callsThis retained attempt; total tokens include repeated input context
tool errors
12 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
1 scenesComplete eight-check score available

Structural score only; a saved image and 8/8 do not establish a visually correct mug.

6.00
—7.97
—
CompleteStructural score only; a saved image and 8/8 do not establish a visually correct mug.
Huihui · run 4On · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Huihui Qwen3.8-27B Q6_K · run 4

Huihui Qwen3.8-27B Q6_K · run 4

Test captured
Date precision
Exact retained model-attempt interval; excludes post-run scene check/capture
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readback; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Application build evidence
LM Studio 0.4.25 Build 1; loaded backend extension, upstream commit and CUDA version remain unrecorded
Blender at model-phase crash
5.2.2, build d13f752e3b9c; native crash log; no post-run saved-scene capture
Benchmark version
Blender contrast-v2 · eight structural checks
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Total tokens
510,316
Tool errors / calls
2 / 20
Saved model image
1/1
Post-run scene capture
Unavailable after crash
All measurements and denominators (6)
total tokens
510,316 tokensThis retained attempt; total tokens include repeated input context
completion tokens
41,005 tokensThis retained attempt; total tokens include repeated input context
tool calls
20 callsThis retained attempt; total tokens include repeated input context
tool errors
2 errorsThis retained attempt; total tokens include repeated input context
saved model images
1 imagesValid model-made PNG
scored scenes
0 scenesComplete eight-check score available

Final scene score unavailable after a model-caused Blender crash. Saved PNG survived. Time includes the 45-minute deadline and post-crash waiting.

—
—45.00
—
UnavailableFinal scene score unavailable after a model-caused Blender crash. Saved PNG survived. Time includes the 45-minute deadline and post-crash waiting.

Blender tool calling / Captured 7 October 2026 UTC

Blender Q6 · Codex editorial ratings

Historical subjective judgments, separate from measured structural scores. The later visual audit identified additional handle defects.

Read the source
Highest historical Codex rating

7.58 / 10

Unsloth Qwen3.8-27B UD-Q6_K
Test captured
Timestamp precision in result details
Application / version
LM Studio 0.4.25 Build 1
Runtime / extension
Not recorded
Benchmark
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
Thinking
On · native template
MTP
MTP1 requested; runtime behavior not isolated
K / V cache
Q8_0 / Q8_0 requested

Post-hoc Codex ratings, not objective measurements or a blinded panel. Historical values are retained with attribution. The 7.6 vs 7.4 display gap does not establish a decisive winner; changing weights changes the order.

6 results

Generation rate not included; elapsed time includes tool and render work · — = not available

Blender Q6 · Codex editorial ratings. Scores are out of 10; Subjective Codex editorial rating; unrounded weighted value. Time basis: Not applicable.
Model & configurationScore / 10Generation tok/sNot applicableMemory see basisEvidence
Unsloth Qwen3.8-27B UD-Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
Underlying scene-generation captures; does not identify the runtime used for post-hoc editorial scoring
Benchmark version
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Visual / workflow / efficiency
7.25 / 9 / 7 (each /10)
Weights
70% visual · 20% workflow · 10% efficiency
Article display
7.6 /10; rounded to one decimal
All measurements and denominators (3)
visual mean
7.25 points / 10Subjective visual average; all four images equally weighted
workflow rating
9 points / 10Subjective workflow assessment
efficiency rating
7 points / 10Comparative judgment informed by time and token use

Historical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

7.58
——
—
Subjective editorialHistorical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.
JonathanColetti Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Q6_K

JonathanColetti Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
Underlying scene-generation captures; does not identify the runtime used for post-hoc editorial scoring
Benchmark version
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-Uncensored-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Visual / workflow / efficiency
6.50 / 9 / 10 (each /10)
Weights
70% visual · 20% workflow · 10% efficiency
Article display
7.4 /10; rounded to one decimal
All measurements and denominators (3)
visual mean
6.5 points / 10Subjective visual average; all four images equally weighted
workflow rating
9 points / 10Subjective workflow assessment
efficiency rating
10 points / 10Comparative judgment informed by time and token use

Historical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

7.35
——
—
Subjective editorialHistorical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.
Dirk Qwen3.8-27B UD-Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Dirk Qwen3.8-27B UD-Q6_K

Dirk Qwen3.8-27B UD-Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
Underlying scene-generation captures; does not identify the runtime used for post-hoc editorial scoring
Benchmark version
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Dirk-Qwen3.8-27B-UD-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Visual / workflow / efficiency
5.75 / 9 / 9 (each /10)
Weights
70% visual · 20% workflow · 10% efficiency
Article display
6.7 /10; rounded to one decimal
All measurements and denominators (3)
visual mean
5.75 points / 10Subjective visual average; all four images equally weighted
workflow rating
9 points / 10Subjective workflow assessment
efficiency rating
9 points / 10Comparative judgment informed by time and token use

Historical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

6.72
——
—
Subjective editorialHistorical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.
ThinkingCap Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for ThinkingCap Qwen3.8-27B Q6_K

ThinkingCap Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
Underlying scene-generation captures; does not identify the runtime used for post-hoc editorial scoring
Benchmark version
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
ThinkingCap-Qwen3.8-27B-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Visual / workflow / efficiency
5.75 / 9 / 2 (each /10)
Weights
70% visual · 20% workflow · 10% efficiency
Article display
6.0 /10; rounded to one decimal
All measurements and denominators (3)
visual mean
5.75 points / 10Subjective visual average; all four images equally weighted
workflow rating
9 points / 10Subjective workflow assessment
efficiency rating
2 points / 10Comparative judgment informed by time and token use

Historical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

6.03
——
—
Subjective editorialHistorical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.
Huihui Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for Huihui Qwen3.8-27B Q6_K

Huihui Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
Underlying scene-generation captures; does not identify the runtime used for post-hoc editorial scoring
Benchmark version
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Huihui-Qwen3.8-27B-abliterated-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Visual / workflow / efficiency
6.50 / 4 / 5 (each /10)
Weights
70% visual · 20% workflow · 10% efficiency
Article display
5.9 /10; rounded to one decimal
All measurements and denominators (3)
visual mean
6.5 points / 10Subjective visual average; all four images equally weighted
workflow rating
4 points / 10Subjective workflow assessment
efficiency rating
5 points / 10Comparative judgment informed by time and token use

Historical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

5.85
——
—
Subjective editorialHistorical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.
DavidAU Qwen3.8-27B Q6_KOn · native template · Q8_0 / Q8_0 requestedCaptured:
Capture, runtime & configuration for DavidAU Qwen3.8-27B Q6_K

DavidAU Qwen3.8-27B Q6_K

Test captured
Date precision
Retained attempt window; excludes the infrastructure-interrupted attempt
Capture started
Capture finished
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
Not recorded
OS / environment
Windows; NVIDIA GeForce RTX 5090 confirmed in the joined model-load readbacks; exact OS build and GPU driver not established
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Requested sampler
Temperature 0.7 · top-p 0.95 · top-k 20 · min-p 0 · repetition penalty 1
Requested load
64K context · Q8_0 K/V · flash attention on · MTP1 requested
Limits
40 tool calls · 45 minutes · stop on context overflow
Tools
BlenderMCP scene/object inspection, Python execution and viewport screenshots
Comparability
Native templates and own-repository vision projectors differ. The complete setups are compared.
Runtime scope
Underlying scene-generation captures; does not identify the runtime used for post-hoc editorial scoring
Benchmark version
Post-hoc Codex assessment · 70% visual / 20% workflow / 10% efficiency
Context capacity
65,536 tokens
MTP
MTP1 requested; runtime behavior not isolated
Tested filename
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K.gguf
Vision feedback
Own-repository projector; screenshot transport verified, image understanding not established
Scope
One mug-building task; does not rank general coding, reasoning or other Blender tasks.
Visual / workflow / efficiency
2.25 / 5 / 7 (each /10)
Weights
70% visual · 20% workflow · 10% efficiency
Article display
3.3 /10; rounded to one decimal
All measurements and denominators (3)
visual mean
2.25 points / 10Subjective visual average; all four images equally weighted
workflow rating
5 points / 10Subjective workflow assessment
efficiency rating
7 points / 10Comparative judgment informed by time and token use

Historical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

3.27
——
—
Subjective editorialHistorical post-hoc Codex judgment. See the article for later handle-defect corrections; no numerical ratings were silently revised.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · QuantBench

mean of 50 normalized per-question rubric values, points/100

Read the source
Highest observed score

64.43 / 100

ISTA
Test captured
2026-10-10 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
QuantBench
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · QuantBench. Scores are out of 100; mean of 50 normalized per-question rubric values, points/100. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
32768
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T20:21:17.2996256Z to 2026-10-10T20:29:30.0420554Z
Wall measurement methods
{"timestampDifference": 50}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (41)
requests
50 responsesOriginal complete Off suite
normalized score
64.433463 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
63 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
75.522024 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
49.95328 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
55.19201 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
78.5 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
471.560586 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
6.312227 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
65.7212 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
404.5678 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
55,585 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
137.393535 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
137.114 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
0 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
Unavailable Original complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
472.665265 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method timestamp difference
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
145 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.434324 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.038609 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
66.55402 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
107.516575 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.183594 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
9,700 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

64.43
137.397.86
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
32768
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
false
Representative native maximumMtpDraftTokens
0
Representative native configuredPrefill
"auto"
Representative native configuredSpecWindow
2
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T21:00:02.5679491Z to 2026-10-10T21:23:15.6729196Z
Wall measurement methods
{"timestampDifference": 50}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (41)
requests
50 responsesOriginal complete Off suite
normalized score
61.552429 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
58 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
64.992857 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
50.906916 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
60.362373 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
73.5 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
1,365.03922 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
16.189245 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
174.0134 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
1,189.7632 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
64,847 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
54.504123 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
55.756 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
0 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
Unavailable Original complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
1,366.203449 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method timestamp difference
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
408 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.441222 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.943163 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
46.799942 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
78.607334 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.608398 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
14,702 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

61.55
54.5022.75
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
32768
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T20:10:45.7177705Z to 2026-10-10T20:17:03.7444947Z
Wall measurement methods
{"timestampDifference": 50}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (41)
requests
50 responsesOriginal complete Off suite
normalized score
60.246708 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
43 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
72.843155 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
46.538199 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
55.852185 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
83 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
347.433531 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
4.548512 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
72.7538 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
273.5282 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
48,864 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
178.643372 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
178.81 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
0 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
Unavailable Original complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
348.579556 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method timestamp difference
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
113 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.379837 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.621653 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
72.459652 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
113.275581 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.143555 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
10,150 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

60.25
178.645.79
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
32768
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
1
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T20:35:17.4134901Z to 2026-10-10T20:46:12.9996066Z
Wall measurement methods
{"timestampDifference": 50}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (41)
requests
50 responsesOriginal complete Off suite
normalized score
58.313312 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
60.5 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
54.541468 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
43.280157 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
59.744936 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
73.5 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
617.91784 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
7.772687 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
101.173 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
515.6251 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
57,309 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
111.144706 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
113.56 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
0 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
Unavailable Original complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
619.05656 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method timestamp difference
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
193 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.439387 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.382659 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
41.408524 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
99.648323 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.285156 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
8,950 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

58.31
111.1410.30
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Prism llama.cpp"
Representative native engineBuild
"b10709-9a9394a89"
Representative native contextTokens
32768
Representative native kvCacheK
"q8_0"
Representative native kvCacheV
"q8_0"
Representative native allSupportedGpuLayersRequested
true
Representative native mtpEnabled
false
Representative native maximumMtpDraftTokens
0
Representative native flashAttentionRequested
true
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:35:41.431479+00:00 to 2026-10-11T12:55:28.286451+00:00
Wall measurement methods
{"recordedMonotonic": 50}
All measurements and denominators (38)
requests
50 responsesOriginal complete Off suite
normalized score
57.614207 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
50.5 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
48.215079 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
48.656857 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
62.699098 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
78 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
1,181.195297 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
10.4776 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
24.561738 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
1,149.740607 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
73,333 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
63.782213 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
64.029645 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.617361 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
1,181.881021 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
576 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.061998 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.138656 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.176498 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
121.293491 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.170898 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.61
63.7819.69
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
32768
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T20:01:03.1865267Z to 2026-10-10T20:05:51.4053326Z
Wall measurement methods
{"timestampDifference": 50}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (41)
requests
50 responsesOriginal complete Off suite
normalized score
55.514834 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
47 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
52.200099 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
44.384063 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
51.490009 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
82.5 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
275.664645 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
3.32837 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
36.0111 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
238.1257 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
46,221 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
194.103366 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
195.844 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
0 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
Unavailable Original complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
277.058043 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method timestamp difference
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
87 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.302977 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.176377 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.799217 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
129.970631 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.101563 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
9,650 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

55.51
194.104.59
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[6400, 12800, 19200, 24576, 29276, 29579, 29583, 29814, 29877, 29884, 29936, 29965, 29971, 30000, 30009, 30027, 30131, 30225, 30226, 30239, 30242, 30298, 30342, 30385, 30471, 30498, 30536, 30729, 30731, 30819, 30822, 30835, 30836]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Prism llama.cpp"
Representative native engineBuild
"b10709-9a9394a89"
Representative native contextTokens
32768
Representative native kvCacheK
"q8_0"
Representative native kvCacheV
"q8_0"
Representative native allSupportedGpuLayersRequested
true
Representative native mtpEnabled
false
Representative native maximumMtpDraftTokens
0
Representative native flashAttentionRequested
true
Benchmark version
QuantBench
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T11:11:46.904426+00:00 to 2026-10-11T11:42:07.915066+00:00
Wall measurement methods
{"recordedMonotonic": 50}
All measurements and denominators (38)
requests
50 responsesOriginal complete Off suite
normalized score
51.622222 points_per_100Full Off suite. mean of per-question normalized rubric points
normalized score denominator
50 countFull Off suite
normalized score by tier extreme
45.5 points_per_100Full Off suite
normalized score by tier extreme denominator
10 countFull Off suite
normalized score by tier extreme plus
44.277778 points_per_100Full Off suite
normalized score by tier extreme plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus
43.120833 points_per_100Full Off suite
normalized score by tier extreme plus plus denominator
10 countFull Off suite
normalized score by tier extreme plus plus plus
45.7125 points_per_100Full Off suite
normalized score by tier extreme plus plus plus denominator
10 countFull Off suite
normalized score by tier original
79.5 points_per_100Full Off suite
normalized score by tier original denominator
10 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
1,816.898251 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
8.607038 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
22.691169 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
1,787.105386 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
137,430 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
76.900893 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
77.684751 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
50 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.602917 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
340 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
2,468 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
1,817.666513 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
50 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
883 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.061993 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.155458 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
86.840939 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
124.876369 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.604492 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

51.62
76.9030.28
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Legacy96K

tier means weighted Classic short .3, Classic long .2, Reasoning short .5

Read the source
Highest observed score

100.00 / 100

Flash-Next Unsloth
Test captured
2026-10-10 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Legacy96K
Context capacity
98,304 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Legacy96K. Scores are out of 100; tier means weighted Classic short .3, Classic long .2, Reasoning short .5. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
98304
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
false
Representative native maximumMtpDraftTokens
0
Representative native configuredPrefill
"auto"
Representative native configuredSpecWindow
2
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T22:47:15.0412862Z to 2026-10-10T22:55:35.1367720Z
Wall measurement methods
{"recordedMonotonic": 9}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (46)
requests
9 responsesOriginal complete Off suite
score
100 points_per_100Full Off suite
tier scores classic short
100 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
100 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
100 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
470.36202 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
54.112486 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
326.5274 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
143.1798 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
10,291 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
71.874664 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
74.644444 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
35.545749 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
470.526029 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
148 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.409485 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.594551 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
44.797695 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
76.830532 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.625 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
10,665 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

100.00
71.877.84
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T11:43:06.167779+00:00 to 2026-10-11T11:49:55.048383+00:00
Wall measurement methods
{"recordedMonotonic": 9}
All measurements and denominators (43)
requests
9 responsesOriginal complete Off suite
score
100 points_per_100Full Off suite
tier scores classic short
100 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
100 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
100 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
404.872755 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
45.907736 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
235.655719 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
163.518933 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
10,221 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
62.506523 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
62.706108 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
24.604164 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
404.992886 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
199 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.061893 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.138489 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.299988 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
123.640617 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
11.198242 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

100.00
62.516.75
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:56:37.489626+00:00 to 2026-10-11T13:04:14.038967+00:00
Wall measurement methods
{"recordedMonotonic": 9}
All measurements and denominators (43)
requests
9 responsesOriginal complete Off suite
score
99.136667 points_per_100Full Off suite
tier scores classic short
99.9 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
100 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
98.333333 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
452.118617 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
51.33325 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
253.740096 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
192.413398 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
10,228 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
53.156382 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
53.271882 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
26.550011 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
452.237427 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
222 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062315 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.107533 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.761974 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
120.275406 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
6.766602 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

99.14
53.167.54
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
98304
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T22:07:38.9622672Z to 2026-10-10T22:20:12.4593625Z
Wall measurement methods
{"recordedMonotonic": 9}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (46)
requests
9 responsesOriginal complete Off suite
score
99.016667 points_per_100Full Off suite
tier scores classic short
99.5 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
100 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
98.333333 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
727.671075 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
78.927786 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
676.2003 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
50.7843 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
10,294 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
202.700441 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
210.588889 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
72.732916 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
727.77667 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
229 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.273838 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.994389 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
77.687557 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
108.677658 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.178711 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
2,106 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

99.02
202.7012.13
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
98304
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T22:20:36.0999609Z to 2026-10-10T22:32:05.3950551Z
Wall measurement methods
{"recordedMonotonic": 9}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (46)
requests
9 responsesOriginal complete Off suite
score
97.606667 points_per_100Full Off suite
tier scores classic short
94.8 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
100 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
98.333333 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
660.993399 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
67.256323 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
580.9049 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
79.4203 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
13,063 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
164.479359 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
186.611111 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
59.85428 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
661.130815 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
210 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.256529 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.868991 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
70.572144 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
101.287609 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.412109 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
1,746 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

97.61
164.4811.02
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
98304
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
4
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T21:59:16.0932395Z to 2026-10-10T22:07:17.6011572Z
Wall measurement methods
{"recordedMonotonic": 9}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (46)
requests
9 responsesOriginal complete Off suite
score
97.493333 points_per_100Full Off suite
tier scores classic short
97.2 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
100 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
96.666667 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
464.505232 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
47.942786 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
400.2802 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
63.4564 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
13,181 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
207.717425 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
206.166667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
41.5429 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
464.658299 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
150 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.210491 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.599798 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
94.808849 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.098759 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.335938 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
1,728 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

97.49
207.727.74
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
98304
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Representative native runtime
"Strata"
Representative native version
"0.1.40.1"
Representative native engineBuild
"Strata 0.1.40"
Representative native contextTokens
98304
Representative native residentExpertBudgetGiB
60
Representative native automaticGpuExpertCache
true
Representative native vramReserveGiB
3
Representative native kvCache
"int8"
Representative native cpuPoolWorkers
16
Representative native mtpEnabled
true
Representative native maximumMtpDraftTokens
2
Representative native configuredPrefill
"512"
Representative native configuredSpecWindow
3
Representative native adaptiveSwapCount
96
Representative native adaptiveEveryWindows
1
Representative native sampling
{"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Legacy96K
Context capacity
98,304 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T22:32:24.3893215Z to 2026-10-10T22:46:56.9432175Z
Wall measurement methods
{"recordedMonotonic": 9}
Expert file I/O scope
Zero decode expert reads does not imply zero whole-request storage activity. Engine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.
All measurements and denominators (46)
requests
9 responsesOriginal complete Off suite
score
82.833333 points_per_100Full Off suite
tier scores classic short
100 points_per_100Full Off suite
tier scores classic short denominator
5 countFull Off suite
tier scores classic short weight
0.3 weightFull Off suite
tier scores classic long 96 k
97.5 points_per_100Full Off suite
tier scores classic long 96 k denominator
1 countFull Off suite
tier scores classic long 96 k weight
0.2 weightFull Off suite
tier scores reasoning short
66.666667 points_per_100Full Off suite
tier scores reasoning short denominator
3 countFull Off suite
tier scores reasoning short weight
0.5 weightFull Off suite
retrieval records
780 countFull Off suite
input tokens by tier classic short minimum
59,236 tokensFull Off suite
input tokens by tier classic short maximum
59,343 tokensFull Off suite
input tokens by tier classic long 96 k minimum
91,450 tokensFull Off suite
input tokens by tier classic long 96 k maximum
91,450 tokensFull Off suite
input tokens by tier reasoning short minimum
58,582 tokensFull Off suite
input tokens by tier reasoning short maximum
58,603 tokensFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
838.890508 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
88.469531 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
769.5518 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
68.6183 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
10,204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
148.706686 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
156.744444 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
9 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
80.281672 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
58,582 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
91,450 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
839.035309 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
9 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
267 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.253762 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.194954 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
64.371956 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
95.204681 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.40332 GiBsampled whole host free memory; not model allocation
native decode file blobs sum
0 file blobsNative decode counters only
native decode file mb
0 MBNative decode counters only
whole run cumulative expert file blobs last
1,602 file blobsEngine total since resident copy, includes activity outside decode; file-backed access is not proof of physical SSD reads.

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

82.83
148.7113.98
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Compass3

unweighted correct/questions and independently reported tier-weighted correct points/possible points; primary column is tier-weighted accuracy

Read the source
Highest observed score

99.50 / 100

Flash-Next Unsloth
Test captured
2026-10-10 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Compass3
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Compass3. Scores are out of 100; unweighted correct/questions and independently reported tier-weighted correct points/possible points; primary column is tier-weighted accuracy. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T23:09:40.1548623Z to 2026-10-10T23:13:39.5700463Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
99.333333 percentFull Off suite
accuracy numerator
298 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
99.5 percentFull Off suite
tier weighted accuracy numerator
597 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
99 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
100 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
99 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
204.384534 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.644204 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
164.4984 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
34.1206 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,083 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
31.740356 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
35.087 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.531854 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
211.676105 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
70 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.47244 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.666047 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
46.715065 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
78.126431 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.673828 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

99.50
31.743.41
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T11:50:06.147855+00:00 to 2026-10-11T11:51:18.641735+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
99.666667 percentFull Off suite
accuracy numerator
299 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
99.5 percentFull Off suite
tier weighted accuracy numerator
597 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
100 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
99 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
100 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
66.276085 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.218623 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
47.780777 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
11.941199 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,054 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
88.265843 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
60.730764 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.183058 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
69.527059 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
36 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.064851 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.123502 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
94.274258 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
133.044422 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.616211 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

99.50
88.271.10
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T22:59:31.0591416Z to 2026-10-10T23:01:32.7020465Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
99.333333 percentFull Off suite
accuracy numerator
298 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
99.166667 percentFull Off suite
tier weighted accuracy numerator
595 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
100 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
99 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
99 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
91.551075 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.280619 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
72.373 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
13.1186 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,081 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
82.402086 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
93.085333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.246624 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
98.567926 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
37 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.361489 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.66405 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
79.314663 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
110.078472 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.474609 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

99.17
82.401.53
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:04:29.373794+00:00 to 2026-10-11T13:05:47.831677+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
99.333333 percentFull Off suite
accuracy numerator
298 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
99 percentFull Off suite
tier weighted accuracy numerator
594 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
100 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
98 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
100 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
69.151301 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.227594 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
48.168861 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
15.00374 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,070 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
71.315552 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
49.509272 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.180558 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
72.434897 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
39 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062036 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.079357 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
94.532978 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
129.409496 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.186523 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

99.00
71.321.15
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T23:05:56.1204666Z to 2026-10-10T23:08:29.0573614Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
98.666667 percentFull Off suite
accuracy numerator
296 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
98.833333 percentFull Off suite
tier weighted accuracy numerator
593 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
99 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
100 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
97 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
122.999734 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.400648 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
95.488 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
21.7322 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,086 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
49.971931 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
52.301333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.336952 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
130.147439 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
46 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.417591 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.504681 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
66.95652 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
98.705212 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.460938 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

98.83
49.972.05
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T23:02:36.9686964Z to 2026-10-10T23:04:53.0398806Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
98 percentFull Off suite
accuracy numerator
294 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
97.833333 percentFull Off suite
tier weighted accuracy numerator
587 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
99 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
98 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
97 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
104.495338 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.309222 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
82.5119 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
15.832 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,060 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
66.953007 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
77.494667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.268793 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
111.55088 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
41 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.387277 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.70464 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
70.957832 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
101.643085 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.46875 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

97.83
66.951.74
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-10T22:56:42.6754876Z to 2026-10-10T22:58:30.3248769Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
85.333333 percentFull Off suite
accuracy numerator
256 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
81.833333 percentFull Off suite
tier weighted accuracy numerator
491 pointsFull Off suite
tier weighted accuracy denominator
600 pointsFull Off suite
correct by tier easy correct
97 countFull Off suite
correct by tier easy questions
100 countFull Off suite
correct by tier easy weight
1 weightFull Off suite
correct by tier hard correct
76 countFull Off suite
correct by tier hard questions
100 countFull Off suite
correct by tier hard weight
3 weightFull Off suite
correct by tier medium correct
83 countFull Off suite
correct by tier medium questions
100 countFull Off suite
correct by tier medium weight
2 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
84.73299 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.277898 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
69.6448 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
8.2617 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,009 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
122.129828 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
124.618 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.259376 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
55 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
79 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
91.958072 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
34 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.242906 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.474246 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
96.249508 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
128.280319 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.46875 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

81.83
122.131.41
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Compass3X

unweighted correct/questions and independently reported tier-weighted correct points/possible points; primary column is tier-weighted accuracy

Read the source
Highest observed score

95.79 / 100

Flash-Next Unsloth
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Compass3X
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Compass3X. Scores are out of 100; unweighted correct/questions and independently reported tier-weighted correct points/possible points; primary column is tier-weighted accuracy. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T01:49:15.8856972Z to 2026-10-11T01:53:45.5644502Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
96.666667 percentFull Off suite
accuracy numerator
290 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
95.789474 percentFull Off suite
tier weighted accuracy numerator
1,365 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
100 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
100 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
90 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
234.337127 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.745639 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
185.471 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
42.6592 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,404 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
32.91201 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
36.147 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.627448 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
241.489934 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
80 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.410193 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.139028 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
45.897488 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
77.503063 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.666992 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

95.79
32.913.91
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T01:38:47.9678243Z to 2026-10-11T01:40:54.9473490Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
95.666667 percentFull Off suite
accuracy numerator
287 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
94.684211 percentFull Off suite
tier weighted accuracy numerator
1,349.25 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
99 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
100 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
88 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
97.812371 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.318681 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
76.8659 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
14.1557 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,412 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
99.747805 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
105.900667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.273838 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
105.131692 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
40 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.243977 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.465271 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
80.482891 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
112.55069 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.46875 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

94.68
99.751.63
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T01:42:00.9463431Z to 2026-10-11T01:44:20.7044515Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
93.666667 percentFull Off suite
accuracy numerator
281 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
92.473684 percentFull Off suite
tier weighted accuracy numerator
1,317.75 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
99 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
97 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
85 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
108.112875 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.346581 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
83.9446 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
17.6504 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,368 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
77.505326 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
84.815333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.30532 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
115.280004 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
43 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.327361 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.534447 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
71.819916 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
103.161804 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.466797 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

92.47
77.511.80
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T11:51:38.018620+00:00 to 2026-10-11T11:52:56.508728+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
93 percentFull Off suite
accuracy numerator
279 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
91.473684 percentFull Off suite
tier weighted accuracy numerator
1,303.5 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
100 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
97 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
82 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
70.343949 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.228673 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
47.609404 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
16.039116 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,372 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
85.540874 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
64.635045 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.179224 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
73.562322 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
39 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062346 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.107812 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
92.94389 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
131.659164 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.616211 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

91.47
85.541.17
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:06:07.691972+00:00 to 2026-10-11T13:07:30.352810+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
92 percentFull Off suite
accuracy numerator
276 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
90.473684 percentFull Off suite
tier weighted accuracy numerator
1,289.25 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
99 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
96 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
81 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
73.765311 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.241196 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
47.977855 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
19.478477 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,369 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
70.282702 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
53.176889 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.181197 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
77.035763 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
41 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062239 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.09373 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
93.035233 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
127.925159 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.186523 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

90.47
70.281.23
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T01:45:20.5063857Z to 2026-10-11T01:48:04.3985980Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
90.666667 percentFull Off suite
accuracy numerator
272 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
88.947368 percentFull Off suite
tier weighted accuracy numerator
1,267.5 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
98 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
96 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
78 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
131.639893 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.428084 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
101.1819 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
24.5217 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,376 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
56.113565 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
58.233333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.361237 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
138.617847 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
50 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.353648 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.675983 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
66.160461 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
97.751095 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.458984 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

88.95
56.112.19
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T01:36:00.3759650Z to 2026-10-11T01:37:50.4067608Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (41)
requests
300 responsesOriginal complete Off suite
accuracy
59 percentFull Off suite
accuracy numerator
177 countFull Off suite
accuracy denominator
300 countFull Off suite
tier weighted accuracy
56.631579 percentFull Off suite
tier weighted accuracy numerator
807 pointsFull Off suite
tier weighted accuracy denominator
1,425 pointsFull Off suite
correct by tier x1 correct
68 countFull Off suite
correct by tier x1 questions
100 countFull Off suite
correct by tier x1 weight
3.75 weightFull Off suite
correct by tier x2 correct
68 countFull Off suite
correct by tier x2 questions
100 countFull Off suite
correct by tier x2 weight
4.5 weightFull Off suite
correct by tier x3 correct
41 countFull Off suite
correct by tier x3 questions
100 countFull Off suite
correct by tier x3 weight
6 weightFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
85.006241 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.281634 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
69.0158 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
9.4621 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,167 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
123.334144 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
123.620333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.260075 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
56 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
81 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
92.422216 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
35 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.216868 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.413056 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
95.979527 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
127.413174 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.464844 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.63
123.331.42
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Evidence-to-Action

324 components per model: value correctness, exact citation-set correctness, and their conjunction; primary column is grounded accuracy

Read the source
Highest observed score

66.67 / 100

Flash-Next Unsloth
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Evidence-to-Action
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Evidence-to-Action. Scores are out of 100; 324 components per model: value correctness, exact citation-set correctness, and their conjunction; primary column is grounded accuracy. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T02:50:15.0361497Z to 2026-10-11T02:57:53.6194141Z
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
74.074074 percentFull Off suite
semantic accuracy numerator
240 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
81.790123 percentFull Off suite
citation accuracy numerator
265 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
66.666667 percentFull Off suite
grounded accuracy numerator
216 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
89.285714 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
75 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
90.47619 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
76 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
86.904762 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
73 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
73.611111 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
53 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
84.722222 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
61 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
66.666667 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
48 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
39.285714 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
33 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
63.095238 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
53 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
23.809524 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
20 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
94.047619 percentFull Off suite
components by capability record resolution semantic accuracy numerator
79 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
89.285714 percentFull Off suite
components by capability record resolution citation accuracy numerator
75 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
89.285714 percentFull Off suite
components by capability record resolution grounded accuracy numerator
75 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
74.691358 percentFull Off suite
components by condition clean semantic accuracy numerator
121 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
83.950617 percentFull Off suite
components by condition clean citation accuracy numerator
136 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
67.283951 percentFull Off suite
components by condition clean grounded accuracy numerator
109 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
73.45679 percentFull Off suite
components by condition hostile note semantic accuracy numerator
119 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
79.62963 percentFull Off suite
components by condition hostile note citation accuracy numerator
129 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
66.049383 percentFull Off suite
components by condition hostile note grounded accuracy numerator
107 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
428.647604 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
23.627421 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
167.546 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
260.3964 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,531 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
63.483981 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
63.666667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
9.330749 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
429.052692 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
135 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.427773 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.460264 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
44.355946 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
77.939152 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.657227 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

66.67
63.487.14
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T02:27:16.3599556Z to 2026-10-11T02:32:51.1119325Z
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
75.308642 percentFull Off suite
semantic accuracy numerator
244 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
76.234568 percentFull Off suite
citation accuracy numerator
247 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
63.580247 percentFull Off suite
grounded accuracy numerator
206 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
86.904762 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
73 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
80.952381 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
68 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
76.190476 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
64 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
75 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
54 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
83.333333 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
60 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
63.888889 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
46 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
41.666667 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
35 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
53.571429 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
45 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
26.190476 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
22 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
97.619048 percentFull Off suite
components by capability record resolution semantic accuracy numerator
82 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
88.095238 percentFull Off suite
components by capability record resolution citation accuracy numerator
74 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
88.095238 percentFull Off suite
components by capability record resolution grounded accuracy numerator
74 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
75.925926 percentFull Off suite
components by condition clean semantic accuracy numerator
123 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
80.246914 percentFull Off suite
components by condition clean citation accuracy numerator
130 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
65.432099 percentFull Off suite
components by condition clean grounded accuracy numerator
106 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
74.691358 percentFull Off suite
components by condition hostile note semantic accuracy numerator
121 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
72.222222 percentFull Off suite
components by condition hostile note citation accuracy numerator
117 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
61.728395 percentFull Off suite
components by condition hostile note grounded accuracy numerator
100 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
312.929917 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
16.74037 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
243.9495 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
68.2009 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,232 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
238.002724 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
243.011111 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
13.216653 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
313.367189 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
104 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.229088 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.519643 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
77.847137 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
111.164494 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.469727 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

63.58
238.005.22
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T02:33:52.7240553Z to 2026-10-11T02:40:21.4570883Z
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
71.296296 percentFull Off suite
semantic accuracy numerator
231 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
73.45679 percentFull Off suite
citation accuracy numerator
238 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
60.493827 percentFull Off suite
grounded accuracy numerator
196 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
84.52381 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
71 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
82.142857 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
69 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
76.190476 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
64 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
68.055556 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
49 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
75 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
54 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
61.111111 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
44 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
39.285714 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
33 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
55.952381 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
47 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
23.809524 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
20 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
92.857143 percentFull Off suite
components by capability record resolution semantic accuracy numerator
78 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
80.952381 percentFull Off suite
components by capability record resolution citation accuracy numerator
68 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
80.952381 percentFull Off suite
components by capability record resolution grounded accuracy numerator
68 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
72.222222 percentFull Off suite
components by condition clean semantic accuracy numerator
117 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
77.160494 percentFull Off suite
components by condition clean citation accuracy numerator
125 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
62.345679 percentFull Off suite
components by condition clean grounded accuracy numerator
101 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
70.37037 percentFull Off suite
components by condition hostile note semantic accuracy numerator
114 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
69.753086 percentFull Off suite
components by condition hostile note citation accuracy numerator
113 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
58.641975 percentFull Off suite
components by condition hostile note grounded accuracy numerator
95 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
363.564125 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
19.942582 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
270.9928 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
91.7402 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,337 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
178.078966 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
183.627778 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
14.75713 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
363.935123 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
118 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.288186 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.068921 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
68.910923 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
101.489025 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.454102 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

60.49
178.086.06
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:07:50.462897+00:00 to 2026-10-11T13:13:27.101262+00:00
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
75.617284 percentFull Off suite
semantic accuracy numerator
245 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
74.691358 percentFull Off suite
citation accuracy numerator
242 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
58.024691 percentFull Off suite
grounded accuracy numerator
188 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
80.952381 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
68 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
89.285714 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
75 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
75 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
63 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
80.555556 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
58 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
79.166667 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
57 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
61.111111 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
44 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
44.047619 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
37 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
59.52381 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
50 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
25 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
21 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
97.619048 percentFull Off suite
components by capability record resolution semantic accuracy numerator
82 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
71.428571 percentFull Off suite
components by capability record resolution citation accuracy numerator
60 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
71.428571 percentFull Off suite
components by capability record resolution grounded accuracy numerator
60 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
75.925926 percentFull Off suite
components by condition clean semantic accuracy numerator
123 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
72.222222 percentFull Off suite
components by condition clean citation accuracy numerator
117 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
56.17284 percentFull Off suite
components by condition clean grounded accuracy numerator
91 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
75.308642 percentFull Off suite
components by condition hostile note semantic accuracy numerator
122 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
77.160494 percentFull Off suite
components by condition hostile note citation accuracy numerator
125 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
59.876543 percentFull Off suite
components by condition hostile note grounded accuracy numerator
97 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
331.108835 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
18.390991 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
76.593516 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
250.158421 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,304 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
65.1747 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
65.102611 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
4.407294 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
331.346046 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
164 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.061851 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.134888 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
88.103401 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
122.591167 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.174805 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

58.02
65.175.52
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T02:22:15.6504314Z to 2026-10-11T02:26:21.2735020Z
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
68.209877 percentFull Off suite
semantic accuracy numerator
221 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
69.753086 percentFull Off suite
citation accuracy numerator
226 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
56.790123 percentFull Off suite
grounded accuracy numerator
184 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
82.142857 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
69 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
75 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
63 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
70.238095 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
59 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
62.5 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
45 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
72.222222 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
52 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
54.166667 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
39 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
36.904762 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
31 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
54.761905 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
46 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
26.190476 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
22 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
90.47619 percentFull Off suite
components by capability record resolution semantic accuracy numerator
76 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
77.380952 percentFull Off suite
components by capability record resolution citation accuracy numerator
65 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
76.190476 percentFull Off suite
components by capability record resolution grounded accuracy numerator
64 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
70.37037 percentFull Off suite
components by condition clean semantic accuracy numerator
114 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
74.074074 percentFull Off suite
components by condition clean citation accuracy numerator
120 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
59.876543 percentFull Off suite
components by condition clean grounded accuracy numerator
97 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
66.049383 percentFull Off suite
components by condition hostile note semantic accuracy numerator
107 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
65.432099 percentFull Off suite
components by condition hostile note citation accuracy numerator
106 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
53.703704 percentFull Off suite
components by condition hostile note grounded accuracy numerator
87 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
227.415612 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
12.51213 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
156.6294 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
69.9436 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,326 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
233.416639 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
233.666667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
8.464343 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
227.835304 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
77 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.225523 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.382021 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
94.252346 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
128.093468 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.483398 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.79
233.423.79
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T02:41:21.3324865Z to 2026-10-11T02:49:02.2759282Z
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
76.54321 percentFull Off suite
semantic accuracy numerator
248 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
56.790123 percentFull Off suite
citation accuracy numerator
184 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
53.08642 percentFull Off suite
grounded accuracy numerator
172 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
90.47619 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
76 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
58.333333 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
49 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
55.952381 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
47 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
77.777778 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
56 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
70.833333 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
51 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
59.722222 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
43 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
45.238095 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
38 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
28.571429 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
24 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
26.190476 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
22 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
92.857143 percentFull Off suite
components by capability record resolution semantic accuracy numerator
78 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
71.428571 percentFull Off suite
components by capability record resolution citation accuracy numerator
60 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
71.428571 percentFull Off suite
components by capability record resolution grounded accuracy numerator
60 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
80.246914 percentFull Off suite
components by condition clean semantic accuracy numerator
130 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
61.728395 percentFull Off suite
components by condition clean citation accuracy numerator
100 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
58.024691 percentFull Off suite
components by condition clean grounded accuracy numerator
94 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
72.839506 percentFull Off suite
components by condition hostile note semantic accuracy numerator
118 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
51.851852 percentFull Off suite
components by condition hostile note citation accuracy numerator
84 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
48.148148 percentFull Off suite
components by condition hostile note grounded accuracy numerator
78 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
436.181393 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
23.505637 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
329.5721 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
105.7904 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,068 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
151.885237 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
155.133333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
17.977021 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
436.633372 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
141 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.257787 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.809845 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
63.586113 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
96.98814 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.47168 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

53.09
151.897.27
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Evidence-to-Action
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T11:53:19.421502+00:00 to 2026-10-11T11:58:00.257432+00:00
Wall measurement methods
{"recordedMonotonic": 18}
All measurements and denominators (93)
requests
18 responsesOriginal complete Off suite
semantic accuracy
74.691358 percentFull Off suite
semantic accuracy numerator
242 countFull Off suite
semantic accuracy denominator
324 countFull Off suite
citation accuracy
68.209877 percentFull Off suite
citation accuracy numerator
221 countFull Off suite
citation accuracy denominator
324 countFull Off suite
grounded accuracy
53.08642 percentFull Off suite
grounded accuracy numerator
172 countFull Off suite
grounded accuracy denominator
324 countFull Off suite
json syntax valid
18 countFull Off suite
json syntax valid denominator
18 countFull Off suite
schema valid
18 countFull Off suite
schema valid denominator
18 countFull Off suite
components by capability decision accuracy semantic accuracy
77.380952 percentFull Off suite
components by capability decision accuracy semantic accuracy numerator
65 countFull Off suite
components by capability decision accuracy semantic accuracy denominator
84 countFull Off suite
components by capability decision accuracy citation accuracy
82.142857 percentFull Off suite
components by capability decision accuracy citation accuracy numerator
69 countFull Off suite
components by capability decision accuracy citation accuracy denominator
84 countFull Off suite
components by capability decision accuracy grounded accuracy
65.47619 percentFull Off suite
components by capability decision accuracy grounded accuracy numerator
55 countFull Off suite
components by capability decision accuracy grounded accuracy denominator
84 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy
80.555556 percentFull Off suite
components by capability missing and conflicting evidence semantic accuracy numerator
58 countFull Off suite
components by capability missing and conflicting evidence semantic accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence citation accuracy
73.611111 percentFull Off suite
components by capability missing and conflicting evidence citation accuracy numerator
53 countFull Off suite
components by capability missing and conflicting evidence citation accuracy denominator
72 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy
59.722222 percentFull Off suite
components by capability missing and conflicting evidence grounded accuracy numerator
43 countFull Off suite
components by capability missing and conflicting evidence grounded accuracy denominator
72 countFull Off suite
components by capability numerical accuracy semantic accuracy
44.047619 percentFull Off suite
components by capability numerical accuracy semantic accuracy numerator
37 countFull Off suite
components by capability numerical accuracy semantic accuracy denominator
84 countFull Off suite
components by capability numerical accuracy citation accuracy
52.380952 percentFull Off suite
components by capability numerical accuracy citation accuracy numerator
44 countFull Off suite
components by capability numerical accuracy citation accuracy denominator
84 countFull Off suite
components by capability numerical accuracy grounded accuracy
22.619048 percentFull Off suite
components by capability numerical accuracy grounded accuracy numerator
19 countFull Off suite
components by capability numerical accuracy grounded accuracy denominator
84 countFull Off suite
components by capability record resolution semantic accuracy
97.619048 percentFull Off suite
components by capability record resolution semantic accuracy numerator
82 countFull Off suite
components by capability record resolution semantic accuracy denominator
84 countFull Off suite
components by capability record resolution citation accuracy
65.47619 percentFull Off suite
components by capability record resolution citation accuracy numerator
55 countFull Off suite
components by capability record resolution citation accuracy denominator
84 countFull Off suite
components by capability record resolution grounded accuracy
65.47619 percentFull Off suite
components by capability record resolution grounded accuracy numerator
55 countFull Off suite
components by capability record resolution grounded accuracy denominator
84 countFull Off suite
components by condition clean semantic accuracy
73.45679 percentFull Off suite
components by condition clean semantic accuracy numerator
119 countFull Off suite
components by condition clean semantic accuracy denominator
162 countFull Off suite
components by condition clean citation accuracy
64.814815 percentFull Off suite
components by condition clean citation accuracy numerator
105 countFull Off suite
components by condition clean citation accuracy denominator
162 countFull Off suite
components by condition clean grounded accuracy
53.08642 percentFull Off suite
components by condition clean grounded accuracy numerator
86 countFull Off suite
components by condition clean grounded accuracy denominator
162 countFull Off suite
components by condition hostile note semantic accuracy
75.925926 percentFull Off suite
components by condition hostile note semantic accuracy numerator
123 countFull Off suite
components by condition hostile note semantic accuracy denominator
162 countFull Off suite
components by condition hostile note citation accuracy
71.604938 percentFull Off suite
components by condition hostile note citation accuracy numerator
116 countFull Off suite
components by condition hostile note citation accuracy denominator
162 countFull Off suite
components by condition hostile note grounded accuracy
53.08642 percentFull Off suite
components by condition hostile note grounded accuracy numerator
86 countFull Off suite
components by condition hostile note grounded accuracy denominator
162 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
277.838003 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
15.466525 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
69.854712 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
203.640202 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,138 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
79.247613 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
79.156914 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
18 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
4.04704 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
11,857 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
12,947 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
278.059177 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
18 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
137 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.06206 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.10772 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.676723 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.222351 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.606445 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

53.09
79.254.63
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · ShellGame4096

correct/200 final parsed state-tracking answers under 4096 output cap

Read the source
Highest observed score

51.00 / 100

OrcaRouter
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
ShellGame4096
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · ShellGame4096. Scores are out of 100; correct/200 final parsed state-tracking answers under 4096 output cap. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T04:45:25.8924684Z to 2026-10-11T05:05:01.3086527Z
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (66)
requests
200 responsesOriginal complete Off suite
accuracy
51 percentFull Off suite
accuracy numerator
102 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
116 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
42.5 percentFull Off suite
accuracy by steps 16 numerator
17 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
75 percentFull Off suite
accuracy by steps 32 numerator
30 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
30 percentFull Off suite
accuracy by steps 4 numerator
12 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
87.5 percentFull Off suite
accuracy by steps 64 numerator
35 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
20 percentFull Off suite
accuracy by steps 8 numerator
8 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
70 percentFull Off suite
accuracy by family ledger numerator
35 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
18 percentFull Off suite
accuracy by family rover numerator
9 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
62 percentFull Off suite
accuracy by family shell numerator
31 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
54 percentFull Off suite
accuracy by family shuffle numerator
27 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
1,145.399727 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.82701 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
151.3315 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
989.8282 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
137,596 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
139.009982 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
110.5315 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.64514 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
1,150.063495 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
342 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.4597 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.18259 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
63.270554 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
94.715599 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.463867 GiBsampled whole host free memory; not model allocation
style additional material count
84 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
84 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
100 %Post-hoc response-style association; not a causal reasoning effect
style bare count
116 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
18 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
15.517241 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
0 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
0 countPost-hoc response-style association; not a causal reasoning effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

51.00
139.0119.09
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T04:30:14.3049189Z to 2026-10-11T04:44:19.0648185Z
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (66)
requests
200 responsesOriginal complete Off suite
accuracy
46.5 percentFull Off suite
accuracy numerator
93 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
128 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
30 percentFull Off suite
accuracy by steps 16 numerator
12 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
70 percentFull Off suite
accuracy by steps 32 numerator
28 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
35 percentFull Off suite
accuracy by steps 4 numerator
14 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
80 percentFull Off suite
accuracy by steps 64 numerator
32 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
17.5 percentFull Off suite
accuracy by steps 8 numerator
7 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
56 percentFull Off suite
accuracy by family ledger numerator
28 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
16 percentFull Off suite
accuracy by family rover numerator
8 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
68 percentFull Off suite
accuracy by family shell numerator
34 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
46 percentFull Off suite
accuracy by family shuffle numerator
23 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
816.327076 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.637643 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
128.3157 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
683.5576 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
126,521 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
185.091937 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
144.3515 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.54633 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
820.964647 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
248 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.440927 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.85473 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
70.695782 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
102.118969 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.46582 GiBsampled whole host free memory; not model allocation
style additional material count
72 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
71 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
98.611111 %Post-hoc response-style association; not a causal reasoning effect
style bare count
128 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
22 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
17.1875 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
1 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
1 countPost-hoc response-style association; not a causal reasoning effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

46.50
185.0913.61
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T05:06:17.7383304Z to 2026-10-11T05:34:33.5763107Z
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (66)
requests
200 responsesOriginal complete Off suite
accuracy
39 percentFull Off suite
accuracy numerator
78 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
138 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
27.5 percentFull Off suite
accuracy by steps 16 numerator
11 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
37.5 percentFull Off suite
accuracy by steps 32 numerator
15 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
42.5 percentFull Off suite
accuracy by steps 4 numerator
17 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
50 percentFull Off suite
accuracy by steps 64 numerator
20 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
37.5 percentFull Off suite
accuracy by steps 8 numerator
15 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
58 percentFull Off suite
accuracy by family ledger numerator
29 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
12 percentFull Off suite
accuracy by family rover numerator
6 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
78 percentFull Off suite
accuracy by family shell numerator
39 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
8 percentFull Off suite
accuracy by family shuffle numerator
4 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
2 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
1,664.792821 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.532576 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
275.3651 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
1,385.1224 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
83,922 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
60.588147 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
65.071 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
1.288805 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
1,669.472023 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
485 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.520426 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.411285 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
42.637905 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
73.614368 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.688477 GiBsampled whole host free memory; not model allocation
style additional material count
62 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
60 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
96.774194 %Post-hoc response-style association; not a causal reasoning effect
style bare count
138 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
18 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
13.043478 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
2 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
2 countPost-hoc response-style association; not a causal reasoning effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

39.00
60.5927.75
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T11:58:12.833393+00:00 to 2026-10-11T12:04:51.229175+00:00
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (70)
requests
200 responsesOriginal complete Off suite
accuracy
25 percentFull Off suite
accuracy numerator
50 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
170 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
20 percentFull Off suite
accuracy by steps 16 numerator
8 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
15 percentFull Off suite
accuracy by steps 32 numerator
6 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
40 percentFull Off suite
accuracy by steps 4 numerator
16 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
20 percentFull Off suite
accuracy by steps 64 numerator
8 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
30 percentFull Off suite
accuracy by steps 8 numerator
12 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
18 percentFull Off suite
accuracy by family ledger numerator
9 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
30 percentFull Off suite
accuracy by family rover numerator
15 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
42 percentFull Off suite
accuracy by family shell numerator
21 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
10 percentFull Off suite
accuracy by family shuffle numerator
5 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
393.697659 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.517575 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
52.767809 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
314.89402 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
26,070 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
82.789759 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
76.124217 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.39035 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
395.983086 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
194 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.06202 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.095652 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.336361 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
125.328068 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.602539 GiBsampled whole host free memory; not model allocation
style additional material count
30 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
30 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
100 %Post-hoc response-style association; not a causal reasoning effect
style bare count
170 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
20 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
11.764706 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
0 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
0 countPost-hoc response-style association; not a causal reasoning effect
paired 27b q4 correct q6 wrong
27 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect
paired 27b q6 correct q4 wrong
3 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect
paired 27b both correct
23 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect
paired 27b both wrong
147 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

25.00
82.796.56
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T04:23:44.1174475Z to 2026-10-11T04:29:13.7778841Z
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (66)
requests
200 responsesOriginal complete Off suite
accuracy
22 percentFull Off suite
accuracy numerator
44 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
179 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
7.5 percentFull Off suite
accuracy by steps 16 numerator
3 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
27.5 percentFull Off suite
accuracy by steps 32 numerator
11 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
30 percentFull Off suite
accuracy by steps 4 numerator
12 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
32.5 percentFull Off suite
accuracy by steps 64 numerator
13 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
12.5 percentFull Off suite
accuracy by steps 8 numerator
5 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
18 percentFull Off suite
accuracy by family ledger numerator
9 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
24 percentFull Off suite
accuracy by family rover numerator
12 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
44 percentFull Off suite
accuracy by family shell numerator
22 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
2 percentFull Off suite
accuracy by family shuffle numerator
1 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
300.738819 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.563945 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
116.7045 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
179.4578 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
39,077 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
217.750357 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
144.9305 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.501576 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
305.297021 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
99 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.359492 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.553293 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
78.45546 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
109.853668 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.479492 GiBsampled whole host free memory; not model allocation
style additional material count
21 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
20 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
95.238095 %Post-hoc response-style association; not a causal reasoning effect
style bare count
179 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
24 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
13.407821 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
1 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
1 countPost-hoc response-style association; not a causal reasoning effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

22.00
217.755.01
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T04:20:33.7769373Z to 2026-10-11T04:22:43.3717010Z
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (66)
requests
200 responsesOriginal complete Off suite
accuracy
16 percentFull Off suite
accuracy numerator
32 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
196 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
2.5 percentFull Off suite
accuracy by steps 16 numerator
1 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
15 percentFull Off suite
accuracy by steps 32 numerator
6 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
37.5 percentFull Off suite
accuracy by steps 4 numerator
15 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
7.5 percentFull Off suite
accuracy by steps 64 numerator
3 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
17.5 percentFull Off suite
accuracy by steps 8 numerator
7 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
22 percentFull Off suite
accuracy by family ledger numerator
11 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
8 percentFull Off suite
accuracy by family rover numerator
4 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
32 percentFull Off suite
accuracy by family shell numerator
16 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
2 percentFull Off suite
accuracy by family shuffle numerator
1 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
109.073612 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.431217 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
82.6529 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
22.0283 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
3,626 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
164.606438 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
136.4045 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.358213 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
113.671786 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
40 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.302016 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.594766 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
93.877029 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
124.961529 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.483398 GiBsampled whole host free memory; not model allocation
style additional material count
4 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
4 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
100 %Post-hoc response-style association; not a causal reasoning effect
style bare count
196 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
28 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
14.285714 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
0 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
0 countPost-hoc response-style association; not a causal reasoning effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

16.00
164.611.82
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
ShellGame4096
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:13:41.191419+00:00 to 2026-10-11T13:15:40.970731+00:00
Wall measurement methods
{"recordedMonotonic": 200}
Response-style definition
Bare means the complete stripped final response is one ANSWER: marker line; any additional material is in the other group. No text repair.
All measurements and denominators (70)
requests
200 responsesOriginal complete Off suite
accuracy
13 percentFull Off suite
accuracy numerator
26 countFull Off suite
accuracy denominator
200 countFull Off suite
format compliant
199 countFull Off suite
format compliant denominator
200 countFull Off suite
accuracy by steps 16
2.5 percentFull Off suite
accuracy by steps 16 numerator
1 countFull Off suite
accuracy by steps 16 denominator
40 countFull Off suite
accuracy by steps 32
10 percentFull Off suite
accuracy by steps 32 numerator
4 countFull Off suite
accuracy by steps 32 denominator
40 countFull Off suite
accuracy by steps 4
35 percentFull Off suite
accuracy by steps 4 numerator
14 countFull Off suite
accuracy by steps 4 denominator
40 countFull Off suite
accuracy by steps 64
5 percentFull Off suite
accuracy by steps 64 numerator
2 countFull Off suite
accuracy by steps 64 denominator
40 countFull Off suite
accuracy by steps 8
12.5 percentFull Off suite
accuracy by steps 8 numerator
5 countFull Off suite
accuracy by steps 8 denominator
40 countFull Off suite
accuracy by family ledger
14 percentFull Off suite
accuracy by family ledger numerator
7 countFull Off suite
accuracy by family ledger denominator
50 countFull Off suite
accuracy by family rover
16 percentFull Off suite
accuracy by family rover numerator
8 countFull Off suite
accuracy by family rover denominator
50 countFull Off suite
accuracy by family shell
22 percentFull Off suite
accuracy by family shell numerator
11 countFull Off suite
accuracy by family shell denominator
50 countFull Off suite
accuracy by family shuffle
0 percentFull Off suite
accuracy by family shuffle numerator
0 countFull Off suite
accuracy by family shuffle denominator
50 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
111.843628 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.526882 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
56.125833 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
29.548997 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
2,055 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
69.545508 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
61.506349 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.411312 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
141 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
1,137 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
114.110414 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
59 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062173 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.091319 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.292522 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
121.504021 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.170898 GiBsampled whole host free memory; not model allocation
style additional material count
1 countPost-hoc response-style association; not a causal reasoning effect
style additional material correct
1 countPost-hoc response-style association; not a causal reasoning effect
style additional material accuracy percent
100 %Post-hoc response-style association; not a causal reasoning effect
style bare count
199 countPost-hoc response-style association; not a causal reasoning effect
style bare correct
25 countPost-hoc response-style association; not a causal reasoning effect
style bare accuracy percent
12.562814 %Post-hoc response-style association; not a causal reasoning effect
style additional material failures
0 countPost-hoc response-style association; not a causal reasoning effect
style additional material capped failures
0 countPost-hoc response-style association; not a causal reasoning effect
paired 27b q4 correct q6 wrong
27 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect
paired 27b q6 correct q4 wrong
3 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect
paired 27b both correct
23 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect
paired 27b both wrong
147 countSame 200 ShellGame4096 items; Q4 Uncensored vs Q6 Standard, not an isolated quantization effect

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

13.00
69.551.86
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Mirage · neutral

100 times the harmonic mean of real-answer accuracy and unanswerable resistance; also sensitivity excluding 48 predefined controls

Read the source
Highest observed score

92.60 / 100

OrcaRouter
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Mirage
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Mirage · neutral. Scores are out of 100; 100 times the harmonic mean of real-answer accuracy and unanswerable resistance; also sensitivity excluding 48 predefined controls. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:12:50.2982482Z to 2026-10-11T06:16:24.2965529Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
92.6 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
99.333333 percentFull Off suite
full300 real accuracy numerator
149 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
86.666667 percentFull Off suite
full300 unanswerable resistance numerator
130 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
88.9 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
99.333333 percentFull Off suite
excluding48 controls real accuracy numerator
149 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
80.392157 percentFull Off suite
excluding48 controls unanswerable resistance numerator
82 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
100 percentFull Off suite
credit by family fabricated numerator
60 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
36.666667 percentFull Off suite
credit by family fake tech numerator
11 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
97.777778 percentFull Off suite
credit by family false premise numerator
44 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
98.333333 percentFull Off suite
credit by family real common numerator
59 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
100 percentFull Off suite
credit by family real obscure numerator
90 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
182.764992 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.597581 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
141.7341 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
34.1962 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,311 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
126.066639 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
134.969 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.491899 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
189.782693 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
66 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.300949 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.526795 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
63.669983 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
95.305317 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.461914 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

92.60
126.073.05
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:22:11.7406497Z to 2026-10-11T06:28:34.2265655Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
92.6 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
94.666667 percentFull Off suite
full300 real accuracy numerator
142 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
90.666667 percentFull Off suite
full300 unanswerable resistance numerator
136 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
90.3 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
94.666667 percentFull Off suite
excluding48 controls real accuracy numerator
142 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
86.27451 percentFull Off suite
excluding48 controls unanswerable resistance numerator
88 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
100 percentFull Off suite
credit by family fabricated numerator
60 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
53.333333 percentFull Off suite
credit by family fake tech numerator
16 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
100 percentFull Off suite
credit by family false premise numerator
45 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
100 percentFull Off suite
credit by family real common numerator
60 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
91.111111 percentFull Off suite
credit by family real obscure numerator
82 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
345.113323 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.139148 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
281.1317 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
57.3784 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,312 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
75.150231 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
78.794667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.962111 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
352.146901 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
115 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.349302 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.735922 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
41.582245 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
72.08704 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.520508 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

92.60
75.155.75
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:04:42.2324166Z to 2026-10-11T06:07:42.5547493Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
91.6 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
94.666667 percentFull Off suite
full300 real accuracy numerator
142 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
88.666667 percentFull Off suite
full300 unanswerable resistance numerator
133 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
88.6 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
94.666667 percentFull Off suite
excluding48 controls real accuracy numerator
142 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
83.333333 percentFull Off suite
excluding48 controls unanswerable resistance numerator
85 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
100 percentFull Off suite
credit by family fabricated numerator
60 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
43.333333 percentFull Off suite
credit by family fake tech numerator
13 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
100 percentFull Off suite
credit by family false premise numerator
45 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
98.333333 percentFull Off suite
credit by family real common numerator
59 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
92.222222 percentFull Off suite
credit by family real obscure numerator
83 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
148.249675 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.481318 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
115.9534 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
25.5498 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,281 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
167.555128 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
181.049 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.406487 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
155.274567 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
55 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.31367 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.699504 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
69.050568 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
100.330982 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.473633 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

91.60
167.562.47
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:15:58.829313+00:00 to 2026-10-11T13:18:11.058037+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
90 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
90 percentFull Off suite
full300 real accuracy numerator
135 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
90 percentFull Off suite
full300 unanswerable resistance numerator
135 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
88.6 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
90 percentFull Off suite
excluding48 controls real accuracy numerator
135 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
87.254902 percentFull Off suite
excluding48 controls unanswerable resistance numerator
89 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
96.666667 percentFull Off suite
credit by family fabricated numerator
58 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
60 percentFull Off suite
credit by family fake tech numerator
18 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
97.777778 percentFull Off suite
credit by family false premise numerator
44 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
100 percentFull Off suite
credit by family real common numerator
60 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
83.333333 percentFull Off suite
credit by family real obscure numerator
75 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
124.297211 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.408695 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
52.248848 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
61.302197 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,246 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
69.263423 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
64.345415 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.203828 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
127.681133 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
65 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062523 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.094454 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
88.021854 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
122.929237 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.174805 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

90.00
69.262.07
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T05:57:04.2853727Z to 2026-10-11T05:59:50.7989159Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
89.5 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
94 percentFull Off suite
full300 real accuracy numerator
141 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
85.333333 percentFull Off suite
full300 unanswerable resistance numerator
128 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
86.7 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
94 percentFull Off suite
excluding48 controls real accuracy numerator
141 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
80.392157 percentFull Off suite
excluding48 controls unanswerable resistance numerator
82 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
96.666667 percentFull Off suite
credit by family fabricated numerator
58 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
36.666667 percentFull Off suite
credit by family fake tech numerator
11 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
97.777778 percentFull Off suite
credit by family false premise numerator
44 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
96.666667 percentFull Off suite
credit by family real common numerator
58 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
92.222222 percentFull Off suite
credit by family real obscure numerator
83 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
135.004178 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.44725 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
106.4319 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
22.1281 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,313 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
194.910544 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
205.286667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.379025 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
142.110516 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
52 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.270183 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.369107 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
78.03603 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
110.242458 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.473633 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

89.50
194.912.25
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:05:08.188448+00:00 to 2026-10-11T12:07:05.948483+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
83.4 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
88 percentFull Off suite
full300 real accuracy numerator
132 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
79.333333 percentFull Off suite
full300 unanswerable resistance numerator
119 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
82.4 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
88 percentFull Off suite
excluding48 controls real accuracy numerator
132 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
77.45098 percentFull Off suite
excluding48 controls unanswerable resistance numerator
79 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
86.666667 percentFull Off suite
credit by family fabricated numerator
52 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
26.666667 percentFull Off suite
credit by family fake tech numerator
8 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
97.777778 percentFull Off suite
credit by family false premise numerator
44 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
100 percentFull Off suite
credit by family real common numerator
60 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
80 percentFull Off suite
credit by family real obscure numerator
72 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
110.875236 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.360116 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
50.257196 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
50.117626 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,249 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
84.780552 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
78.753473 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.192086 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
114.25951 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
58 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062606 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.12537 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.80579 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.497833 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.604492 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

83.40
84.781.85
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T05:51:05.3996186Z to 2026-10-11T05:53:06.8703719Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
74.3 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
63.333333 percentFull Off suite
full300 real accuracy numerator
95 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
90 percentFull Off suite
full300 unanswerable resistance numerator
135 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
72.7 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
63.333333 percentFull Off suite
excluding48 controls real accuracy numerator
95 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
85.294118 percentFull Off suite
excluding48 controls unanswerable resistance numerator
87 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
100 percentFull Off suite
credit by family fabricated numerator
60 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
56.666667 percentFull Off suite
credit by family fake tech numerator
17 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
95.555556 percentFull Off suite
credit by family false premise numerator
43 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
78.333333 percentFull Off suite
credit by family real common numerator
47 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
53.333333 percentFull Off suite
credit by family real obscure numerator
48 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
99.051797 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.3274 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
69.053 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
23.2107 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,235 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
182.458952 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
185.922 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.259727 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
107 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
180 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
105.954729 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
38 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.285316 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.374741 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
93.33725 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
125.059353 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.469727 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

74.30
182.461.65
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Mirage · pressure

100 times the harmonic mean of real-answer accuracy and unanswerable resistance; also sensitivity excluding 48 predefined controls

Read the source
Highest observed score

90.60 / 100

OrcaRouter
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Mirage
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Mirage · pressure. Scores are out of 100; 100 times the harmonic mean of real-answer accuracy and unanswerable resistance; also sensitivity excluding 48 predefined controls. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:17:27.5891323Z to 2026-10-11T06:20:49.7939385Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
90.6 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
99.333333 percentFull Off suite
full300 real accuracy numerator
149 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
83.333333 percentFull Off suite
full300 unanswerable resistance numerator
125 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
86.4 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
99.333333 percentFull Off suite
excluding48 controls real accuracy numerator
149 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
76.470588 percentFull Off suite
excluding48 controls unanswerable resistance numerator
78 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
98.333333 percentFull Off suite
credit by family fabricated numerator
59 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
20 percentFull Off suite
credit by family fake tech numerator
6 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
100 percentFull Off suite
credit by family false premise numerator
45 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
98.333333 percentFull Off suite
credit by family real common numerator
59 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
100 percentFull Off suite
credit by family real obscure numerator
90 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
171.716557 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.558007 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
132.4755 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
32.9533 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,315 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
130.94288 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
138.977333 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.461007 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
178.73393 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
62 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.293352 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.852758 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
63.614944 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
95.170906 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.461914 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

90.60
130.942.86
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:08:49.7361771Z to 2026-10-11T06:11:48.6102891Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
90.4 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
98.666667 percentFull Off suite
full300 real accuracy numerator
148 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
83.333333 percentFull Off suite
full300 unanswerable resistance numerator
125 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
87.4 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
98.666667 percentFull Off suite
excluding48 controls real accuracy numerator
148 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
78.431373 percentFull Off suite
excluding48 controls unanswerable resistance numerator
80 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
95 percentFull Off suite
credit by family fabricated numerator
57 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
26.666667 percentFull Off suite
credit by family fake tech numerator
8 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
100 percentFull Off suite
credit by family false premise numerator
45 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
100 percentFull Off suite
credit by family real common numerator
60 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
97.777778 percentFull Off suite
credit by family real obscure numerator
88 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
146.404028 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.477248 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
114.5614 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
24.8088 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,316 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
173.970527 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
185.52 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.40313 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
153.669208 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
55 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.305742 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.477042 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
69.826714 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
101.478966 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.477539 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

90.40
173.972.44
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:29:44.4671654Z to 2026-10-11T06:35:52.5964117Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
90.4 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
98.666667 percentFull Off suite
full300 real accuracy numerator
148 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
83.333333 percentFull Off suite
full300 unanswerable resistance numerator
125 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
87.4 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
98.666667 percentFull Off suite
excluding48 controls real accuracy numerator
148 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
78.431373 percentFull Off suite
excluding48 controls unanswerable resistance numerator
80 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
95 percentFull Off suite
credit by family fabricated numerator
57 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
26.666667 percentFull Off suite
credit by family fake tech numerator
8 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
100 percentFull Off suite
credit by family false premise numerator
45 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
98.333333 percentFull Off suite
credit by family real common numerator
59 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
98.888889 percentFull Off suite
credit by family real obscure numerator
89 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
335.163584 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.108276 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
271.5629 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
57.0743 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,319 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
75.673289 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
79.003667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.928873 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
341.907523 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
112 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.315899 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.442966 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
42.974812 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
74.089935 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.503906 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

90.40
75.675.59
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T06:00:51.8741575Z to 2026-10-11T06:03:35.6812849Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
89.6 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
98.666667 percentFull Off suite
full300 real accuracy numerator
148 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
82 percentFull Off suite
full300 unanswerable resistance numerator
123 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
86.8 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
98.666667 percentFull Off suite
excluding48 controls real accuracy numerator
148 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
77.45098 percentFull Off suite
excluding48 controls unanswerable resistance numerator
79 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
93.333333 percentFull Off suite
credit by family fabricated numerator
56 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
30 percentFull Off suite
credit by family fake tech numerator
9 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
95.555556 percentFull Off suite
credit by family false premise numerator
43 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
98.333333 percentFull Off suite
credit by family real common numerator
59 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
98.888889 percentFull Off suite
credit by family real obscure numerator
89 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
135.186725 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.44089 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
105.5626 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
23.3065 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,312 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
185.012765 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
197.280667 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.371435 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
142.407188 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
50 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.319057 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.694226 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
76.374634 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
107.579483 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.481445 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

89.60
185.012.25
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:18:31.833459+00:00 to 2026-10-11T13:20:41.999999+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
85.5 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
94.666667 percentFull Off suite
full300 real accuracy numerator
142 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
78 percentFull Off suite
full300 unanswerable resistance numerator
117 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
82.8 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
94.666667 percentFull Off suite
excluding48 controls real accuracy numerator
142 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
73.529412 percentFull Off suite
excluding48 controls unanswerable resistance numerator
75 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
90 percentFull Off suite
credit by family fabricated numerator
54 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
13.333333 percentFull Off suite
credit by family fake tech numerator
4 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
97.777778 percentFull Off suite
credit by family false premise numerator
44 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
100 percentFull Off suite
credit by family real common numerator
60 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
91.111111 percentFull Off suite
credit by family real obscure numerator
82 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
121.572635 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.39549 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
50.411407 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
60.524094 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,197 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
69.344285 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
64.352775 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.190581 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
124.965635 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
64 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062448 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.080046 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.700394 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
122.612919 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.174805 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

85.50
69.342.03
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:07:24.344232+00:00 to 2026-10-11T12:09:20.033014+00:00
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
76.6 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
94.666667 percentFull Off suite
full300 real accuracy numerator
142 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
64.333333 percentFull Off suite
full300 unanswerable resistance numerator
96.5 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
77.9 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
94.666667 percentFull Off suite
excluding48 controls real accuracy numerator
142 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
66.176471 percentFull Off suite
excluding48 controls unanswerable resistance numerator
67.5 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
68.333333 percentFull Off suite
credit by family fabricated numerator
41 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
3.333333 percentFull Off suite
credit by family fake tech numerator
1 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
87.777778 percentFull Off suite
credit by family false premise numerator
39.5 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
100 percentFull Off suite
credit by family real common numerator
60 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
91.111111 percentFull Off suite
credit by family real obscure numerator
82 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
108.55284 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.353338 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
49.075944 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
49.326279 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,182 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
84.782394 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
78.649928 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.184101 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
111.924411 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
57 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062241 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.080489 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.466801 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.159748 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.606445 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

76.60
84.781.81
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score. Sensitivity excludes 48 predefined controls; this is not a fresh run.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[256]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Mirage
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T05:54:02.6263839Z to 2026-10-11T05:56:02.8055423Z
Wall measurement methods
{"recordedMonotonic": 300}
All measurements and denominators (62)
requests
300 responsesOriginal complete Off suite
full300 mirage score
76.4 harmonic_mean_points_per_100Full Off suite
full300 mirage score real denominator
150 countFull Off suite
full300 mirage score unanswerable denominator
150 countFull Off suite
full300 real accuracy
70 percentFull Off suite
full300 real accuracy numerator
105 countFull Off suite
full300 real accuracy denominator
150 countFull Off suite
full300 unanswerable resistance
84 percentFull Off suite
full300 unanswerable resistance numerator
126 countFull Off suite
full300 unanswerable resistance denominator
150 countFull Off suite
excluding48 controls mirage score
73.5 harmonic_mean_points_per_100Full Off suite
excluding48 controls mirage score real denominator
150 countFull Off suite
excluding48 controls mirage score unanswerable denominator
102 countFull Off suite
excluding48 controls real accuracy
70 percentFull Off suite
excluding48 controls real accuracy numerator
105 countFull Off suite
excluding48 controls real accuracy denominator
150 countFull Off suite
excluding48 controls unanswerable resistance
77.45098 percentFull Off suite
excluding48 controls unanswerable resistance numerator
79 countFull Off suite
excluding48 controls unanswerable resistance denominator
102 countFull Off suite
credit by family fabricated
98.333333 percentFull Off suite
credit by family fabricated numerator
59 countFull Off suite
credit by family fabricated denominator
60 countFull Off suite
credit by family fake tech
36.666667 percentFull Off suite
credit by family fake tech numerator
11 countFull Off suite
credit by family fake tech denominator
30 countFull Off suite
credit by family false premise
91.111111 percentFull Off suite
credit by family false premise numerator
41 countFull Off suite
credit by family false premise denominator
45 countFull Off suite
credit by family real common
78.333333 percentFull Off suite
credit by family real common numerator
47 countFull Off suite
credit by family real common denominator
60 countFull Off suite
credit by family real obscure
64.444444 percentFull Off suite
credit by family real obscure numerator
58 countFull Off suite
credit by family real obscure denominator
90 countFull Off suite
credit by family unknowable
100 percentFull Off suite
credit by family unknowable numerator
15 countFull Off suite
credit by family unknowable denominator
15 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
98.03719 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.324736 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
67.713 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
23.723 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
4,294 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
181.005775 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
184.165 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
300 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.256499 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
89 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
162 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
105.099023 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
300 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
38 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.251695 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.340194 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
94.053703 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.185028 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.475586 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

76.40
181.011.63
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · SimonSays · bank 20261010

strict all-rules pass /1000 across five 200-request banks

Read the source
Highest observed score

63.50 / 100

ISTA
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
SimonSays
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · SimonSays · bank 20261010. Scores are out of 100; strict all-rules pass /1000 across five 200-request banks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:10:19.1804118Z to 2026-10-11T08:15:05.2836129Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
63.5 percentFull Off suite
strict accuracy numerator
127 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
63.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
97.5 percentFull Off suite
strict accuracy by level 1 numerator
39 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
90 percentFull Off suite
strict accuracy by level 2 numerator
36 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
65 percentFull Off suite
strict accuracy by level 3 numerator
26 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
45 percentFull Off suite
strict accuracy by level 4 numerator
18 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
258.145008 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.183725 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
74.357 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
179.8192 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
22,801 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
126.799585 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
126.455 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.39676 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
262.687069 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
84 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.470476 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.647862 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
67.809704 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
94.596416 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.181641 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

63.50
126.804.30
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:42:59.9340695Z to 2026-10-11T07:47:36.8326129Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
60 percentFull Off suite
strict accuracy numerator
120 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
60 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
87.5 percentFull Off suite
strict accuracy by level 2 numerator
35 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
65 percentFull Off suite
strict accuracy by level 3 numerator
26 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
40 percentFull Off suite
strict accuracy by level 4 numerator
16 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
15 percentFull Off suite
strict accuracy by level 6 numerator
6 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
2 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
249.748734 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.138294 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
66.5181 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
179.2539 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
24,808 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
138.395873 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
136.859 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.36449 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
254.469332 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
82 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.411378 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.182949 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
76.80201 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
103.567665 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.186523 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

60.00
138.404.16
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T09:11:51.8301887Z to 2026-10-11T09:21:49.5617570Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
59.5 percentFull Off suite
strict accuracy numerator
119 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
59.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
95 percentFull Off suite
strict accuracy by level 1 numerator
38 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
87.5 percentFull Off suite
strict accuracy by level 2 numerator
35 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
50 percentFull Off suite
strict accuracy by level 3 numerator
20 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
40 percentFull Off suite
strict accuracy by level 4 numerator
16 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
25 percentFull Off suite
strict accuracy by level 6 numerator
10 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
566.552875 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.674841 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
177.6962 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
385.2301 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,480 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
55.758883 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
55.919 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.893457 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
571.184752 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
173 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.472389 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.821093 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
41.375389 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
69.408127 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.461914 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

59.50
55.769.44
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:21:02.338719+00:00 to 2026-10-11T13:26:59.590734+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
58.5 percentFull Off suite
strict accuracy numerator
117 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
58.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
87.5 percentFull Off suite
strict accuracy by level 1 numerator
35 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
90 percentFull Off suite
strict accuracy by level 2 numerator
36 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
57.5 percentFull Off suite
strict accuracy by level 3 numerator
23 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
348.931928 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.454407 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
34.283399 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
291.26324 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
19,697 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
67.62611 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
66.723607 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.289376 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
351.347606 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
174 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062258 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.110904 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.305473 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
121.468204 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.168945 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

58.50
67.635.82
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:38:51.3242115Z to 2026-10-11T08:44:15.4137866Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
58 percentFull Off suite
strict accuracy numerator
116 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
58 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
95 percentFull Off suite
strict accuracy by level 1 numerator
38 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
82.5 percentFull Off suite
strict accuracy by level 2 numerator
33 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
32.5 percentFull Off suite
strict accuracy by level 4 numerator
13 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
25 percentFull Off suite
strict accuracy by level 6 numerator
10 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
297.814846 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.312275 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
87.1449 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
206.8745 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
19,731 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
95.376666 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
96.3055 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.462843 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
302.505853 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
95 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.445009 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.691246 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
61.16412 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
87.881653 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.1875 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

58.00
95.384.96
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:09:37.612521+00:00 to 2026-10-11T12:14:55.597762+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57 percentFull Off suite
strict accuracy numerator
114 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
87.5 percentFull Off suite
strict accuracy by level 1 numerator
35 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
80 percentFull Off suite
strict accuracy by level 2 numerator
32 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
65 percentFull Off suite
strict accuracy by level 3 numerator
26 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
40 percentFull Off suite
strict accuracy by level 4 numerator
16 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
2 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
312.906632 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.201648 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
33.074566 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
257.361077 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,347 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
82.945721 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
81.86225 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.277468 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
315.270469 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
155 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062011 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.093087 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.420929 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
125.817001 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.602539 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.00
82.955.22
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:09:55.4787439Z to 2026-10-11T07:13:21.0085788Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
53.5 percentFull Off suite
strict accuracy numerator
107 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
53.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
87.5 percentFull Off suite
strict accuracy by level 1 numerator
35 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
90 percentFull Off suite
strict accuracy by level 2 numerator
36 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
22.5 percentFull Off suite
strict accuracy by level 4 numerator
9 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
185.915472 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.793459 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
46.1995 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
135.9944 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,573 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
158.631532 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
157.817 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.253666 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
215 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
190.372116 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
62 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.350476 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.716442 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
93.957943 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
123.146454 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.21582 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

53.50
158.633.10
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · SimonSays · bank 1

strict all-rules pass /1000 across five 200-request banks

Read the source
Highest observed score

56.50 / 100

Flash-Next Unsloth
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
SimonSays
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · SimonSays · bank 1. Scores are out of 100; strict all-rules pass /1000 across five 200-request banks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T09:23:10.8045112Z to 2026-10-11T09:33:44.8275437Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56.5 percentFull Off suite
strict accuracy numerator
113 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
72.5 percentFull Off suite
strict accuracy by level 2 numerator
29 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
47.5 percentFull Off suite
strict accuracy by level 4 numerator
19 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
17.5 percentFull Off suite
strict accuracy by level 6 numerator
7 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
599.823846 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.620795 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
177.7171 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
418.5942 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
24,274 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
57.989337 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
57.067 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.896546 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
604.513053 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
184 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.475421 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.001928 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
40.298717 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
68.869514 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.459961 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.50
57.9910.00
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:15:11.551467+00:00 to 2026-10-11T12:19:54.492595+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
75 percentFull Off suite
strict accuracy by level 2 numerator
30 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
22.5 percentFull Off suite
strict accuracy by level 6 numerator
9 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
277.345714 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.205776 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
32.917204 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
222.010714 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
18,447 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
83.090585 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
81.924975 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.275051 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
279.729267 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
138 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062039 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.095558 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.734409 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.451988 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.604492 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
83.094.62
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:27:20.151852+00:00 to 2026-10-11T13:33:13.226579+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
75 percentFull Off suite
strict accuracy by level 2 numerator
30 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
25 percentFull Off suite
strict accuracy by level 6 numerator
10 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
345.117938 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.469569 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
34.294696 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
287.356979 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
19,460 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
67.720645 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
66.837416 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.288734 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
347.52445 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
172 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062152 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.097598 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.83102 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
122.75058 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.170898 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
67.725.75
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:16:11.4410695Z to 2026-10-11T08:20:44.3244821Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
54.5 percentFull Off suite
strict accuracy numerator
109 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
54.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
65 percentFull Off suite
strict accuracy by level 2 numerator
26 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
45 percentFull Off suite
strict accuracy by level 4 numerator
18 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
17.5 percentFull Off suite
strict accuracy by level 6 numerator
7 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
241.889046 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.085843 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
72.5146 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
165.2257 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,243 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
128.569587 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
128.964 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.396521 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
246.538802 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
80 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.453599 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.199206 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
69.034782 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
96.505585 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.181641 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

54.50
128.574.03
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:48:36.2683551Z to 2026-10-11T07:53:06.1069160Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
53.5 percentFull Off suite
strict accuracy numerator
107 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
53.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
95 percentFull Off suite
strict accuracy by level 1 numerator
38 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
72.5 percentFull Off suite
strict accuracy by level 2 numerator
29 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
50 percentFull Off suite
strict accuracy by level 3 numerator
20 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
40 percentFull Off suite
strict accuracy by level 4 numerator
16 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
10 percentFull Off suite
strict accuracy by level 6 numerator
4 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
240.980292 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.054587 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
66.4821 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
170.4494 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
22,875 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
134.204051 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
135.848 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.370541 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
246.203719 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
80 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.416052 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.642975 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
75.604786 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
102.142048 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.183594 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

53.50
134.204.02
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:14:15.7368961Z to 2026-10-11T07:17:52.2817129Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
49.5 percentFull Off suite
strict accuracy numerator
99 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
49.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
87.5 percentFull Off suite
strict accuracy by level 1 numerator
35 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
75 percentFull Off suite
strict accuracy by level 2 numerator
30 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
42.5 percentFull Off suite
strict accuracy by level 3 numerator
17 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
32.5 percentFull Off suite
strict accuracy by level 4 numerator
13 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
10 percentFull Off suite
strict accuracy by level 6 numerator
4 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
4 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
194.612944 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.784805 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
45.4756 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
145.0763 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
23,643 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
162.969417 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
159.3505 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.253362 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
199.132857 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
66 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.333946 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.562131 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
93.965588 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
124.551201 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.199219 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

49.50
162.973.24
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:45:17.0542722Z to 2026-10-11T08:50:55.3301753Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
49 percentFull Off suite
strict accuracy numerator
98 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
49 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
62.5 percentFull Off suite
strict accuracy by level 2 numerator
25 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
52.5 percentFull Off suite
strict accuracy by level 3 numerator
21 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
25 percentFull Off suite
strict accuracy by level 4 numerator
10 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
15 percentFull Off suite
strict accuracy by level 6 numerator
6 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
308.420216 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.339199 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
86.5155 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
217.7864 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,495 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
98.697623 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
98.314 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.46409 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
216 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
312.99016 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
99 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.440261 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.460174 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
62.192348 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
89.611107 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.182617 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

49.00
98.705.14
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · SimonSays · bank 2

strict all-rules pass /1000 across five 200-request banks

Read the source
Highest observed score

59.00 / 100

Swift
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
SimonSays
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · SimonSays · bank 2. Scores are out of 100; strict all-rules pass /1000 across five 200-request banks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:54:10.4723341Z to 2026-10-11T07:58:39.4008607Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
59 percentFull Off suite
strict accuracy numerator
118 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
59 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
57.5 percentFull Off suite
strict accuracy by level 3 numerator
23 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
52.5 percentFull Off suite
strict accuracy by level 4 numerator
21 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
17.5 percentFull Off suite
strict accuracy by level 6 numerator
7 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
242.683651 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.089424 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
66.6343 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
171.7754 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
22,749 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
132.434563 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
133.763 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.371917 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
247.376595 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
80 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.426355 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.518292 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
76.417393 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
103.767944 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.191406 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

59.00
132.434.04
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:20:10.897613+00:00 to 2026-10-11T12:24:37.265282+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57.5 percentFull Off suite
strict accuracy numerator
115 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
75 percentFull Off suite
strict accuracy by level 2 numerator
30 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
67.5 percentFull Off suite
strict accuracy by level 3 numerator
27 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
17.5 percentFull Off suite
strict accuracy by level 6 numerator
7 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
261.192284 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.157196 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
33.359647 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
204.558143 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
16,992 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
83.066847 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
81.776201 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.283275 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
263.556034 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
130 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062133 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.108003 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.558414 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
126.077335 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.602539 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.50
83.074.35
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:30:05.8525123Z to 2026-10-11T07:33:30.5949661Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57 percentFull Off suite
strict accuracy numerator
114 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
85 percentFull Off suite
strict accuracy by level 1 numerator
34 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
65 percentFull Off suite
strict accuracy by level 3 numerator
26 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
185.020434 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.819963 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
46.4594 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
134.4726 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,494 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
159.839253 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
158.067 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.25866 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
189.622303 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
62 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.363183 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.49276 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
93.4575 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
122.811543 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.186523 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.00
159.843.08
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:21:55.5619597Z to 2026-10-11T08:26:31.1567749Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56.5 percentFull Off suite
strict accuracy numerator
113 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
75 percentFull Off suite
strict accuracy by level 2 numerator
30 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
45 percentFull Off suite
strict accuracy by level 4 numerator
18 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
15 percentFull Off suite
strict accuracy by level 6 numerator
6 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
245.761993 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.116048 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
73.1242 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
168.4759 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,231 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
126.018024 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
126.234 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.39235 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
250.389924 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
81 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.444836 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.615106 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
68.591301 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
95.873013 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.19043 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.50
126.024.10
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T09:34:50.8304213Z to 2026-10-11T09:45:00.6267783Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
72.5 percentFull Off suite
strict accuracy by level 2 numerator
29 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
60 percentFull Off suite
strict accuracy by level 3 numerator
24 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
576.240188 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.58902 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
176.8291 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
395.8902 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
22,438 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
56.677331 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
56.279 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.882596 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
580.705833 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
175 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.51886 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.212548 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
40.135822 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
68.258659 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.461914 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
56.689.60
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:33:31.581378+00:00 to 2026-10-11T13:39:06.099998+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
65 percentFull Off suite
strict accuracy by level 2 numerator
26 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
65 percentFull Off suite
strict accuracy by level 3 numerator
26 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
42.5 percentFull Off suite
strict accuracy by level 4 numerator
17 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
17.5 percentFull Off suite
strict accuracy by level 6 numerator
7 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
326.920659 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.385024 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
34.249963 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
269.85412 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
18,285 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
67.758832 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
66.821121 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.284188 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
329.351178 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
163 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.06226 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.093317 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
86.455284 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
120.635727 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.168945 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
67.765.45
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:51:56.6872273Z to 2026-10-11T08:57:27.5044184Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
55 percentFull Off suite
strict accuracy numerator
110 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
55 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
85 percentFull Off suite
strict accuracy by level 1 numerator
34 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
72.5 percentFull Off suite
strict accuracy by level 2 numerator
29 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
57.5 percentFull Off suite
strict accuracy by level 3 numerator
23 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
40 percentFull Off suite
strict accuracy by level 4 numerator
16 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
300.827475 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.321113 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
87.3364 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
209.5677 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
20,097 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
95.897412 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
96.3985 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.460718 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
305.584631 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
97 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.45754 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.875826 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
61.71175 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
88.675781 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.199219 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

55.00
95.905.01
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · SimonSays · bank 3

strict all-rules pass /1000 across five 200-request banks

Read the source
Highest observed score

57.50 / 100

ISTA
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
SimonSays
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · SimonSays · bank 3. Scores are out of 100; strict all-rules pass /1000 across five 200-request banks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:27:34.1213132Z to 2026-10-11T08:32:01.1504487Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57.5 percentFull Off suite
strict accuracy numerator
115 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
70 percentFull Off suite
strict accuracy by level 2 numerator
28 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
62.5 percentFull Off suite
strict accuracy by level 3 numerator
25 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
45 percentFull Off suite
strict accuracy by level 4 numerator
18 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
237.794128 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.063683 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
72.6721 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
160.9484 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
20,686 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
128.525664 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
130.1935 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.391621 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
242.367176 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
79 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.440753 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.600707 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
68.767548 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
96.246113 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.176758 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.50
128.533.96
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T09:46:09.5742028Z to 2026-10-11T09:55:57.7172821Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
42.5 percentFull Off suite
strict accuracy by level 4 numerator
17 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
557.080243 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.548073 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
173.7738 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
379.4445 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,919 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
57.766024 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
58.107 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.874221 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
561.762576 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
170 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.487218 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
5.186397 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
40.239723 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
68.68362 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.457031 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
57.779.28
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:24:53.232572+00:00 to 2026-10-11T12:29:34.243947+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
85 percentFull Off suite
strict accuracy by level 1 numerator
34 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
70 percentFull Off suite
strict accuracy by level 2 numerator
28 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
65 percentFull Off suite
strict accuracy by level 3 numerator
26 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
47.5 percentFull Off suite
strict accuracy by level 4 numerator
19 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
275.801882 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.118847 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
33.319914 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
218.954449 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
18,195 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
83.099476 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
81.884968 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.28298 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
278.187313 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
137 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.06227 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.10675 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
88.472301 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
127.728699 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.604492 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
83.104.60
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:34:23.7688981Z to 2026-10-11T07:37:33.5558431Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
55.5 percentFull Off suite
strict accuracy numerator
111 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
55.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
67.5 percentFull Off suite
strict accuracy by level 2 numerator
27 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
47.5 percentFull Off suite
strict accuracy by level 4 numerator
19 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
15 percentFull Off suite
strict accuracy by level 6 numerator
6 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
168.549084 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.773818 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
45.8537 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
118.946 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
18,977 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
159.542986 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
158.7385 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.255016 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
172.979458 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
58 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.334286 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.487933 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
94.293247 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
124.313133 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.180664 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

55.50
159.542.81
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:58:29.1030583Z to 2026-10-11T09:04:02.5610619Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
55.5 percentFull Off suite
strict accuracy numerator
111 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
55.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
87.5 percentFull Off suite
strict accuracy by level 1 numerator
35 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
72.5 percentFull Off suite
strict accuracy by level 2 numerator
29 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
62.5 percentFull Off suite
strict accuracy by level 3 numerator
25 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
40 percentFull Off suite
strict accuracy by level 4 numerator
16 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
15 percentFull Off suite
strict accuracy by level 6 numerator
6 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
304.489155 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.362781 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
88.3671 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
212.0678 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
20,269 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
95.577924 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
96.493 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.468176 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
309.102228 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
97 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.472219 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.691877 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
60.816261 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
87.587105 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.179688 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

55.50
95.585.07
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:59:38.9082842Z to 2026-10-11T08:03:55.8415516Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
54.5 percentFull Off suite
strict accuracy numerator
109 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
54.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
65 percentFull Off suite
strict accuracy by level 2 numerator
26 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
67.5 percentFull Off suite
strict accuracy by level 3 numerator
27 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
228.480994 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.026773 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
66.3539 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
158.0669 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,011 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
132.92473 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
133.7555 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.362956 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
233.328763 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
76 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.427223 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
4.449889 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
75.735832 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
102.623867 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.182617 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

54.50
132.923.81
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:39:24.719382+00:00 to 2026-10-11T13:44:54.978473+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
51.5 percentFull Off suite
strict accuracy numerator
103 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
51.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
85 percentFull Off suite
strict accuracy by level 1 numerator
34 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
60 percentFull Off suite
strict accuracy by level 2 numerator
24 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
62.5 percentFull Off suite
strict accuracy by level 3 numerator
25 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
322.28843 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.341515 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
34.035234 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
265.008537 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
17,946 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
67.718573 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
66.706839 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.288019 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
50 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
204 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
324.701194 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
161 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062121 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.107465 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
86.902905 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
121.154488 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.170898 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

51.50
67.725.37
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · SimonSays · bank 4

strict all-rules pass /1000 across five 200-request banks

Read the source
Highest observed score

57.50 / 100

Flash-Next Unsloth
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
SimonSays
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · SimonSays · bank 4. Scores are out of 100; strict all-rules pass /1000 across five 200-request banks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T09:57:09.5743583Z to 2026-10-11T10:07:06.1114004Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57.5 percentFull Off suite
strict accuracy numerator
115 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
60 percentFull Off suite
strict accuracy by level 3 numerator
24 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
22.5 percentFull Off suite
strict accuracy by level 6 numerator
9 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
563.678667 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.52589 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
174.9671 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
385.3582 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,773 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
56.500679 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
56.938 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.870584 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
568.240886 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
173 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.48425 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.712185 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
40.171188 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
68.636044 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.459961 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.50
56.509.39
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:04:55.2547385Z to 2026-10-11T08:09:15.8444184Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57 percentFull Off suite
strict accuracy numerator
114 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
95 percentFull Off suite
strict accuracy by level 1 numerator
38 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
60 percentFull Off suite
strict accuracy by level 3 numerator
24 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
17.5 percentFull Off suite
strict accuracy by level 6 numerator
7 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
234.739786 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.061157 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
65.4164 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
165.2574 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
22,130 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
133.912309 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
135.959 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.362477 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
239.483099 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
78 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.395565 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.521283 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
76.378727 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
103.817253 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.188477 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.00
133.913.91
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T08:33:05.9860137Z to 2026-10-11T08:37:40.5875625Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57 percentFull Off suite
strict accuracy numerator
114 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
95 percentFull Off suite
strict accuracy by level 1 numerator
38 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
57.5 percentFull Off suite
strict accuracy by level 3 numerator
23 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
42.5 percentFull Off suite
strict accuracy by level 4 numerator
17 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
12.5 percentFull Off suite
strict accuracy by level 6 numerator
5 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
244.944881 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.094506 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
73.1733 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
167.4186 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,265 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
127.01695 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
128.972 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.394676 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
249.523655 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
81 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.444087 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.598265 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
68.751266 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
96.243652 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.193359 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.00
127.024.08
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:45:14.792907+00:00 to 2026-10-11T13:50:49.358033+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
57 percentFull Off suite
strict accuracy numerator
114 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
57 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
80 percentFull Off suite
strict accuracy by level 2 numerator
32 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
55 percentFull Off suite
strict accuracy by level 3 numerator
22 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
25 percentFull Off suite
strict accuracy by level 6 numerator
10 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
326.499505 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.448862 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
34.088822 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
269.367745 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
18,264 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
67.803218 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
66.84676 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.285509 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
328.89906 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
163 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062252 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.107481 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.440701 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
121.971359 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.168945 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

57.00
67.805.44
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T09:05:06.0844388Z to 2026-10-11T09:10:39.9173129Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
56 percentFull Off suite
strict accuracy numerator
112 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
56 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
92.5 percentFull Off suite
strict accuracy by level 1 numerator
37 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
70 percentFull Off suite
strict accuracy by level 2 numerator
28 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
57.5 percentFull Off suite
strict accuracy by level 3 numerator
23 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
25 percentFull Off suite
strict accuracy by level 6 numerator
10 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
308.025331 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.401759 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
87.4866 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
216.4985 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
20,932 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
96.684273 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
97.5365 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.462182 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
312.610145 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
98 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.457833 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.614156 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
61.854942 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
89.323196 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.1875 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

56.00
96.685.13
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T07:38:32.1818796Z to 2026-10-11T07:42:00.3348332Z
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
55.5 percentFull Off suite
strict accuracy numerator
111 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
55.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
77.5 percentFull Off suite
strict accuracy by level 2 numerator
31 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
52.5 percentFull Off suite
strict accuracy by level 3 numerator
21 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
37.5 percentFull Off suite
strict accuracy by level 4 numerator
15 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
20 percentFull Off suite
strict accuracy by level 6 numerator
8 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
1 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
187.644183 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
0.794324 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
46.3563 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
137.1606 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
21,862 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
159.389796 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
158.5365 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.257618 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
192.204211 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
63 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.363792 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.55083 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
92.12151 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
118.245499 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.165039 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

55.50
159.393.13
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[1024]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
SimonSays
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:29:51.176839+00:00 to 2026-10-11T12:34:40.370456+00:00
Wall measurement methods
{"recordedMonotonic": 200}
All measurements and denominators (47)
requests
200 responsesOriginal complete Off suite
strict accuracy
51.5 percentFull Off suite
strict accuracy numerator
103 countFull Off suite
strict accuracy denominator
200 countFull Off suite
nonempty strict accuracy
51.5 percentFull Off suite
nonempty strict accuracy denominator
200 countFull Off suite
empty strict pass count
0 countFull Off suite
strict accuracy by level 1
90 percentFull Off suite
strict accuracy by level 1 numerator
36 countFull Off suite
strict accuracy by level 1 denominator
40 countFull Off suite
strict accuracy by level 2
75 percentFull Off suite
strict accuracy by level 2 numerator
30 countFull Off suite
strict accuracy by level 2 denominator
40 countFull Off suite
strict accuracy by level 3
42.5 percentFull Off suite
strict accuracy by level 3 numerator
17 countFull Off suite
strict accuracy by level 3 denominator
40 countFull Off suite
strict accuracy by level 4
35 percentFull Off suite
strict accuracy by level 4 numerator
14 countFull Off suite
strict accuracy by level 4 denominator
40 countFull Off suite
strict accuracy by level 6
15 percentFull Off suite
strict accuracy by level 6 numerator
6 countFull Off suite
strict accuracy by level 6 denominator
40 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
283.425354 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.23546 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
33.450463 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
226.386174 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
18,780 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
82.955596 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
81.836641 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
200 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.284425 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
49 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
205 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
285.786067 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
200 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
141 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062306 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.108291 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
87.105579 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
125.281029 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.604492 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

51.50
82.964.72
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · Ops Repo Repair

solved tasks/8, assertion micro accuracy/38, and equal-weight mean of eight module accuracies

Read the source
Highest observed score

100.00 / 100

Coder
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Ops Repo Repair
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · Ops Repo Repair. Scores are out of 100; solved tasks/8, assertion micro accuracy/38, and equal-weight mean of eight module accuracies. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T10:31:57.0239024Z to 2026-10-11T10:32:23.5530805Z
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
100 percentFull Off suite
task pass accuracy numerator
8 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
100 percentFull Off suite
assertion micro accuracy numerator
38 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
100 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
10.645036 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
1.227472 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
2.5898 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
7.9245 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,616 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
203.924538 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
205.125 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.303845 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
10.814976 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
9 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.301194 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.395181 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
90.69453 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
120.108131 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.227539 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

100.00
203.920.18
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T10:35:12.9606124Z to 2026-10-11T10:35:59.5922244Z
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
100 percentFull Off suite
task pass accuracy numerator
8 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
100 percentFull Off suite
assertion micro accuracy numerator
38 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
100 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
20.272049 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.378376 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
3.9778 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
16.1118 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,950 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
121.029308 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
124.6625 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.478786 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
20.388926 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
15 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.320884 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.547771 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
66.989639 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
96.344807 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.225586 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

100.00
121.030.34
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T12:34:55.917926+00:00 to 2026-10-11T12:35:20.676696+00:00
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
100 percentFull Off suite
task pass accuracy numerator
8 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
100 percentFull Off suite
assertion micro accuracy numerator
38 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
100 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
21.495472 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.206387 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
0.964296 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
19.901361 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,644 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
82.607416 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
82.226096 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.198607 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
21.578745 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
13 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.061761 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.077302 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
92.643482 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
131.388004 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
13.604492 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

100.00
82.610.36
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T13:51:07.528773+00:00 to 2026-10-11T13:51:38.516754+00:00
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
100 percentFull Off suite
task pass accuracy numerator
8 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
100 percentFull Off suite
assertion micro accuracy numerator
38 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
100 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
25.790005 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
3.404091 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
0.988385 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
24.120122 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,626 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
67.412594 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
66.992626 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.209221 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
25.87546 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
16 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
2.062568 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
2.079547 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
92.935154 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
127.95351 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
9.174805 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

100.00
67.410.43
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T10:33:25.1884393Z to 2026-10-11T10:34:06.0356811Z
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
87.5 percentFull Off suite
task pass accuracy numerator
7 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
97.368421 percentFull Off suite
assertion micro accuracy numerator
37 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
97.5 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
19.57703 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
2.540087 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
4.9051 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
14.5157 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,898 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
130.754976 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
137.7375 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.584751 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
19.72464 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
13 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.362785 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.64084 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
73.028408 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
101.457104 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.213867 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

87.50
130.750.33
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T10:39:08.5057907Z to 2026-10-11T10:40:33.9928752Z
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
87.5 percentFull Off suite
task pass accuracy numerator
7 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
97.368421 percentFull Off suite
assertion micro accuracy numerator
37 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
97.5 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
57.565036 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
6.929283 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
9.7618 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
47.6546 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
2,333 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
48.956449 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
48.7375 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
1.219649 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
57.736799 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
26 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.449401 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.595442 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
42.832939 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
70.101604 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.467773 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

87.50
48.960.96
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
17,395 unique answers across 98 full Off suites. Matched Off smoke and pooled SimonSays reuse these answers. All caps and empty finals retained; no cross-benchmark score.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Ops Repo Repair
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Memory sampling bounds
2026-10-11T10:37:10.7711443Z to 2026-10-11T10:37:57.5826249Z
Wall measurement methods
{"recordedMonotonic": 8}
All measurements and denominators (35)
requests
8 responsesOriginal complete Off suite
task pass accuracy
75 percentFull Off suite
task pass accuracy numerator
6 countFull Off suite
task pass accuracy denominator
8 countFull Off suite
assertion micro accuracy
94.736842 percentFull Off suite
assertion micro accuracy numerator
36 countFull Off suite
assertion micro accuracy denominator
38 countFull Off suite
equal module accuracy
94.375 percentFull Off suite
equal module accuracy denominator
8 countFull Off suite
unavailable tasks
0 countFull Off suite
capped
0 countOriginal complete Off suite; capped and empty may overlap
empty final
0 countOriginal complete Off suite; capped and empty may overlap
overlap capped and empty
0 countOriginal complete Off suite; capped and empty may overlap
request count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
summed request seconds
24.245213 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median request seconds
3.164153 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native prefill seconds
5.3767 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native decode seconds
18.6991 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native generated tokens
1,860 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
aggregate native decode tokens per second
99.470028 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
arithmetic mean native decode tokens per second
100.6875 tokens/sOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
recorded time to first content count
8 countOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
median recorded time to first content seconds
0.665524 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
minimum input tokens
154 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
maximum input tokens
253 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
native cached tokens
0 tokensOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
reasoning characters
0 charactersOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
request span seconds
24.414042 secondsOriginal complete Off suite; native prefill/decode directly recorded; wall method counted separately
wall method recorded monotonic
8 requestsTimestamp differences are reconstructed, not monotonic measurements
sampled memory sample count
15 countsampled whole host free memory; not model allocation
sampled memory median sample interval seconds
3.308046 secondssampled whole host free memory; not model allocation
sampled memory maximum sample interval seconds
3.583472 secondssampled whole host free memory; not model allocation
sampled memory minimum free ram gi b
62.619026 GiBsampled whole host free memory; not model allocation
sampled memory minimum free commit gi b
89.763874 GiBsampled whole host free memory; not model allocation
sampled memory minimum free vram gi b
2.227539 GiBsampled whole host free memory; not model allocation

Whole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

75.00
99.470.40
—
CompleteWhole-host memory is sampled free capacity, not model allocation. Wall times retain their measurement method; arithmetic mean decode rate is diagnostic, aggregate rate is primary.

Flash-Next full Off / Original captures October 2026; reviewed 21 October

Flash-Next Off · SimonSays pooled five banks

strict all-rules pass /1000 across five 200-request banks

Read the source
Highest observed score

57.80 / 100

ISTA
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
SimonSays five banks
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Off · SimonSays pooled five banks. Scores are out of 100; strict all-rules pass /1000 across five 200-request banks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
57.8 percentFive existing SimonSays banks
strict accuracy numerator
578 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
54.5 %Five existing SimonSays banks
seed maximum percent
63.5 %Five existing SimonSays banks
seed sample standard deviation percent
3.383785 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
1 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
1,228.535056 secondsSum across the five banks
native prefill seconds
365.8412 secondsSum across the five banks
native decode seconds
841.8878 secondsSum across the five banks
native generated tokens
107,226 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

57.80
127.3620.48
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
57.1 percentFive existing SimonSays banks
strict accuracy numerator
571 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
56 %Five existing SimonSays banks
seed maximum percent
59.5 %Five existing SimonSays banks
seed sample standard deviation percent
1.474788 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
1 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
2,863.375819 secondsSum across the five banks
native prefill seconds
880.9833 secondsSum across the five banks
native decode seconds
1,964.5172 secondsSum across the five banks
native generated tokens
111,884 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

57.10
56.9547.72
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
56.8 percentFive existing SimonSays banks
strict accuracy numerator
568 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
53.5 %Five existing SimonSays banks
seed maximum percent
60 %Five existing SimonSays banks
seed sample standard deviation percent
2.79732 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
2 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
1,196.633457 secondsSum across the five banks
native prefill seconds
331.4048 secondsSum across the five banks
native decode seconds
844.803 secondsSum across the five banks
native generated tokens
113,573 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

56.80
134.4419.94
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.
27B StandardOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
55.8 percentFive existing SimonSays banks
strict accuracy numerator
558 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
51.5 %Five existing SimonSays banks
seed maximum percent
58.5 %Five existing SimonSays banks
seed sample standard deviation percent
2.61247 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
1 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
1,669.758461 secondsSum across the five banks
native prefill seconds
170.952114 secondsSum across the five banks
native decode seconds
1,382.850621 secondsSum across the five banks
native generated tokens
93,652 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

55.80
67.7227.83
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
55.6 percentFive existing SimonSays banks
strict accuracy numerator
556 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
51.5 %Five existing SimonSays banks
seed maximum percent
57.5 %Five existing SimonSays banks
seed sample standard deviation percent
2.382226 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
2 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
1,410.671866 secondsSum across the five banks
native prefill seconds
166.121794 secondsSum across the five banks
native decode seconds
1,129.270557 secondsSum across the five banks
native generated tokens
93,761 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

55.60
83.0323.51
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
54.7 percentFive existing SimonSays banks
strict accuracy numerator
547 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
49 %Five existing SimonSays banks
seed maximum percent
58 %Five existing SimonSays banks
seed sample standard deviation percent
3.383785 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
2 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
1,519.577023 secondsSum across the five banks
native prefill seconds
436.8505 secondsSum across the five banks
native decode seconds
1,062.7949 secondsSum across the five banks
native generated tokens
102,524 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

54.70
96.4725.33
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Reuses the five bank captures above; 1,000 answers per model, not additional inference. Bank seed differs from inference seed5090. Caps and empty finals retained.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Bank seeds
[1, 2, 3, 4, 20261010]
Settings
See individual bank results for exact samplers and output limits
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
SimonSays five banks
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
bankSeeds
[1, 2, 3, 4, 20261010]
All measurements and denominators (14)
strict accuracy
54.2 percentFive existing SimonSays banks
strict accuracy numerator
542 countFive existing SimonSays banks
strict accuracy denominator
1,000 countFive existing SimonSays banks
seed minimum percent
49.5 %Five existing SimonSays banks
seed maximum percent
57 %Five existing SimonSays banks
seed sample standard deviation percent
2.906888 %Five existing SimonSays banks
requests
1,000 responsesReused five-bank cohort
capped
7 responsesReused five-bank cohort
empty final
0 responsesReused five-bank cohort
overlap capped and empty
0 responsesReused five-bank cohort
summed request seconds
921.742117 secondsSum across the five banks
native prefill seconds
230.3445 secondsSum across the five banks
native decode seconds
671.6499 secondsSum across the five banks
native generated tokens
107,549 tokensSum across the five banks

Pooled summary of five existing banks. Timing is summed; no pooled median inferred.

54.20
160.1315.36
—
CompletePooled summary of five existing banks. Timing is summed; no pooled median inferred.

Flash-Next matched thinking / Original captures October 2026; reviewed 21 October

Flash-Next Compass3X 60 · pairedOff

Tier-weighted percentage on 285 points; correct-answer count and unweighted percentage separate

Read the source
Highest observed score

93.68 / 100

Swift
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
Thinking
Off (matched subset)
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Compass3X 60 · pairedOff. Scores are out of 100; Tier-weighted percentage on 285 points; correct-answer count and unweighted percentage separate. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
SwiftOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
57 countFinal-amendment4 selected requests
accuracy percentage
95 %Final-amendment4 selected requests
weighted points
267 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
93.684211 %Final-amendment4 selected requests
request wall seconds
19.336891 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
186.172633 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
282 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
2.7861 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
101.216755 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.312497 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.271224 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

93.68
101.220.32
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
ISTAOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
56 countFinal-amendment4 selected requests
accuracy percentage
93.333333 %Final-amendment4 selected requests
weighted points
261 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
91.578947 %Final-amendment4 selected requests
request wall seconds
21.463066 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
167.729996 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
268 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
3.3209 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
80.701015 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.3478 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.305898 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

91.58
80.700.36
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
Flash-Next UnslothOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
56 countFinal-amendment4 selected requests
accuracy percentage
93.333333 %Final-amendment4 selected requests
weighted points
261 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
91.578947 %Final-amendment4 selected requests
request wall seconds
45.201665 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
79.643084 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
268 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
7.609 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
35.221448 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.736571 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.61797 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

91.58
35.220.75
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
27B UncensoredOff (matched subset) · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": null, "presence_penalty": 1.5, "repetition_penalty": null, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 (9a9394a)"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
56 countFinal-amendment4 selected requests
accuracy percentage
93.333333 %Final-amendment4 selected requests
weighted points
261 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
91.578947 %Final-amendment4 selected requests
request wall seconds
13.878339 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
259.39704 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
261 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
3.030675 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
86.119429 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.229025 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.177216 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

91.58
86.120.23
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
27B StandardOff (matched subset) · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": null, "presence_penalty": 1.5, "repetition_penalty": null, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 (9a9394a)"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 1.5, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
55 countFinal-amendment4 selected requests
accuracy percentage
91.666667 %Final-amendment4 selected requests
weighted points
255 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
89.473684 %Final-amendment4 selected requests
request wall seconds
14.924694 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
241.210972 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
271 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
3.864944 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
70.117445 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.245664 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.18116 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

89.47
70.120.25
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
OrcaRouterOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
53 countFinal-amendment4 selected requests
accuracy percentage
88.333333 %Final-amendment4 selected requests
weighted points
244.5 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
85.789474 %Final-amendment4 selected requests
request wall seconds
26.314152 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
136.808513 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
255 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
4.4872 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
56.828312 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.433979 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.369109 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

85.79
56.830.44
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
CoderOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 1.5, "repetition_penalty": 1, "seed": 5090, "temperature": 0.7, "top_k": 20, "top_p": 0.8}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
35 countFinal-amendment4 selected requests
accuracy percentage
58.333333 %Final-amendment4 selected requests
weighted points
153.75 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
53.947368 %Final-amendment4 selected requests
request wall seconds
17.392595 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
206.984634 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
218 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
3,820 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
1.7667 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
123.393898 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.286178 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.266995 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

53.95
123.390.29
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

Flash-Next matched thinking / Original captures October 2026; reviewed 21 October

Flash-Next Evidence-to-Action 18 · pairedOff

Grounded percentage over 324 components; semantic and citation metrics separate

Read the source
Highest observed score

66.67 / 100

Flash-Next Unsloth
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
Thinking
Off (matched subset)
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Evidence-to-Action 18 · pairedOff. Scores are out of 100; Grounded percentage over 324 components; semantic and citation metrics separate. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
240 countFinal-amendment4 selected requests
semantic percentage
74.074074 %Final-amendment4 selected requests
citation correct
265 countFinal-amendment4 selected requests
citation percentage
81.790123 %Final-amendment4 selected requests
grounded correct
216 countFinal-amendment4 selected requests
grounded percentage
66.666667 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
428.647604 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
2.519552 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,531 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
260.3964 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
63.483981 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
23.627421 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
9.330749 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

66.67
63.487.14
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
SwiftOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
244 countFinal-amendment4 selected requests
semantic percentage
75.308642 %Final-amendment4 selected requests
citation correct
247 countFinal-amendment4 selected requests
citation percentage
76.234568 %Final-amendment4 selected requests
grounded correct
206 countFinal-amendment4 selected requests
grounded percentage
63.580247 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
312.929917 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
3.451252 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,232 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
68.2009 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
238.002724 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
16.74037 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
13.216653 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

63.58
238.005.22
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
ISTAOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
231 countFinal-amendment4 selected requests
semantic percentage
71.296296 %Final-amendment4 selected requests
citation correct
238 countFinal-amendment4 selected requests
citation percentage
73.45679 %Final-amendment4 selected requests
grounded correct
196 countFinal-amendment4 selected requests
grounded percentage
60.493827 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
363.564125 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
2.97059 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,337 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
91.7402 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
178.078966 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
19.942582 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
14.75713 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

60.49
178.086.06
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
27B StandardOff (matched subset) · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": null, "presence_penalty": 0, "repetition_penalty": null, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 (9a9394a)"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
245 countFinal-amendment4 selected requests
semantic percentage
75.617284 %Final-amendment4 selected requests
citation correct
242 countFinal-amendment4 selected requests
citation percentage
74.691358 %Final-amendment4 selected requests
grounded correct
188 countFinal-amendment4 selected requests
grounded percentage
58.024691 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
331.108835 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
3.261767 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,304 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
250.158421 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
65.1747 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
18.390991 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
4.407294 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

58.02
65.175.52
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
CoderOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
221 countFinal-amendment4 selected requests
semantic percentage
68.209877 %Final-amendment4 selected requests
citation correct
226 countFinal-amendment4 selected requests
citation percentage
69.753086 %Final-amendment4 selected requests
grounded correct
184 countFinal-amendment4 selected requests
grounded percentage
56.790123 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
227.415612 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
4.749014 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,326 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
69.9436 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
233.416639 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
12.51213 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
8.464343 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

56.79
233.423.79
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
OrcaRouterOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
248 countFinal-amendment4 selected requests
semantic percentage
76.54321 %Final-amendment4 selected requests
citation correct
184 countFinal-amendment4 selected requests
citation percentage
56.790123 %Final-amendment4 selected requests
grounded correct
172 countFinal-amendment4 selected requests
grounded percentage
53.08642 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
436.181393 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
2.476034 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,068 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
105.7904 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
151.885237 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
23.505637 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
17.977021 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

53.09
151.897.27
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
27B UncensoredOff (matched subset) · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": null, "presence_penalty": 0, "repetition_penalty": null, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 (9a9394a)"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
242 countFinal-amendment4 selected requests
semantic percentage
74.691358 %Final-amendment4 selected requests
citation correct
221 countFinal-amendment4 selected requests
citation percentage
68.209877 %Final-amendment4 selected requests
grounded correct
172 countFinal-amendment4 selected requests
grounded percentage
53.08642 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
277.838003 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
3.887157 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,138 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,092 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
203.640202 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
79.247613 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
15.466525 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
4.04704 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

53.09
79.254.63
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

Flash-Next matched thinking / Original captures October 2026; reviewed 21 October

Flash-Next ShellGame 40 · pairedOff

Correct state-tracking answers /40, expressed as percentage

Read the source
Highest observed score

47.50 / 100

OrcaRouter
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
Thinking
Off (matched subset)
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next ShellGame 40 · pairedOff. Scores are out of 100; Correct state-tracking answers /40, expressed as percentage. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
OrcaRouterOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
19 countFinal-amendment4 selected requests
accuracy percentage
47.5 %Final-amendment4 selected requests
request wall seconds
243.887407 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
9.840606 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
29,197 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
212.9291 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
137.12076 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.790397 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.651633 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

47.50
137.124.06
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
ISTAOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
18 countFinal-amendment4 selected requests
accuracy percentage
45 %Final-amendment4 selected requests
request wall seconds
149.839551 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
16.017133 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
22,618 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
123.2056 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
183.579318 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.631969 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.55041 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

45.00
183.582.50
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
Flash-Next UnslothOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
14 countFinal-amendment4 selected requests
accuracy percentage
35 %Final-amendment4 selected requests
request wall seconds
297.653253 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
8.063073 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
14,800 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
242.5463 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
61.019278 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
1.484791 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
1.253125 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

35.00
61.024.96
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
27B UncensoredOff (matched subset) · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": null, "presence_penalty": 0, "repetition_penalty": null, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 (9a9394a)"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
13 countFinal-amendment4 selected requests
accuracy percentage
32.5 %Final-amendment4 selected requests
request wall seconds
75.595558 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
31.747897 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
4,969 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
60.023745 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
82.783905 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.523801 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.398204 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

32.50
82.781.26
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
SwiftOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
8 countFinal-amendment4 selected requests
accuracy percentage
20 %Final-amendment4 selected requests
request wall seconds
52.807624 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
45.447983 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
6,355 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
28.6304 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
221.96686 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.571721 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.50747 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

20.00
221.970.88
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
CoderOff (matched subset) · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"reasoningEffort": "none"}
kvCache
{"key": "int8", "value": "int8"}
gpuLayersRequested
null
expertResidentBudgetGiB
60.0
mtpDraftTokensMaximum
2
samplers
[{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
6 countFinal-amendment4 selected requests
accuracy percentage
15 %Final-amendment4 selected requests
request wall seconds
21.158919 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
113.427343 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
544 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
3.5922 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
151.439229 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.445982 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.366438 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

15.00
151.440.35
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.
27B StandardOff (matched subset) · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
Off (matched subset)
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
4096
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": null, "presence_penalty": 0, "repetition_penalty": null, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}
Memory evidence
SOURCE_RETAINED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 (9a9394a)"
thinking
"Off"
contextTokens
32768
outputCapsTokens
[4096]
nativeThinkingControl
{"chatTemplateEnableThinking": false, "reasoningBudget": 0}
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
expertResidentBudgetGiB
null
mtpDraftTokensMaximum
0
samplers
[{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repeat_last_n": 64, "repeat_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 40, "top_p": 1}]
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
6 countFinal-amendment4 selected requests
accuracy percentage
15 %Final-amendment4 selected requests
request wall seconds
25.444744 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
94.322034 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
644 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
16,431 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
9.36686 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
68.753029 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.535197 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.405 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
Unavailable Selected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. SOURCE_RETAINED
new generations
0 responsesPaired Off reuses the existing archive

Memory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

15.00
68.750.42
—
CompleteMemory SOURCE_RETAINED. All outcomes retained; separate reasoning-token counts unavailable.

Flash-Next matched thinking / Original captures October 2026; reviewed 21 October

Flash-Next Compass3X 60 · xHigh

Tier-weighted percentage on 285 points; correct-answer count and unweighted percentage separate

Read the source
Highest observed score

100.00 / 100

Swift
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
Thinking
xHigh
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Compass3X 60 · xHigh. Scores are out of 100; Tier-weighted percentage on 285 points; correct-answer count and unweighted percentage separate. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
SwiftxHigh · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
UNAVAILABLE_NOT_PERSISTED
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
UNAVAILABLE_NOT_PERSISTED
Recorded guard history
UNAVAILABLE_NOT_PERSISTED
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
60 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
weighted points
285 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
100 %Final-amendment4 selected requests
request wall seconds
69.560067 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
51.753832 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
6,337 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
46.9883 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
134.86336 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.939274 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.903497 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.374293 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
Unavailable Sampled whole-host free memory; not process allocation. UNAVAILABLE_NOT_PERSISTED
observed whole host minimum commit gi b
Unavailable Sampled whole-host free memory; not process allocation. UNAVAILABLE_NOT_PERSISTED
observed whole host minimum vram gi b
Unavailable Sampled whole-host free memory; not process allocation. UNAVAILABLE_NOT_PERSISTED
new generations
60 responsesPaired Off reuses the existing archive

Memory UNAVAILABLE_NOT_PERSISTED. All outcomes retained; separate reasoning-token counts unavailable.

100.00
134.861.16
—
CompleteMemory UNAVAILABLE_NOT_PERSISTED. All outcomes retained; separate reasoning-token counts unavailable.
ISTAxHigh · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
60 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
weighted points
285 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
100 %Final-amendment4 selected requests
request wall seconds
147.034504 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
24.484049 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
13,907 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
121.8093 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
114.170265 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
2.391499 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
2.309756 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.42235 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
63.882553 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
92.025143 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.249023 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
60 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
114.172.45
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
OrcaRouterxHigh · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
1
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
60 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
weighted points
285 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
100 %Final-amendment4 selected requests
request wall seconds
205.96104 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
17.479034 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
16,144 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
176.8216 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
91.301063 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
3.354223 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
3.234344 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.492109 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
57.851746 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
85.909683 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.235352 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
60 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
91.303.43
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
Flash-Next UnslothxHigh · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
"auto"
speculationWindowTokens
2
mtpDraftTokensMaximum
0
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
null
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
60 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
weighted points
285 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
100 %Final-amendment4 selected requests
request wall seconds
406.282339 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
8.860833 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
15,237 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
353.6525 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
43.084666 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
6.899583 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
6.781906 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.878972 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
38.899128 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
66.349876 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.525391 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
60 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
43.086.77
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
27B UncensoredxHigh · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 / 9a9394a89"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"b10709-9a9394a89"
runtimeCausalityIsolated
false
engineBuildVersion
"b10709-9a9394a89"
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
flashAttention
"on"
batchTokens
1024
microbatchTokens
256
parallelSlots
1
mtpDraftTokensMaximum
0
speculationType
"none"
expertResidentBudgetGiB
null
expertBudgetStatus
"NOT_APPLICABLE_TO_THIS_RUNTIME"
vramReserveMiB
null
vramReserveStatus
"NO_EXPLICIT_RESERVE_ARGUMENT"
loadMode
"none"
loadModeInterpretation
"Standard runtime loading; no direct-I/O equivalence to Strata is asserted."
fit
"off"
promptCacheEnabled
false
contextShiftEnabled
false
unifiedKvEnabled
false
nativeThinkingControl
{"chatTemplateEnableThinking": true, "reasoningEffort": "xhigh", "reasoningBudget": -1, "reasoningFormat": "deepseek"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
60 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
weighted points
285 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
100 %Final-amendment4 selected requests
request wall seconds
69.424724 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
51.854726 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
4,663 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
55.866054 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
83.467502 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.918591 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.869163 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.20822 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
86.220592 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
126.166962 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
13.660156 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
60 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
83.471.16
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
27B StandardxHigh · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 / 9a9394a89"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"b10709-9a9394a89"
runtimeCausalityIsolated
false
engineBuildVersion
"b10709-9a9394a89"
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
flashAttention
"on"
batchTokens
1024
microbatchTokens
256
parallelSlots
1
mtpDraftTokensMaximum
0
speculationType
"none"
expertResidentBudgetGiB
null
expertBudgetStatus
"NOT_APPLICABLE_TO_THIS_RUNTIME"
vramReserveMiB
null
vramReserveStatus
"NO_EXPLICIT_RESERVE_ARGUMENT"
loadMode
"none"
loadModeInterpretation
"Standard runtime loading; no direct-I/O equivalence to Strata is asserted."
fit
"off"
promptCacheEnabled
false
contextShiftEnabled
false
unifiedKvEnabled
false
nativeThinkingControl
{"chatTemplateEnableThinking": true, "reasoningEffort": "xhigh", "reasoningBudget": -1, "reasoningFormat": "deepseek"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
60 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
weighted points
285 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
100 %Final-amendment4 selected requests
request wall seconds
136.932051 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
26.290412 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
8,245 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
121.832676 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
67.674784 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
1.616152 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
1.578177 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.262978 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
84.582325 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
120.512493 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
9.102539 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
60 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
67.672.28
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
CoderxHigh · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Compass3X 60 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (22)
requests
60 countFinal-amendment4 selected requests
capped
1 countFinal-amendment4 selected requests
empty
1 countFinal-amendment4 selected requests
correct
43 countFinal-amendment4 selected requests
accuracy percentage
71.666667 %Final-amendment4 selected requests
weighted points
193.5 weighted pointsFinal-amendment4 selected requests
weighted maximum
285 weighted pointsFinal-amendment4 selected requests
weighted percentage
67.894737 %Final-amendment4 selected requests
request wall seconds
252.899251 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
14.234918 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
43,333 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
5,980 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
237.3985 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
182.532746 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
0.888341 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
0.863673 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.258814 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
87.125252 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
114.63546 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.212891 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
60 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

67.89
182.534.21
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

Flash-Next matched thinking / Original captures October 2026; reviewed 21 October

Flash-Next Evidence-to-Action 18 · xHigh

Grounded percentage over 324 components; semantic and citation metrics separate

Read the source
Highest observed score

97.53 / 100

27B Standard
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
Thinking
xHigh
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next Evidence-to-Action 18 · xHigh. Scores are out of 100; Grounded percentage over 324 components; semantic and citation metrics separate. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
27B StandardxHigh · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 / 9a9394a89"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"b10709-9a9394a89"
runtimeCausalityIsolated
false
engineBuildVersion
"b10709-9a9394a89"
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
flashAttention
"on"
batchTokens
1024
microbatchTokens
256
parallelSlots
1
mtpDraftTokensMaximum
0
speculationType
"none"
expertResidentBudgetGiB
null
expertBudgetStatus
"NOT_APPLICABLE_TO_THIS_RUNTIME"
vramReserveMiB
null
vramReserveStatus
"NO_EXPLICIT_RESERVE_ARGUMENT"
loadMode
"none"
loadModeInterpretation
"Standard runtime loading; no direct-I/O equivalence to Strata is asserted."
fit
"off"
promptCacheEnabled
false
contextShiftEnabled
false
unifiedKvEnabled
false
nativeThinkingControl
{"chatTemplateEnableThinking": true, "reasoningEffort": "xhigh", "reasoningBudget": -1, "reasoningFormat": "deepseek"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
324 countFinal-amendment4 selected requests
semantic percentage
100 %Final-amendment4 selected requests
citation correct
316 countFinal-amendment4 selected requests
citation percentage
97.530864 %Final-amendment4 selected requests
grounded correct
316 countFinal-amendment4 selected requests
grounded percentage
97.530864 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
2,303.461164 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
0.46886 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
143,226 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
2,220.475487 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
64.502401 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
124.70326 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
109.983222 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
4.513192 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
84.254322 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
118.580849 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
9.098633 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

97.53
64.5038.39
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
Flash-Next UnslothxHigh · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
"auto"
speculationWindowTokens
2
mtpDraftTokensMaximum
0
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
null
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
324 countFinal-amendment4 selected requests
semantic percentage
100 %Final-amendment4 selected requests
citation correct
314 countFinal-amendment4 selected requests
citation percentage
96.91358 %Final-amendment4 selected requests
grounded correct
314 countFinal-amendment4 selected requests
grounded percentage
96.91358 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
2,593.535801 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
0.41642 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
117,319 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
2,421.5243 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
48.448409 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
137.049463 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
120.754235 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
9.393748 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
38.161388 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
65.426361 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.521484 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

96.91
48.4543.23
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
ISTAxHigh · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
322 countFinal-amendment4 selected requests
semantic percentage
99.382716 %Final-amendment4 selected requests
citation correct
313 countFinal-amendment4 selected requests
citation percentage
96.604938 %Final-amendment4 selected requests
grounded correct
311 countFinal-amendment4 selected requests
grounded percentage
95.987654 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
1,250.698543 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
0.863517 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
104,949 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
955.1533 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
109.876603 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
67.34719 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
59.607817 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
16.013348 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
62.545952 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
90.029655 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.241211 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

95.99
109.8820.84
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
CoderxHigh · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
324 countFinal-amendment4 selected requests
semantic percentage
100 %Final-amendment4 selected requests
citation correct
306 countFinal-amendment4 selected requests
citation percentage
94.444444 %Final-amendment4 selected requests
grounded correct
306 countFinal-amendment4 selected requests
grounded percentage
94.444444 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
925.87373 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
1.166466 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
134,120 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
759.6541 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
176.55404 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
52.314529 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
48.700618 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
8.989594 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
85.233112 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
114.403702 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.213867 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

94.44
176.5515.43
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
SwiftxHigh · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
317 countFinal-amendment4 selected requests
semantic percentage
97.839506 %Final-amendment4 selected requests
citation correct
312 countFinal-amendment4 selected requests
citation percentage
96.296296 %Final-amendment4 selected requests
grounded correct
306 countFinal-amendment4 selected requests
grounded percentage
94.444444 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
18 countFinal-amendment4 selected requests
schema valid
18 countFinal-amendment4 selected requests
request wall seconds
1,011.433908 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
1.067791 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
103,367 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
740.0638 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
139.673093 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
57.989883 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
51.962335 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
14.771062 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
68.769382 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
97.515396 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.220703 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

94.44
139.6716.86
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
27B UncensoredxHigh · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 / 9a9394a89"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"b10709-9a9394a89"
runtimeCausalityIsolated
false
engineBuildVersion
"b10709-9a9394a89"
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
flashAttention
"on"
batchTokens
1024
microbatchTokens
256
parallelSlots
1
mtpDraftTokensMaximum
0
speculationType
"none"
expertResidentBudgetGiB
null
expertBudgetStatus
"NOT_APPLICABLE_TO_THIS_RUNTIME"
vramReserveMiB
null
vramReserveStatus
"NO_EXPLICIT_RESERVE_ARGUMENT"
loadMode
"none"
loadModeInterpretation
"Standard runtime loading; no direct-I/O equivalence to Strata is asserted."
fit
"off"
promptCacheEnabled
false
contextShiftEnabled
false
unifiedKvEnabled
false
nativeThinkingControl
{"chatTemplateEnableThinking": true, "reasoningEffort": "xhigh", "reasoningBudget": -1, "reasoningFormat": "deepseek"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
semantic correct
282 countFinal-amendment4 selected requests
semantic percentage
87.037037 %Final-amendment4 selected requests
citation correct
266 countFinal-amendment4 selected requests
citation percentage
82.098765 %Final-amendment4 selected requests
grounded correct
261 countFinal-amendment4 selected requests
grounded percentage
80.555556 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
16 countFinal-amendment4 selected requests
schema valid
16 countFinal-amendment4 selected requests
request wall seconds
1,712.627404 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
0.63061 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
126,518 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
1,635.861801 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
77.340274 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
81.909159 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
72.153738 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
4.206139 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
83.406734 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
122.444344 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
13.169922 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

80.56
77.3428.54
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
OrcaRouterxHigh · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
1
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
Evidence-to-Action 18 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (26)
requests
18 countFinal-amendment4 selected requests
capped
11 countFinal-amendment4 selected requests
empty
10 countFinal-amendment4 selected requests
semantic correct
108 countFinal-amendment4 selected requests
semantic percentage
33.333333 %Final-amendment4 selected requests
citation correct
104 countFinal-amendment4 selected requests
citation percentage
32.098765 %Final-amendment4 selected requests
grounded correct
104 countFinal-amendment4 selected requests
grounded percentage
32.098765 %Final-amendment4 selected requests
components
324 countFinal-amendment4 selected requests
json valid
7 countFinal-amendment4 selected requests
schema valid
6 countFinal-amendment4 selected requests
request wall seconds
3,345.824093 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
0.32279 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
269,147 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
220,740 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
2,985.4907 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
90.151679 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
196.778629 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
166.305435 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
19.509162 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
56.342155 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
83.553944 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.245117 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
18 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

32.10
90.1555.76
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

Flash-Next matched thinking / Original captures October 2026; reviewed 21 October

Flash-Next ShellGame 40 · xHigh

Correct state-tracking answers /40, expressed as percentage

Read the source
Highest observed score

100.00 / 100

Swift
Test captured
2026-10-11 to 2026-10-11 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
Thinking
xHigh
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.

7 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next ShellGame 40 · xHigh. Scores are out of 100; Correct state-tracking answers /40, expressed as percentage. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
SwiftxHigh · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
40 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
request wall seconds
236.244034 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
10.158987 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
40,554 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
208.5896 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
194.420048 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
2.919432 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
2.827547 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.602914 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
71.854565 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
100.044403 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.224609 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
194.423.94
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
Flash-Next UnslothxHigh · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
"auto"
speculationWindowTokens
2
mtpDraftTokensMaximum
0
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
null
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
40 countFinal-amendment4 selected requests
accuracy percentage
100 %Final-amendment4 selected requests
request wall seconds
915.696974 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
2.620954 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
49,711 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
856.8658 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
58.014919 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
8.959642 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
8.753012 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
1.321126 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
39.488403 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
67.445217 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.515625 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

100.00
58.0115.26
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
CoderxHigh · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
39 countFinal-amendment4 selected requests
accuracy percentage
97.5 %Final-amendment4 selected requests
request wall seconds
275.788513 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
8.70232 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
51,660 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
257.4329 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
200.673651 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
2.522246 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
2.483618 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.388337 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
86.088268 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
115.980164 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.21582 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

97.50
200.674.60
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
ISTAxHigh · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
4
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
39 countFinal-amendment4 selected requests
accuracy percentage
97.5 %Final-amendment4 selected requests
request wall seconds
319.728285 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
7.506374 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
43,410 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
289.3772 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
150.011818 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
3.47063 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
3.386718 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.63897 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
64.283138 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
92.159981 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.245117 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

97.50
150.015.33
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
27B UncensoredxHigh · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 / 9a9394a89"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"b10709-9a9394a89"
runtimeCausalityIsolated
false
engineBuildVersion
"b10709-9a9394a89"
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
flashAttention
"on"
batchTokens
1024
microbatchTokens
256
parallelSlots
1
mtpDraftTokensMaximum
0
speculationType
"none"
expertResidentBudgetGiB
null
expertBudgetStatus
"NOT_APPLICABLE_TO_THIS_RUNTIME"
vramReserveMiB
null
vramReserveStatus
"NO_EXPLICIT_RESERVE_ARGUMENT"
loadMode
"none"
loadModeInterpretation
"Standard runtime loading; no direct-I/O equivalence to Strata is asserted."
fit
"off"
promptCacheEnabled
false
contextShiftEnabled
false
unifiedKvEnabled
false
nativeThinkingControl
{"chatTemplateEnableThinking": true, "reasoningEffort": "xhigh", "reasoningBudget": -1, "reasoningFormat": "deepseek"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
39 countFinal-amendment4 selected requests
accuracy percentage
97.5 %Final-amendment4 selected requests
request wall seconds
525.51713 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
4.56693 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
41,746 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
509.186609 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
81.98566 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
9.136087 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
9.066746 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.39448 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
84.686897 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
124.321018 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
13.438477 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

97.50
81.998.76
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
27B StandardxHigh · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Prism llama.cpp b10709 / 9a9394a89"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"b10709-9a9394a89"
runtimeCausalityIsolated
false
engineBuildVersion
"b10709-9a9394a89"
kvCache
{"key": "q8_0", "value": "q8_0"}
gpuLayersRequested
"all"
flashAttention
"on"
batchTokens
1024
microbatchTokens
256
parallelSlots
1
mtpDraftTokensMaximum
0
speculationType
"none"
expertResidentBudgetGiB
null
expertBudgetStatus
"NOT_APPLICABLE_TO_THIS_RUNTIME"
vramReserveMiB
null
vramReserveStatus
"NO_EXPLICIT_RESERVE_ARGUMENT"
loadMode
"none"
loadModeInterpretation
"Standard runtime loading; no direct-I/O equivalence to Strata is asserted."
fit
"off"
promptCacheEnabled
false
contextShiftEnabled
false
unifiedKvEnabled
false
nativeThinkingControl
{"chatTemplateEnableThinking": true, "reasoningEffort": "xhigh", "reasoningBudget": -1, "reasoningFormat": "deepseek"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
0 countFinal-amendment4 selected requests
empty
0 countFinal-amendment4 selected requests
correct
39 countFinal-amendment4 selected requests
accuracy percentage
97.5 %Final-amendment4 selected requests
request wall seconds
733.957013 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
3.269946 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
48,396 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
717.018654 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
67.496152 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
8.601584 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
8.488225 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.39483 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
84.502735 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
119.055866 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
9.098633 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

97.50
67.5012.23
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.
OrcaRouterxHigh · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Final-amendment4. 826 matched Off answers across all three profiles are a subset of the 17,395 Off archive; not new generations. 826 xHigh answers are a separate cohort. Caps and empty finals retained. Sampler and output cap differ.
Thinking
xHigh
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Sampler
{"frequency_penalty": 0, "min_p": 0, "penalty_last_n": 64, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 1.0, "top_k": 20, "top_p": 0.95}
Memory evidence
AVAILABLE
Timing
Native decode includes reasoning plus final generation; original Strata Off first-content timing is not reconstructible from untimed streams
runtime
"Strata 0.1.40.1 frontend / 0.1.40 engine"
thinking
"xHigh"
contextTokens
32768
outputCapsTokens
[16384]
samplers
[{"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0, "presence_penalty": 0, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090}]
nativeReadbackBuild
"Strata 0.1.40"
runtimeCausalityIsolated
false
frontendPackageVersion
"0.1.40.1"
engineBuildVersion
"0.1.40"
frontendVersionEvidence
"Saved package identity metadata; engine build is also in native readback."
kvCache
{"key": "int8", "value": "int8"}
expertResidentBudgetGiB
60
expertBudgetMeaning
"Configured expert residency ceiling; not total process or whole-host RAM use."
expertCache
"auto"
vramReserveMiB
3072
poolWorkers
16
prefill
512
speculationWindowTokens
3
mtpDraftTokensMaximum
2
mtpMaximumBasis
"Same recorded engine binary and exact engine arguments as the audited matched Off profile."
minimumSpeculationProbability
0.5
suffixDraft
0
lookupChain
0
promptCache
0
conversationCacheMiB
0
adaptiveSwaps
96
adaptiveEvery
1
residentHeadroomGiB
8
parallelSlots
1
nativeThinkingControl
{"reasoningEffort": "xhigh"}
configuredAdmissionMinimumGiB
{"physicalRam": 74, "commit": 101, "vram": 29}
configuredLiveGuardMinimumGiB
{"physicalRam": 6, "commit": 8, "vram": 2}
Benchmark version
ShellGame 40 final-amendment4
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Recorded memory evidence
AVAILABLE
Recorded guard history
PERSISTED_CAPTURE_AUDIT_PASS
All measurements and denominators (19)
requests
40 countFinal-amendment4 selected requests
capped
1 countFinal-amendment4 selected requests
empty
1 countFinal-amendment4 selected requests
correct
38 countFinal-amendment4 selected requests
accuracy percentage
95 %Final-amendment4 selected requests
request wall seconds
694.180637 secondsSelected requests; excludes loading, qualification, gaps and grading
questions per minute
3.457313 requests/minuteSelected requests; excludes loading, qualification, gaps and grading
completion tokens
74,247 tokensSelected requests; excludes loading, qualification, gaps and grading
input tokens
17,871 tokensSelected requests; excludes loading, qualification, gaps and grading
reasoning tokens
Unavailable Selected requests; excludes loading, qualification, gaps and grading
native decode seconds
658.1162 secondsSelected requests; excludes loading, qualification, gaps and grading
native decode tokens per second
112.817463 tokens/sSelected requests; excludes loading, qualification, gaps and grading
median request seconds
6.251418 secondsSelected requests; excludes loading, qualification, gaps and grading
median first content seconds
5.920263 secondsSelected requests; excludes loading, qualification, gaps and grading
median first reasoning seconds
0.755173 secondsSelected requests; excludes loading, qualification, gaps and grading
observed whole host minimum ram gi b
56.439503 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum commit gi b
83.925362 GiBSampled whole-host free memory; not process allocation. AVAILABLE
observed whole host minimum vram gi b
2.245117 GiBSampled whole-host free memory; not process allocation. AVAILABLE
new generations
40 responsesPaired Off reuses the existing archive

Memory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

95.00
112.8211.57
—
CompleteMemory AVAILABLE. All outcomes retained; separate reasoning-token counts unavailable.

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · SHORT input condition

HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks

Read the source
Highest observed score

99.79 / 100

Flash-Next Unsloth
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.

5 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next HH2 · SHORT input condition. Scores are out of 100; HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 95.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 239, "wrong_value": 1}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 144}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 239, "correct_retrieval_wrong_integer": 1}
Request start range UTC
["2026-10-12T08:58:36.809966+00:00", "2026-10-12T12:43:12.011843+00:00"]
Last request estimated completion UTC
2026-10-12T12:43:24.016027+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
composite score out of100
99.791667 points /100HH2 SHORT; signed absent credit may be negative before per-haystack floor
present correct
959 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized absent correct
288 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent signed credit
288 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
288 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
239 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses
1 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning sum correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 SHORT primary requests; excludes qualification and loading
request wall seconds
550.337819 secondsHH2 SHORT primary requests; excludes qualification and loading
native prefill seconds
218.8459 secondsHH2 SHORT primary requests; excludes qualification and loading
native decode seconds
330.5264 secondsHH2 SHORT primary requests; excludes qualification and loading
prompt tokens
178,055 tokensHH2 SHORT primary requests; excludes qualification and loading
prompt read tokens
98,052 tokensHH2 SHORT primary requests; excludes qualification and loading
reused prompt tokens
80,003 tokensHH2 SHORT primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 SHORT primary requests; excludes qualification and loading
generated tokens
22,365 tokensHH2 SHORT primary requests; excludes qualification and loading
median request wall seconds
22.34181 secondsHH2 SHORT primary requests; excludes qualification and loading
median time to first token seconds
8.596174 secondsHH2 SHORT primary requests; excludes qualification and loading
capped requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native aggregate decode tokens per second
67.664792 tokens/sHH2 SHORT primary requests; excludes qualification and loading
minimum input tokens
7,355 tokensHH2 SHORT primary requests; excludes qualification and loading
maximum input tokens
7,484 tokensHH2 SHORT primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

99.79
67.669.17
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 240}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 143, "fabricated": 1}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 239, "correct_retrieval_wrong_integer": 1}
Request start range UTC
["2026-10-12T01:34:16.604955+00:00", "2026-10-12T03:42:57.600894+00:00"]
Last request estimated completion UTC
2026-10-12T03:43:05.536707+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
composite score out of100
99.694444 points /100HH2 SHORT; signed absent credit may be negative before per-haystack floor
present correct
960 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized absent correct
287 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
1 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent signed credit
286 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
286 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
239 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses
1 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning sum correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 SHORT primary requests; excludes qualification and loading
request wall seconds
343.609132 secondsHH2 SHORT primary requests; excludes qualification and loading
native prefill seconds
122.8585 secondsHH2 SHORT primary requests; excludes qualification and loading
native decode seconds
219.7795 secondsHH2 SHORT primary requests; excludes qualification and loading
prompt tokens
178,055 tokensHH2 SHORT primary requests; excludes qualification and loading
prompt read tokens
98,052 tokensHH2 SHORT primary requests; excludes qualification and loading
reused prompt tokens
80,003 tokensHH2 SHORT primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 SHORT primary requests; excludes qualification and loading
generated tokens
22,368 tokensHH2 SHORT primary requests; excludes qualification and loading
median request wall seconds
13.96787 secondsHH2 SHORT primary requests; excludes qualification and loading
median time to first token seconds
4.982093 secondsHH2 SHORT primary requests; excludes qualification and loading
capped requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native aggregate decode tokens per second
101.774733 tokens/sHH2 SHORT primary requests; excludes qualification and loading
minimum input tokens
7,355 tokensHH2 SHORT primary requests; excludes qualification and loading
maximum input tokens
7,484 tokensHH2 SHORT primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

99.69
101.775.73
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 95.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 239, "wrong_value": 1}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 142, "fabricated": 2}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 239, "correct_retrieval_wrong_integer": 1}
Request start range UTC
["2026-10-12T04:08:18.430567+00:00", "2026-10-12T05:54:24.779549+00:00"]
Last request estimated completion UTC
2026-10-12T05:54:31.420644+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
composite score out of100
99.513889 points /100HH2 SHORT; signed absent credit may be negative before per-haystack floor
present correct
959 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized absent correct
286 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
2 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent signed credit
284 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
284 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
239 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses
1 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning sum correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 SHORT primary requests; excludes qualification and loading
request wall seconds
295.260813 secondsHH2 SHORT primary requests; excludes qualification and loading
native prefill seconds
104.7101 secondsHH2 SHORT primary requests; excludes qualification and loading
native decode seconds
189.5484 secondsHH2 SHORT primary requests; excludes qualification and loading
prompt tokens
178,055 tokensHH2 SHORT primary requests; excludes qualification and loading
prompt read tokens
98,052 tokensHH2 SHORT primary requests; excludes qualification and loading
reused prompt tokens
80,003 tokensHH2 SHORT primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 SHORT primary requests; excludes qualification and loading
generated tokens
22,371 tokensHH2 SHORT primary requests; excludes qualification and loading
median request wall seconds
11.946557 secondsHH2 SHORT primary requests; excludes qualification and loading
median time to first token seconds
3.911778 secondsHH2 SHORT primary requests; excludes qualification and loading
capped requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native aggregate decode tokens per second
118.022626 tokens/sHH2 SHORT primary requests; excludes qualification and loading
minimum input tokens
7,355 tokensHH2 SHORT primary requests; excludes qualification and loading
maximum input tokens
7,484 tokensHH2 SHORT primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

99.51
118.024.92
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 95.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 238, "wrong_value": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 141, "fabricated": 3}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 239, "correct_retrieval_wrong_integer": 1}
Request start range UTC
["2026-10-12T06:15:51.338609+00:00", "2026-10-12T08:30:38.475665+00:00"]
Last request estimated completion UTC
2026-10-12T08:30:47.036561+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
composite score out of100
99.333333 points /100HH2 SHORT; signed absent credit may be negative before per-haystack floor
present correct
958 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized absent correct
285 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
3 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent signed credit
282 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
282 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
239 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses
1 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning sum correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 SHORT primary requests; excludes qualification and loading
request wall seconds
349.025096 secondsHH2 SHORT primary requests; excludes qualification and loading
native prefill seconds
127.4568 secondsHH2 SHORT primary requests; excludes qualification and loading
native decode seconds
220.5884 secondsHH2 SHORT primary requests; excludes qualification and loading
prompt tokens
178,055 tokensHH2 SHORT primary requests; excludes qualification and loading
prompt read tokens
98,052 tokensHH2 SHORT primary requests; excludes qualification and loading
reused prompt tokens
80,003 tokensHH2 SHORT primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 SHORT primary requests; excludes qualification and loading
generated tokens
22,374 tokensHH2 SHORT primary requests; excludes qualification and loading
median request wall seconds
14.171707 secondsHH2 SHORT primary requests; excludes qualification and loading
median time to first token seconds
4.985872 secondsHH2 SHORT primary requests; excludes qualification and loading
capped requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native aggregate decode tokens per second
101.428724 tokens/sHH2 SHORT primary requests; excludes qualification and loading
minimum input tokens
7,355 tokensHH2 SHORT primary requests; excludes qualification and loading
maximum input tokens
7,484 tokensHH2 SHORT primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

99.33
101.435.82
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 239, "wrong_value": 1}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 137, "fabricated": 7}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 240}
Request start range UTC
["2026-10-12T13:42:01.238150+00:00", "2026-10-12T14:51:20.045555+00:00"]
Last request estimated completion UTC
2026-10-12T14:51:27.752231+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 SHORT; signed absent credit may be negative before per-haystack floor
composite score out of100
98.986111 points /100HH2 SHORT; signed absent credit may be negative before per-haystack floor
present correct
959 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized absent correct
281 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
7 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent signed credit
274 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
274 credit pointsHH2 SHORT; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 SHORT; signed absent credit may be negative before per-haystack floor
reasoning sum correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 SHORT primary requests; excludes qualification and loading
request wall seconds
265.817595 secondsHH2 SHORT primary requests; excludes qualification and loading
native prefill seconds
74.3752 secondsHH2 SHORT primary requests; excludes qualification and loading
native decode seconds
190.3982 secondsHH2 SHORT primary requests; excludes qualification and loading
prompt tokens
178,055 tokensHH2 SHORT primary requests; excludes qualification and loading
prompt read tokens
98,052 tokensHH2 SHORT primary requests; excludes qualification and loading
reused prompt tokens
80,003 tokensHH2 SHORT primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 SHORT primary requests; excludes qualification and loading
generated tokens
22,386 tokensHH2 SHORT primary requests; excludes qualification and loading
median request wall seconds
11.166869 secondsHH2 SHORT primary requests; excludes qualification and loading
median time to first token seconds
3.028264 secondsHH2 SHORT primary requests; excludes qualification and loading
capped requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 SHORT primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 SHORT primary requests; excludes qualification and loading
native aggregate decode tokens per second
117.574641 tokens/sHH2 SHORT primary requests; excludes qualification and loading
minimum input tokens
7,355 tokensHH2 SHORT primary requests; excludes qualification and loading
maximum input tokens
7,484 tokensHH2 SHORT primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded

98.99
117.574.43
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · 64K input condition

HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks

Read the source
Highest observed score

98.46 / 100

ISTA
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.

5 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next HH2 · 64K input condition. Scores are out of 100; HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 239, "wrong_value": 1}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 138, "fabricated": 6}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 236, "correct_retrieval_wrong_integer": 3, "retrieval_or_binding_mismatch": 1}
Request start range UTC
["2026-10-12T01:34:52.083134+00:00", "2026-10-12T03:42:29.239642+00:00"]
Last request estimated completion UTC
2026-10-12T03:42:37.200121+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 64K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 64K; signed absent credit may be negative before per-haystack floor
composite score out of100
98.458333 points /100HH2 64K; signed absent credit may be negative before per-haystack floor
present correct
959 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized absent correct
282 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
6 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent signed credit
276 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
276 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
236 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses
4 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
57 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 64K primary requests; excludes qualification and loading
request wall seconds
931.714873 secondsHH2 64K primary requests; excludes qualification and loading
native prefill seconds
712.9505 secondsHH2 64K primary requests; excludes qualification and loading
native decode seconds
216.9347 secondsHH2 64K primary requests; excludes qualification and loading
prompt tokens
1,057,395 tokensHH2 64K primary requests; excludes qualification and loading
prompt read tokens
537,722 tokensHH2 64K primary requests; excludes qualification and loading
reused prompt tokens
519,673 tokensHH2 64K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 64K primary requests; excludes qualification and loading
generated tokens
22,383 tokensHH2 64K primary requests; excludes qualification and loading
median request wall seconds
38.892483 secondsHH2 64K primary requests; excludes qualification and loading
median time to first token seconds
29.177055 secondsHH2 64K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 64K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 64K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 64K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 64K primary requests; excludes qualification and loading
native aggregate decode tokens per second
103.178514 tokens/sHH2 64K primary requests; excludes qualification and loading
minimum input tokens
43,964 tokensHH2 64K primary requests; excludes qualification and loading
maximum input tokens
44,142 tokensHH2 64K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

98.46
103.1815.53
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 238, "wrong_value": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 138, "fabricated": 6}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 236, "correct_retrieval_wrong_integer": 4}
Request start range UTC
["2026-10-12T04:08:51.215160+00:00", "2026-10-12T05:54:01.440530+00:00"]
Last request estimated completion UTC
2026-10-12T05:54:08.260766+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 64K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 64K; signed absent credit may be negative before per-haystack floor
composite score out of100
98.416667 points /100HH2 64K; signed absent credit may be negative before per-haystack floor
present correct
958 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized absent correct
282 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
6 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent signed credit
276 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
276 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
236 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses
4 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
57 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 64K primary requests; excludes qualification and loading
request wall seconds
759.644132 secondsHH2 64K primary requests; excludes qualification and loading
native prefill seconds
573.1934 secondsHH2 64K primary requests; excludes qualification and loading
native decode seconds
184.598 secondsHH2 64K primary requests; excludes qualification and loading
prompt tokens
1,057,395 tokensHH2 64K primary requests; excludes qualification and loading
prompt read tokens
537,722 tokensHH2 64K primary requests; excludes qualification and loading
reused prompt tokens
519,673 tokensHH2 64K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 64K primary requests; excludes qualification and loading
generated tokens
22,383 tokensHH2 64K primary requests; excludes qualification and loading
median request wall seconds
29.259002 secondsHH2 64K primary requests; excludes qualification and loading
median time to first token seconds
21.558094 secondsHH2 64K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 64K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 64K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 64K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 64K primary requests; excludes qualification and loading
native aggregate decode tokens per second
121.252668 tokens/sHH2 64K primary requests; excludes qualification and loading
minimum input tokens
43,964 tokensHH2 64K primary requests; excludes qualification and loading
maximum input tokens
44,142 tokensHH2 64K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

98.42
121.2512.66
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 95.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 237, "wrong_value": 2, "false_not_found": 1}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 136, "fabricated": 8}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 237, "correct_retrieval_wrong_integer": 3}
Request start range UTC
["2026-10-12T08:59:30.542007+00:00", "2026-10-12T12:42:27.119967+00:00"]
Last request estimated completion UTC
2026-10-12T12:42:39.359883+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 64K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 64K; signed absent credit may be negative before per-haystack floor
composite score out of100
98.263889 points /100HH2 64K; signed absent credit may be negative before per-haystack floor
present correct
957 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized absent correct
280 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
8 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent signed credit
272 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
272 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
237 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses
3 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
58 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 64K primary requests; excludes qualification and loading
request wall seconds
1,632.066419 secondsHH2 64K primary requests; excludes qualification and loading
native prefill seconds
1,298.7403 secondsHH2 64K primary requests; excludes qualification and loading
native decode seconds
331.5929 secondsHH2 64K primary requests; excludes qualification and loading
prompt tokens
1,057,395 tokensHH2 64K primary requests; excludes qualification and loading
prompt read tokens
537,722 tokensHH2 64K primary requests; excludes qualification and loading
reused prompt tokens
519,673 tokensHH2 64K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 64K primary requests; excludes qualification and loading
generated tokens
22,386 tokensHH2 64K primary requests; excludes qualification and loading
median request wall seconds
65.167933 secondsHH2 64K primary requests; excludes qualification and loading
median time to first token seconds
51.072789 secondsHH2 64K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 64K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 64K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 64K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 64K primary requests; excludes qualification and loading
native aggregate decode tokens per second
67.510493 tokens/sHH2 64K primary requests; excludes qualification and loading
minimum input tokens
43,964 tokensHH2 64K primary requests; excludes qualification and loading
maximum input tokens
44,142 tokensHH2 64K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

98.26
67.5127.20
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 95.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 238, "wrong_value": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 131, "fabricated": 13}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 227, "correct_retrieval_wrong_integer": 11, "retrieval_or_binding_mismatch": 2}
Request start range UTC
["2026-10-12T06:16:29.496420+00:00", "2026-10-12T08:30:08.922266+00:00"]
Last request estimated completion UTC
2026-10-12T08:30:16.966523+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 64K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 64K; signed absent credit may be negative before per-haystack floor
composite score out of100
95.944444 points /100HH2 64K; signed absent credit may be negative before per-haystack floor
present correct
958 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized absent correct
275 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
13 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent signed credit
262 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
262 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
227 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses
13 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
56 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
52 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 64K primary requests; excludes qualification and loading
request wall seconds
968.245836 secondsHH2 64K primary requests; excludes qualification and loading
native prefill seconds
748.3783 secondsHH2 64K primary requests; excludes qualification and loading
native decode seconds
218.1385 secondsHH2 64K primary requests; excludes qualification and loading
prompt tokens
1,057,395 tokensHH2 64K primary requests; excludes qualification and loading
prompt read tokens
537,722 tokensHH2 64K primary requests; excludes qualification and loading
reused prompt tokens
519,673 tokensHH2 64K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 64K primary requests; excludes qualification and loading
generated tokens
22,404 tokensHH2 64K primary requests; excludes qualification and loading
median request wall seconds
38.34736 secondsHH2 64K primary requests; excludes qualification and loading
median time to first token seconds
29.270903 secondsHH2 64K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 64K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 64K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 64K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 64K primary requests; excludes qualification and loading
native aggregate decode tokens per second
102.705391 tokens/sHH2 64K primary requests; excludes qualification and loading
minimum input tokens
43,964 tokensHH2 64K primary requests; excludes qualification and loading
maximum input tokens
44,142 tokensHH2 64K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

95.94
102.7116.14
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 95.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 95.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 94.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 234, "wrong_value": 6}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 120, "fabricated": 24}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 237, "correct_retrieval_wrong_integer": 3}
Request start range UTC
["2026-10-12T13:42:25.264688+00:00", "2026-10-12T14:50:54.940924+00:00"]
Last request estimated completion UTC
2026-10-12T14:51:02.725015+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 64K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 64K; signed absent credit may be negative before per-haystack floor
composite score out of100
95.916667 points /100HH2 64K; signed absent credit may be negative before per-haystack floor
present correct
954 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized absent correct
264 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
24 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
absent signed credit
240 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
240 credit pointsHH2 64K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
237 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses
3 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 64K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
58 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 64K primary requests; excludes qualification and loading
request wall seconds
577.304978 secondsHH2 64K primary requests; excludes qualification and loading
native prefill seconds
384.4309 secondsHH2 64K primary requests; excludes qualification and loading
native decode seconds
191.0211 secondsHH2 64K primary requests; excludes qualification and loading
prompt tokens
1,057,395 tokensHH2 64K primary requests; excludes qualification and loading
prompt read tokens
537,722 tokensHH2 64K primary requests; excludes qualification and loading
reused prompt tokens
519,673 tokensHH2 64K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 64K primary requests; excludes qualification and loading
generated tokens
22,437 tokensHH2 64K primary requests; excludes qualification and loading
median request wall seconds
24.100181 secondsHH2 64K primary requests; excludes qualification and loading
median time to first token seconds
15.909881 secondsHH2 64K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 64K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 64K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 64K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 64K primary requests; excludes qualification and loading
native aggregate decode tokens per second
117.458228 tokens/sHH2 64K primary requests; excludes qualification and loading
minimum input tokens
43,964 tokensHH2 64K primary requests; excludes qualification and loading
maximum input tokens
44,142 tokensHH2 64K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded

95.92
117.469.62
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · 128K input condition

HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks

Read the source
Highest observed score

96.89 / 100

Flash-Next Unsloth
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.

5 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next HH2 · 128K input condition. Scores are out of 100; HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 240}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 136, "fabricated": 8}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 228, "correct_retrieval_wrong_integer": 6, "missing_id": 1, "OUTPUT_UNRESOLVED": 5}
Request start range UTC
["2026-10-12T09:01:52.184729+00:00", "2026-10-12T12:40:09.711881+00:00"]
Last request estimated completion UTC
2026-10-12T12:40:22.780457+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 128K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 128K; signed absent credit may be negative before per-haystack floor
composite score out of100
96.888889 points /100HH2 128K; signed absent credit may be negative before per-haystack floor
present correct
960 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized absent correct
280 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
8 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent signed credit
272 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
272 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
228 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses
12 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
234 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
6 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
54 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
55 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 128K primary requests; excludes qualification and loading
request wall seconds
3,575.826003 secondsHH2 128K primary requests; excludes qualification and loading
native prefill seconds
3,249.3949 secondsHH2 128K primary requests; excludes qualification and loading
native decode seconds
323.2763 secondsHH2 128K primary requests; excludes qualification and loading
prompt tokens
2,500,217 tokensHH2 128K primary requests; excludes qualification and loading
prompt read tokens
1,259,133 tokensHH2 128K primary requests; excludes qualification and loading
reused prompt tokens
1,241,084 tokensHH2 128K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 128K primary requests; excludes qualification and loading
generated tokens
22,389 tokensHH2 128K primary requests; excludes qualification and loading
median request wall seconds
146.459124 secondsHH2 128K primary requests; excludes qualification and loading
median time to first token seconds
132.763965 secondsHH2 128K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 128K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 128K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 128K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 128K primary requests; excludes qualification and loading
native aggregate decode tokens per second
69.256546 tokens/sHH2 128K primary requests; excludes qualification and loading
minimum input tokens
104,067 tokensHH2 128K primary requests; excludes qualification and loading
maximum input tokens
104,249 tokensHH2 128K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

96.89
69.2659.60
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 96.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 95.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 720}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 238, "wrong_value": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 134, "fabricated": 10}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 229, "correct_retrieval_wrong_integer": 9, "retrieval_or_binding_mismatch": 2}
Request start range UTC
["2026-10-12T01:36:14.961325+00:00", "2026-10-12T03:41:10.863604+00:00"]
Last request estimated completion UTC
2026-10-12T03:41:18.885188+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 128K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 128K; signed absent credit may be negative before per-haystack floor
composite score out of100
96.694444 points /100HH2 128K; signed absent credit may be negative before per-haystack floor
present correct
958 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized absent correct
278 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
10 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent signed credit
268 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
268 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
229 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses
11 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
58 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
51 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 128K primary requests; excludes qualification and loading
request wall seconds
2,041.577802 secondsHH2 128K primary requests; excludes qualification and loading
native prefill seconds
1,826.7109 secondsHH2 128K primary requests; excludes qualification and loading
native decode seconds
211.7358 secondsHH2 128K primary requests; excludes qualification and loading
prompt tokens
2,500,217 tokensHH2 128K primary requests; excludes qualification and loading
prompt read tokens
1,259,133 tokensHH2 128K primary requests; excludes qualification and loading
reused prompt tokens
1,241,084 tokensHH2 128K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 128K primary requests; excludes qualification and loading
generated tokens
22,395 tokensHH2 128K primary requests; excludes qualification and loading
median request wall seconds
82.942083 secondsHH2 128K primary requests; excludes qualification and loading
median time to first token seconds
74.141829 secondsHH2 128K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 128K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 128K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 128K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 128K primary requests; excludes qualification and loading
native aggregate decode tokens per second
105.768604 tokens/sHH2 128K primary requests; excludes qualification and loading
minimum input tokens
104,067 tokensHH2 128K primary requests; excludes qualification and loading
maximum input tokens
104,249 tokensHH2 128K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

96.69
105.7734.03
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 94.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 719, "false_not_found": 1}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 238, "wrong_value": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 131, "fabricated": 13}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 225, "retrieval_or_binding_mismatch": 2, "correct_retrieval_wrong_integer": 12, "missing_id": 1}
Request start range UTC
["2026-10-12T04:10:02.695588+00:00", "2026-10-12T05:53:01.530269+00:00"]
Last request estimated completion UTC
2026-10-12T05:53:08.521054+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 128K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 128K; signed absent credit may be negative before per-haystack floor
composite score out of100
95.569444 points /100HH2 128K; signed absent credit may be negative before per-haystack floor
present correct
957 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized absent correct
275 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
13 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent signed credit
262 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
262 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
225 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses
15 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
239 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
1 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
57 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
49 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 128K primary requests; excludes qualification and loading
request wall seconds
1,648.263882 secondsHH2 128K primary requests; excludes qualification and loading
native prefill seconds
1,458.6591 secondsHH2 128K primary requests; excludes qualification and loading
native decode seconds
186.3825 secondsHH2 128K primary requests; excludes qualification and loading
prompt tokens
2,500,217 tokensHH2 128K primary requests; excludes qualification and loading
prompt read tokens
1,259,133 tokensHH2 128K primary requests; excludes qualification and loading
reused prompt tokens
1,241,084 tokensHH2 128K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 128K primary requests; excludes qualification and loading
generated tokens
22,401 tokensHH2 128K primary requests; excludes qualification and loading
median request wall seconds
68.058202 secondsHH2 128K primary requests; excludes qualification and loading
median time to first token seconds
60.161169 secondsHH2 128K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 128K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 128K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 128K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 128K primary requests; excludes qualification and loading
native aggregate decode tokens per second
120.188322 tokens/sHH2 128K primary requests; excludes qualification and loading
minimum input tokens
104,067 tokensHH2 128K primary requests; excludes qualification and loading
maximum input tokens
104,249 tokensHH2 128K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

95.57
120.1927.47
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 93.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 94.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 95.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 95.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 95.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 95.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 719, "false_not_found": 1}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 232, "wrong_value": 8}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 103, "fabricated": 40, "missing": 1}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 230, "correct_retrieval_wrong_integer": 8, "retrieval_or_binding_mismatch": 2}
Request start range UTC
["2026-10-12T13:43:13.960146+00:00", "2026-10-12T14:50:03.380120+00:00"]
Last request estimated completion UTC
2026-10-12T14:50:11.118446+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 128K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 128K; signed absent credit may be negative before per-haystack floor
composite score out of100
92.333333 points /100HH2 128K; signed absent credit may be negative before per-haystack floor
present correct
951 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized absent correct
247 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
40 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent other failures
1 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent signed credit
207 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
207 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
230 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses
10 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,247 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
53 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 128K primary requests; excludes qualification and loading
request wall seconds
1,109.008148 secondsHH2 128K primary requests; excludes qualification and loading
native prefill seconds
912.9029 secondsHH2 128K primary requests; excludes qualification and loading
native decode seconds
192.8723 secondsHH2 128K primary requests; excludes qualification and loading
prompt tokens
2,500,217 tokensHH2 128K primary requests; excludes qualification and loading
prompt read tokens
1,259,133 tokensHH2 128K primary requests; excludes qualification and loading
reused prompt tokens
1,241,084 tokensHH2 128K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 128K primary requests; excludes qualification and loading
generated tokens
22,485 tokensHH2 128K primary requests; excludes qualification and loading
median request wall seconds
45.824152 secondsHH2 128K primary requests; excludes qualification and loading
median time to first token seconds
37.630898 secondsHH2 128K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 128K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 128K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 128K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 128K primary requests; excludes qualification and loading
native aggregate decode tokens per second
116.579727 tokens/sHH2 128K primary requests; excludes qualification and loading
minimum input tokens
104,067 tokensHH2 128K primary requests; excludes qualification and loading
maximum input tokens
104,249 tokensHH2 128K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded

92.33
116.5818.48
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 96.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 719, "wrong_value": 1}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 240}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 143, "fabricated": 1}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 107, "fabricated": 37}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 216, "correct_retrieval_wrong_integer": 21, "retrieval_or_binding_mismatch": 3}
Request start range UTC
["2026-10-12T06:17:56.699002+00:00", "2026-10-12T08:28:49.172849+00:00"]
Last request estimated completion UTC
2026-10-12T08:28:57.178176+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 128K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 128K; signed absent credit may be negative before per-haystack floor
composite score out of100
90.680556 points /100HH2 128K; signed absent credit may be negative before per-haystack floor
present correct
959 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized absent correct
250 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
38 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
absent signed credit
212 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
212 credit pointsHH2 128K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
216 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses
24 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
0 componentsHH2 128K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
54 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
59 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
44 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 128K primary requests; excludes qualification and loading
request wall seconds
2,120.705919 secondsHH2 128K primary requests; excludes qualification and loading
native prefill seconds
1,901.7618 secondsHH2 128K primary requests; excludes qualification and loading
native decode seconds
215.8168 secondsHH2 128K primary requests; excludes qualification and loading
prompt tokens
2,500,217 tokensHH2 128K primary requests; excludes qualification and loading
prompt read tokens
1,259,133 tokensHH2 128K primary requests; excludes qualification and loading
reused prompt tokens
1,241,084 tokensHH2 128K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 128K primary requests; excludes qualification and loading
generated tokens
22,479 tokensHH2 128K primary requests; excludes qualification and loading
median request wall seconds
87.939082 secondsHH2 128K primary requests; excludes qualification and loading
median time to first token seconds
78.76788 secondsHH2 128K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 128K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 128K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 128K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 128K primary requests; excludes qualification and loading
native aggregate decode tokens per second
104.157786 tokens/sHH2 128K primary requests; excludes qualification and loading
minimum input tokens
104,067 tokensHH2 128K primary requests; excludes qualification and loading
maximum input tokens
104,249 tokensHH2 128K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

90.68
104.1635.35
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · 256K input condition

HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks

Read the source
Highest observed score

90.67 / 100

Swift
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.

5 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next HH2 · 256K input condition. Scores are out of 100; HH2 composite:40% present +20% per-haystack floored signed absent credit +40% reasoning; mean across12 haystacks. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 93.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 93.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 96.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 95.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 718, "false_not_found": 2}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 234, "wrong_value": 6}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 126, "fabricated": 18}, "denominator": 144}]
reasoningRecordedFailureClasses
{"OUTPUT_UNRESOLVED": 20, "none": 201, "correct_retrieval_wrong_integer": 15, "missing_id": 3, "retrieval_or_binding_mismatch": 1}
Request start range UTC
["2026-10-12T04:12:23.130510+00:00", "2026-10-12T05:50:43.550094+00:00"]
Last request estimated completion UTC
2026-10-12T05:50:51.209060+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 256K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 256K; signed absent credit may be negative before per-haystack floor
composite score out of100
90.666667 points /100HH2 256K; signed absent credit may be negative before per-haystack floor
present correct
952 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized absent correct
270 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
18 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent signed credit
252 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
252 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
201 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses
39 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
217 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
21 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
48 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
53 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
54 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
46 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 256K primary requests; excludes qualification and loading
request wall seconds
3,647.817519 secondsHH2 256K primary requests; excludes qualification and loading
native prefill seconds
3,451.2173 secondsHH2 256K primary requests; excludes qualification and loading
native decode seconds
190.5868 secondsHH2 256K primary requests; excludes qualification and loading
prompt tokens
5,386,489 tokensHH2 256K primary requests; excludes qualification and loading
prompt read tokens
2,702,269 tokensHH2 256K primary requests; excludes qualification and loading
reused prompt tokens
2,684,220 tokensHH2 256K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 256K primary requests; excludes qualification and loading
generated tokens
22,413 tokensHH2 256K primary requests; excludes qualification and loading
median request wall seconds
145.266993 secondsHH2 256K primary requests; excludes qualification and loading
median time to first token seconds
137.164598 secondsHH2 256K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 256K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 256K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 256K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 256K primary requests; excludes qualification and loading
native aggregate decode tokens per second
117.59996 tokens/sHH2 256K primary requests; excludes qualification and loading
minimum input tokens
224,258 tokensHH2 256K primary requests; excludes qualification and loading
maximum input tokens
224,578 tokensHH2 256K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

90.67
117.6060.80
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 96.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 94.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 95.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 96.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 96.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 718, "false_not_found": 2}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 238, "wrong_value": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 127, "fabricated": 17}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 180, "retrieval_or_binding_mismatch": 5, "correct_retrieval_wrong_integer": 9, "OUTPUT_UNRESOLVED": 45, "missing_id": 1}
Request start range UTC
["2026-10-12T09:06:48.494018+00:00", "2026-10-12T12:35:08.418676+00:00"]
Last request estimated completion UTC
2026-10-12T12:35:21.404853+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 256K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 256K; signed absent credit may be negative before per-haystack floor
composite score out of100
87.472222 points /100HH2 256K; signed absent credit may be negative before per-haystack floor
present correct
956 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized absent correct
271 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
17 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent signed credit
254 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
254 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
180 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses
60 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
194 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
41 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
49 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
47 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
47 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
37 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 256K primary requests; excludes qualification and loading
request wall seconds
7,707.044464 secondsHH2 256K primary requests; excludes qualification and loading
native prefill seconds
7,377.8808 secondsHH2 256K primary requests; excludes qualification and loading
native decode seconds
323.2032 secondsHH2 256K primary requests; excludes qualification and loading
prompt tokens
5,386,489 tokensHH2 256K primary requests; excludes qualification and loading
prompt read tokens
2,702,269 tokensHH2 256K primary requests; excludes qualification and loading
reused prompt tokens
2,684,220 tokensHH2 256K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 256K primary requests; excludes qualification and loading
generated tokens
22,470 tokensHH2 256K primary requests; excludes qualification and loading
median request wall seconds
314.273915 secondsHH2 256K primary requests; excludes qualification and loading
median time to first token seconds
300.414696 secondsHH2 256K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 256K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 256K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 256K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 256K primary requests; excludes qualification and loading
native aggregate decode tokens per second
69.522827 tokens/sHH2 256K primary requests; excludes qualification and loading
minimum input tokens
224,258 tokensHH2 256K primary requests; excludes qualification and loading
maximum input tokens
224,578 tokensHH2 256K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

87.47
69.52128.45
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 95.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 94.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 95.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 95.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 96.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 95.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 718, "false_not_found": 2}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 235, "wrong_value": 4, "false_not_found": 1}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"not_found": 122, "fabricated": 22}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 182, "correct_retrieval_wrong_integer": 13, "OUTPUT_UNRESOLVED": 40, "retrieval_or_binding_mismatch": 5}
Request start range UTC
["2026-10-12T01:39:06.825010+00:00", "2026-10-12T03:38:18.296289+00:00"]
Last request estimated completion UTC
2026-10-12T03:38:26.508881+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 256K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 256K; signed absent credit may be negative before per-haystack floor
composite score out of100
86.986111 points /100HH2 256K; signed absent credit may be negative before per-haystack floor
present correct
953 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized absent correct
266 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
22 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent signed credit
244 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
244 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
182 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses
58 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
200 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
16 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
47 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
48 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
48 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
39 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 256K primary requests; excludes qualification and loading
request wall seconds
4,389.403963 secondsHH2 256K primary requests; excludes qualification and loading
native prefill seconds
4,171.0629 secondsHH2 256K primary requests; excludes qualification and loading
native decode seconds
212.4426 secondsHH2 256K primary requests; excludes qualification and loading
prompt tokens
5,386,489 tokensHH2 256K primary requests; excludes qualification and loading
prompt read tokens
2,702,269 tokensHH2 256K primary requests; excludes qualification and loading
reused prompt tokens
2,684,220 tokensHH2 256K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 256K primary requests; excludes qualification and loading
generated tokens
22,407 tokensHH2 256K primary requests; excludes qualification and loading
median request wall seconds
180.806335 secondsHH2 256K primary requests; excludes qualification and loading
median time to first token seconds
171.821984 secondsHH2 256K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 256K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 256K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 256K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 256K primary requests; excludes qualification and loading
native aggregate decode tokens per second
105.473196 tokens/sHH2 256K primary requests; excludes qualification and loading
minimum input tokens
224,258 tokensHH2 256K primary requests; excludes qualification and loading
maximum input tokens
224,578 tokensHH2 256K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

86.99
105.4773.16
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 94.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 86.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 93.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 93.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 95.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 94.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 95.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 713, "false_not_found": 7}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 224, "wrong_value": 14, "false_not_found": 2}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"missing": 2, "not_found": 91, "fabricated": 51}, "denominator": 144}]
reasoningRecordedFailureClasses
{"retrieval_or_binding_mismatch": 14, "none": 196, "correct_retrieval_wrong_integer": 11, "OUTPUT_UNRESOLVED": 19}
Request start range UTC
["2026-10-12T13:44:47.361808+00:00", "2026-10-12T14:48:27.364325+00:00"]
Last request estimated completion UTC
2026-10-12T14:48:34.353591+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 256K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 256K; signed absent credit may be negative before per-haystack floor
composite score out of100
84.486111 points /100HH2 256K; signed absent credit may be negative before per-haystack floor
present correct
937 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized absent correct
235 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
51 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent other failures
2 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent signed credit
184 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
184 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
196 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses
44 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,246 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
221 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
15 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
47 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
52 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
52 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
45 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 256K primary requests; excludes qualification and loading
request wall seconds
2,191.591393 secondsHH2 256K primary requests; excludes qualification and loading
native prefill seconds
1,994.046 secondsHH2 256K primary requests; excludes qualification and loading
native decode seconds
191.474 secondsHH2 256K primary requests; excludes qualification and loading
prompt tokens
5,386,489 tokensHH2 256K primary requests; excludes qualification and loading
prompt read tokens
2,702,269 tokensHH2 256K primary requests; excludes qualification and loading
reused prompt tokens
2,684,220 tokensHH2 256K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 256K primary requests; excludes qualification and loading
generated tokens
22,497 tokensHH2 256K primary requests; excludes qualification and loading
median request wall seconds
90.694539 secondsHH2 256K primary requests; excludes qualification and loading
median time to first token seconds
82.438512 secondsHH2 256K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 256K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 256K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 256K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 256K primary requests; excludes qualification and loading
native aggregate decode tokens per second
117.493759 tokens/sHH2 256K primary requests; excludes qualification and loading
minimum input tokens
224,258 tokensHH2 256K primary requests; excludes qualification and loading
maximum input tokens
224,578 tokensHH2 256K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded

84.49
117.4936.53
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Separate complete recovery; original incomplete cohort excluded
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2-SCORE-1.0
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
presentRetrievalByDepth
[{"depthBin": "0-10%", "correct": 95.0, "denominator": 96}, {"depthBin": "10-20%", "correct": 95.0, "denominator": 96}, {"depthBin": "20-30%", "correct": 93.0, "denominator": 96}, {"depthBin": "30-40%", "correct": 95.0, "denominator": 96}, {"depthBin": "40-50%", "correct": 96.0, "denominator": 96}, {"depthBin": "50-60%", "correct": 96.0, "denominator": 96}, {"depthBin": "60-70%", "correct": 96.0, "denominator": 96}, {"depthBin": "70-80%", "correct": 95.0, "denominator": 96}, {"depthBin": "80-90%", "correct": 95.0, "denominator": 96}, {"depthBin": "90-100%", "correct": 94.0, "denominator": 96}]
classicByStratum
[{"stratum": "plain_present", "outcomes": {"correct": 717, "false_not_found": 1, "wrong_value": 2}, "denominator": 720}, {"stratum": "confusable_present", "outcomes": {"correct": 233, "wrong_value": 7}, "denominator": 240}, {"stratum": "random_absent", "outcomes": {"not_found": 144}, "denominator": 144}, {"stratum": "near_miss_absent", "outcomes": {"fabricated": 64, "not_found": 80}, "denominator": 144}]
reasoningRecordedFailureClasses
{"none": 184, "correct_retrieval_wrong_integer": 29, "retrieval_or_binding_mismatch": 6, "missing_id": 21}
Request start range UTC
["2026-10-12T06:20:53.119270+00:00", "2026-10-12T08:25:51.799385+00:00"]
Last request estimated completion UTC
2026-10-12T08:26:00.641860+00:00; derived from duration, not an independent timestamp
HH2 method
{"unitOfAnalysis": "generated haystack", "haystacks": 12, "composite": "Mean over 12 haystacks of 100 * (0.4 * presentCorrect/80 + 0.2 * max(0, absentSignedCredit/24) + 0.4 * endToEndReasoningCorrect/20)", "absentCredit": "+1 recognized missing-value response; -1 recognized fabricated numeric value; 0 other failure; floor within each haystack", "reasoningCredit": "Joint ordered value retrieval, binding, arithmetic, and accepted output syntax", "reasoningFailureClassCaveat": "Recorded parser classes describe the frozen grammar; an unresolved whole line does not prove its visible values or arithmetic were wrong. Consult the separate unsupported-syntax count.", "notACombinedCrossBenchmarkScore": true, "timingScope": "Sum of saved request durations; loading, qualification (for primary totals), grading, cleanup, gaps, earlier failed work excluded", "versions": {"aggregator": "HH2-AGG-1.1", "benchmark": "HH-2.0", "classic_parser": "HH2-LENIENT-1.0", "generator": "HH2-GEN-1.0", "manifest": "HH2-MANIFEST-1.1", "prompt": "HH2-PROMPT-1.1", "reasoning_parser": "SEM-PC-1 / PROTO-PIPE-1", "runner": "HH2-RUN-1.1", "scorer": "HH2-SCORE-1.0", "strict_parser": "HH2-STRICT-1.0", "think_strip": "HH2-THINK-1.0"}, "statisticalFamily": {"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}}
All measurements and denominators (45)
haystacks
12 countHH2 256K; signed absent credit may be negative before per-haystack floor
primary requests
24 countHH2 256K; signed absent credit may be negative before per-haystack floor
composite score out of100
81.361111 points /100HH2 256K; signed absent credit may be negative before per-haystack floor
present correct
950 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
present denominator
960 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized absent correct
224 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
recognized numeric fabrications
64 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent denominator
288 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent other failures
0 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
absent signed credit
160 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
absent credit after per haystack floor
160 credit pointsHH2 256K; signed absent credit may be negative before per-haystack floor
end to end reasoning correct
184 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses
56 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic strict syntax compliant
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
classic syntax denominator
1,248 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning pipe syntax compliant
219 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning syntax denominator
240 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning misses with correct visible numbers unsupported syntax
1 componentsHH2 256K; signed absent credit may be negative before per-haystack floor
reasoning sum correct
43 componentsStrict ordered binding, arithmetic and syntax
reasoning sum denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning min correct
53 componentsStrict ordered binding, arithmetic and syntax
reasoning min denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning max correct
53 componentsStrict ordered binding, arithmetic and syntax
reasoning max denominator
60 componentsStrict ordered binding, arithmetic and syntax
reasoning range correct
35 componentsStrict ordered binding, arithmetic and syntax
reasoning range denominator
60 componentsStrict ordered binding, arithmetic and syntax
requests
24 requestsHH2 256K primary requests; excludes qualification and loading
request wall seconds
4,635.982695 secondsHH2 256K primary requests; excludes qualification and loading
native prefill seconds
4,416.9077 secondsHH2 256K primary requests; excludes qualification and loading
native decode seconds
213.1184 secondsHH2 256K primary requests; excludes qualification and loading
prompt tokens
5,386,489 tokensHH2 256K primary requests; excludes qualification and loading
prompt read tokens
2,702,269 tokensHH2 256K primary requests; excludes qualification and loading
reused prompt tokens
2,684,220 tokensHH2 256K primary requests; excludes qualification and loading
requests with prompt reuse
12 requestsHH2 256K primary requests; excludes qualification and loading
generated tokens
21,852 tokensHH2 256K primary requests; excludes qualification and loading
median request wall seconds
188.458093 secondsHH2 256K primary requests; excludes qualification and loading
median time to first token seconds
179.086643 secondsHH2 256K primary requests; excludes qualification and loading
capped requests
0 requestsHH2 256K primary requests; excludes qualification and loading
empty final requests
0 requestsHH2 256K primary requests; excludes qualification and loading
native draft tokens offered
0 tokensHH2 256K primary requests; excludes qualification and loading
native draft tokens accepted
0 tokensHH2 256K primary requests; excludes qualification and loading
native aggregate decode tokens per second
102.534554 tokens/sHH2 256K primary requests; excludes qualification and loading
minimum input tokens
224,258 tokensHH2 256K primary requests; excludes qualification and loading
maximum input tokens
224,578 tokensHH2 256K primary requests; excludes qualification and loading

No statistically separated winner. Composite includes strict output syntax. Original completed cohort

81.36
102.5377.27
—
Descriptive · qualification limitsNo statistically separated winner. Composite includes strict output syntax. Original completed cohort

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · all primary requests

No pooled quality score; separate timing and qualification diagnostics

Read the source
Highest recorded rate

119.25 tok/s

Swift
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2 primary timing
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.

5 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next HH2 · all primary requests. Scores are out of 100; No pooled quality score; separate timing and qualification diagnostics. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 primary timing
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T13:42:01.238150+00:00", "2026-10-12T14:51:20.045555+00:00"]
Last request estimated completion UTC
2026-10-12T14:51:27.752231+00:00; derived from duration, not an independent timestamp
All measurements and denominators (19)
requests
96 requestsHH2 96 primary requests; excludes loading
request wall seconds
4,143.722115 secondsHH2 96 primary requests; excludes loading
native prefill seconds
3,365.755 secondsHH2 96 primary requests; excludes loading
native decode seconds
765.7656 secondsHH2 96 primary requests; excludes loading
prompt tokens
9,122,156 tokensHH2 96 primary requests; excludes loading
prompt read tokens
4,597,176 tokensHH2 96 primary requests; excludes loading
reused prompt tokens
4,524,980 tokensHH2 96 primary requests; excludes loading
requests with prompt reuse
48 requestsHH2 96 primary requests; excludes loading
generated tokens
89,805 tokensHH2 96 primary requests; excludes loading
median request wall seconds
11.205577 secondsHH2 96 primary requests; excludes loading
median time to first token seconds
3.125564 secondsHH2 96 primary requests; excludes loading
capped requests
0 requestsHH2 96 primary requests; excludes loading
empty final requests
0 requestsHH2 96 primary requests; excludes loading
native draft tokens offered
0 tokensHH2 96 primary requests; excludes loading
native draft tokens accepted
0 tokensHH2 96 primary requests; excludes loading
native aggregate decode tokens per second
117.27479 tokens/sHH2 96 primary requests; excludes loading
minimum input tokens
7,355 tokensHH2 96 primary requests; excludes loading
maximum input tokens
224,578 tokensHH2 96 primary requests; excludes loading
retention 256k minus short
-14.5 composite pointsDifference between the 256K-labelled and SHORT primary condition composites; same 12 haystacks

Separate complete recovery; original incomplete cohort excluded

—
117.2769.06
—
Descriptive · qualification limitsSeparate complete recovery; original incomplete cohort excluded
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 primary timing
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T04:08:18.430567+00:00", "2026-10-12T05:54:24.779549+00:00"]
Last request estimated completion UTC
2026-10-12T05:54:31.420644+00:00; derived from duration, not an independent timestamp
All measurements and denominators (19)
requests
96 requestsHH2 96 primary requests; excludes loading
request wall seconds
6,350.986347 secondsHH2 96 primary requests; excludes loading
native prefill seconds
5,587.7799 secondsHH2 96 primary requests; excludes loading
native decode seconds
751.1157 secondsHH2 96 primary requests; excludes loading
prompt tokens
9,122,156 tokensHH2 96 primary requests; excludes loading
prompt read tokens
4,597,176 tokensHH2 96 primary requests; excludes loading
reused prompt tokens
4,524,980 tokensHH2 96 primary requests; excludes loading
requests with prompt reuse
48 requestsHH2 96 primary requests; excludes loading
generated tokens
89,568 tokensHH2 96 primary requests; excludes loading
median request wall seconds
12.065873 secondsHH2 96 primary requests; excludes loading
median time to first token seconds
4.012679 secondsHH2 96 primary requests; excludes loading
capped requests
0 requestsHH2 96 primary requests; excludes loading
empty final requests
0 requestsHH2 96 primary requests; excludes loading
native draft tokens offered
0 tokensHH2 96 primary requests; excludes loading
native draft tokens accepted
0 tokensHH2 96 primary requests; excludes loading
native aggregate decode tokens per second
119.246609 tokens/sHH2 96 primary requests; excludes loading
minimum input tokens
7,355 tokensHH2 96 primary requests; excludes loading
maximum input tokens
224,578 tokensHH2 96 primary requests; excludes loading
retention 256k minus short
-8.847222 composite pointsDifference between the 256K-labelled and SHORT primary condition composites; same 12 haystacks

Original completed cohort

—
119.25105.85
—
Descriptive · qualification limitsOriginal completed cohort
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 primary timing
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T01:34:16.604955+00:00", "2026-10-12T03:42:57.600894+00:00"]
Last request estimated completion UTC
2026-10-12T03:43:05.536707+00:00; derived from duration, not an independent timestamp
All measurements and denominators (19)
requests
96 requestsHH2 96 primary requests; excludes loading
request wall seconds
7,706.305769 secondsHH2 96 primary requests; excludes loading
native prefill seconds
6,833.5828 secondsHH2 96 primary requests; excludes loading
native decode seconds
860.8926 secondsHH2 96 primary requests; excludes loading
prompt tokens
9,122,156 tokensHH2 96 primary requests; excludes loading
prompt read tokens
4,597,176 tokensHH2 96 primary requests; excludes loading
reused prompt tokens
4,524,980 tokensHH2 96 primary requests; excludes loading
requests with prompt reuse
48 requestsHH2 96 primary requests; excludes loading
generated tokens
89,553 tokensHH2 96 primary requests; excludes loading
median request wall seconds
14.50497 secondsHH2 96 primary requests; excludes loading
median time to first token seconds
5.041961 secondsHH2 96 primary requests; excludes loading
capped requests
0 requestsHH2 96 primary requests; excludes loading
empty final requests
0 requestsHH2 96 primary requests; excludes loading
native draft tokens offered
0 tokensHH2 96 primary requests; excludes loading
native draft tokens accepted
0 tokensHH2 96 primary requests; excludes loading
native aggregate decode tokens per second
104.023429 tokens/sHH2 96 primary requests; excludes loading
minimum input tokens
7,355 tokensHH2 96 primary requests; excludes loading
maximum input tokens
224,578 tokensHH2 96 primary requests; excludes loading
retention 256k minus short
-12.708333 composite pointsDifference between the 256K-labelled and SHORT primary condition composites; same 12 haystacks

Original completed cohort

—
104.02128.44
—
Descriptive · qualification limitsOriginal completed cohort
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 primary timing
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T06:15:51.338609+00:00", "2026-10-12T08:30:38.475665+00:00"]
Last request estimated completion UTC
2026-10-12T08:30:47.036561+00:00; derived from duration, not an independent timestamp
All measurements and denominators (19)
requests
96 requestsHH2 96 primary requests; excludes loading
request wall seconds
8,073.959546 secondsHH2 96 primary requests; excludes loading
native prefill seconds
7,194.5046 secondsHH2 96 primary requests; excludes loading
native decode seconds
867.6621 secondsHH2 96 primary requests; excludes loading
prompt tokens
9,122,156 tokensHH2 96 primary requests; excludes loading
prompt read tokens
4,597,176 tokensHH2 96 primary requests; excludes loading
reused prompt tokens
4,524,980 tokensHH2 96 primary requests; excludes loading
requests with prompt reuse
48 requestsHH2 96 primary requests; excludes loading
generated tokens
89,109 tokensHH2 96 primary requests; excludes loading
median request wall seconds
14.171707 secondsHH2 96 primary requests; excludes loading
median time to first token seconds
5.011089 secondsHH2 96 primary requests; excludes loading
capped requests
0 requestsHH2 96 primary requests; excludes loading
empty final requests
0 requestsHH2 96 primary requests; excludes loading
native draft tokens offered
0 tokensHH2 96 primary requests; excludes loading
native draft tokens accepted
0 tokensHH2 96 primary requests; excludes loading
native aggregate decode tokens per second
102.700118 tokens/sHH2 96 primary requests; excludes loading
minimum input tokens
7,355 tokensHH2 96 primary requests; excludes loading
maximum input tokens
224,578 tokensHH2 96 primary requests; excludes loading
retention 256k minus short
-17.972222 composite pointsDifference between the 256K-labelled and SHORT primary condition composites; same 12 haystacks

Original completed cohort

—
102.70134.57
—
Descriptive · qualification limitsOriginal completed cohort
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 primary timing
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T08:58:36.809966+00:00", "2026-10-12T12:43:12.011843+00:00"]
Last request estimated completion UTC
2026-10-12T12:43:24.016027+00:00; derived from duration, not an independent timestamp
All measurements and denominators (19)
requests
96 requestsHH2 96 primary requests; excludes loading
request wall seconds
13,465.274706 secondsHH2 96 primary requests; excludes loading
native prefill seconds
12,144.8619 secondsHH2 96 primary requests; excludes loading
native decode seconds
1,308.5988 secondsHH2 96 primary requests; excludes loading
prompt tokens
9,122,156 tokensHH2 96 primary requests; excludes loading
prompt read tokens
4,597,176 tokensHH2 96 primary requests; excludes loading
reused prompt tokens
4,524,980 tokensHH2 96 primary requests; excludes loading
requests with prompt reuse
48 requestsHH2 96 primary requests; excludes loading
generated tokens
89,610 tokensHH2 96 primary requests; excludes loading
median request wall seconds
22.987916 secondsHH2 96 primary requests; excludes loading
median time to first token seconds
8.663724 secondsHH2 96 primary requests; excludes loading
capped requests
0 requestsHH2 96 primary requests; excludes loading
empty final requests
0 requestsHH2 96 primary requests; excludes loading
native draft tokens offered
0 tokensHH2 96 primary requests; excludes loading
native draft tokens accepted
0 tokensHH2 96 primary requests; excludes loading
native aggregate decode tokens per second
68.477825 tokens/sHH2 96 primary requests; excludes loading
minimum input tokens
7,355 tokensHH2 96 primary requests; excludes loading
maximum input tokens
224,578 tokensHH2 96 primary requests; excludes loading
retention 256k minus short
-12.319444 composite pointsDifference between the 256K-labelled and SHORT primary condition composites; same 12 haystacks

Original completed cohort

—
68.48224.42
—
Descriptive · qualification limitsOriginal completed cohort

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · qualification repeats

No pooled quality score; separate timing and qualification diagnostics

Read the source
Highest recorded rate

112.14 tok/s

Swift
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2 qualification
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.

5 results

Aggregate native decode tokens / native decode seconds; excludes prefill and loading · — = not available

Flash-Next HH2 · qualification repeats. Scores are out of 100; No pooled quality score; separate timing and qualification diagnostics. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 qualification
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T14:52:17.180494+00:00", "2026-10-12T15:02:04.965146+00:00"]
Last request estimated completion UTC
2026-10-12T15:04:57.061935+00:00; derived from duration, not an independent timestamp
Repeat checks
[{"condition": "SHORT", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "SHORT", "task": "reasoning", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "classic", "exactTextTripleAgrees": false, "freshRepeatsAgree": false, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "reasoning", "exactTextTripleAgrees": false, "freshRepeatsAgree": false, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}]
All measurements and denominators (20)
requests
8 requestsHH2 fresh qualification requests; excludes loading
request wall seconds
758.079358 secondsHH2 fresh qualification requests; excludes loading
native prefill seconds
686.1644 secondsHH2 fresh qualification requests; excludes loading
native decode seconds
70.7181 secondsHH2 fresh qualification requests; excludes loading
prompt tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
prompt read tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
reused prompt tokens
0 tokensHH2 fresh qualification requests; excludes loading
requests with prompt reuse
0 requestsHH2 fresh qualification requests; excludes loading
generated tokens
7,445 tokensHH2 fresh qualification requests; excludes loading
median request wall seconds
94.902524 secondsHH2 fresh qualification requests; excludes loading
median time to first token seconds
85.3728 secondsHH2 fresh qualification requests; excludes loading
capped requests
0 requestsHH2 fresh qualification requests; excludes loading
empty final requests
0 requestsHH2 fresh qualification requests; excludes loading
native draft tokens offered
0 tokensHH2 fresh qualification requests; excludes loading
native draft tokens accepted
0 tokensHH2 fresh qualification requests; excludes loading
native aggregate decode tokens per second
105.27715 tokens/sHH2 fresh qualification requests; excludes loading
minimum input tokens
7,355 tokensHH2 fresh qualification requests; excludes loading
maximum input tokens
224,483 tokensHH2 fresh qualification requests; excludes loading
exact repeat triples agreeing
2 triplesExact text, not semantic agreement
repeat triple denominator
4 triplesFour selected checks; not proof of universal determinism

Separate complete recovery; original incomplete cohort excluded

—
105.2812.63
—
Descriptive · qualification limitsSeparate complete recovery; original incomplete cohort excluded
SwiftOff · int8 / int8Captured:
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 qualification
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T05:55:22.921167+00:00", "2026-10-12T06:10:21.905432+00:00"]
Last request estimated completion UTC
2026-10-12T06:14:46.401319+00:00; derived from duration, not an independent timestamp
Repeat checks
[{"condition": "SHORT", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "SHORT", "task": "reasoning", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "reasoning", "exactTextTripleAgrees": false, "freshRepeatsAgree": false, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}]
All measurements and denominators (20)
requests
8 requestsHH2 fresh qualification requests; excludes loading
request wall seconds
1,161.893204 secondsHH2 fresh qualification requests; excludes loading
native prefill seconds
1,094.4746 secondsHH2 fresh qualification requests; excludes loading
native decode seconds
66.254 secondsHH2 fresh qualification requests; excludes loading
prompt tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
prompt read tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
reused prompt tokens
0 tokensHH2 fresh qualification requests; excludes loading
requests with prompt reuse
0 requestsHH2 fresh qualification requests; excludes loading
generated tokens
7,430 tokensHH2 fresh qualification requests; excludes loading
median request wall seconds
143.979226 secondsHH2 fresh qualification requests; excludes loading
median time to first token seconds
134.383786 secondsHH2 fresh qualification requests; excludes loading
capped requests
0 requestsHH2 fresh qualification requests; excludes loading
empty final requests
0 requestsHH2 fresh qualification requests; excludes loading
native draft tokens offered
0 tokensHH2 fresh qualification requests; excludes loading
native draft tokens accepted
0 tokensHH2 fresh qualification requests; excludes loading
native aggregate decode tokens per second
112.144172 tokens/sHH2 fresh qualification requests; excludes loading
minimum input tokens
7,355 tokensHH2 fresh qualification requests; excludes loading
maximum input tokens
224,483 tokensHH2 fresh qualification requests; excludes loading
exact repeat triples agreeing
3 triplesExact text, not semantic agreement
repeat triple denominator
4 triplesFour selected checks; not proof of universal determinism

Original completed cohort

—
112.1419.36
—
Descriptive · qualification limitsOriginal completed cohort
ISTAOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 qualification
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T03:44:02.531756+00:00", "2026-10-12T04:01:47.405847+00:00"]
Last request estimated completion UTC
2026-10-12T04:07:13.699900+00:00; derived from duration, not an independent timestamp
Repeat checks
[{"condition": "SHORT", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "SHORT", "task": "reasoning", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "reasoning", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}]
All measurements and denominators (20)
requests
8 requestsHH2 fresh qualification requests; excludes loading
request wall seconds
1,389.510254 secondsHH2 fresh qualification requests; excludes loading
native prefill seconds
1,314.9133 secondsHH2 fresh qualification requests; excludes loading
native decode seconds
73.4556 secondsHH2 fresh qualification requests; excludes loading
prompt tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
prompt read tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
reused prompt tokens
0 tokensHH2 fresh qualification requests; excludes loading
requests with prompt reuse
0 requestsHH2 fresh qualification requests; excludes loading
generated tokens
7,424 tokensHH2 fresh qualification requests; excludes loading
median request wall seconds
175.227161 secondsHH2 fresh qualification requests; excludes loading
median time to first token seconds
164.530491 secondsHH2 fresh qualification requests; excludes loading
capped requests
0 requestsHH2 fresh qualification requests; excludes loading
empty final requests
0 requestsHH2 fresh qualification requests; excludes loading
native draft tokens offered
0 tokensHH2 fresh qualification requests; excludes loading
native draft tokens accepted
0 tokensHH2 fresh qualification requests; excludes loading
native aggregate decode tokens per second
101.067856 tokens/sHH2 fresh qualification requests; excludes loading
minimum input tokens
7,355 tokensHH2 fresh qualification requests; excludes loading
maximum input tokens
224,483 tokensHH2 fresh qualification requests; excludes loading
exact repeat triples agreeing
4 triplesExact text, not semantic agreement
repeat triple denominator
4 triplesFour selected checks; not proof of universal determinism

Original completed cohort

—
101.0723.16
—
Descriptive · qualification limitsOriginal completed cohort
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 qualification
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T08:31:42.559954+00:00", "2026-10-12T08:51:26.988706+00:00"]
Last request estimated completion UTC
2026-10-12T08:57:27.237483+00:00; derived from duration, not an independent timestamp
Repeat checks
[{"condition": "SHORT", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "SHORT", "task": "reasoning", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "classic", "exactTextTripleAgrees": false, "freshRepeatsAgree": false, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "reasoning", "exactTextTripleAgrees": false, "freshRepeatsAgree": false, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}]
All measurements and denominators (20)
requests
8 requestsHH2 fresh qualification requests; excludes loading
request wall seconds
1,542.987022 secondsHH2 fresh qualification requests; excludes loading
native prefill seconds
1,466.199 secondsHH2 fresh qualification requests; excludes loading
native decode seconds
75.6571 secondsHH2 fresh qualification requests; excludes loading
prompt tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
prompt read tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
reused prompt tokens
0 tokensHH2 fresh qualification requests; excludes loading
requests with prompt reuse
0 requestsHH2 fresh qualification requests; excludes loading
generated tokens
7,451 tokensHH2 fresh qualification requests; excludes loading
median request wall seconds
192.262672 secondsHH2 fresh qualification requests; excludes loading
median time to first token seconds
180.957396 secondsHH2 fresh qualification requests; excludes loading
capped requests
0 requestsHH2 fresh qualification requests; excludes loading
empty final requests
0 requestsHH2 fresh qualification requests; excludes loading
native draft tokens offered
0 tokensHH2 fresh qualification requests; excludes loading
native draft tokens accepted
0 tokensHH2 fresh qualification requests; excludes loading
native aggregate decode tokens per second
98.483817 tokens/sHH2 fresh qualification requests; excludes loading
minimum input tokens
7,355 tokensHH2 fresh qualification requests; excludes loading
maximum input tokens
224,483 tokensHH2 fresh qualification requests; excludes loading
exact repeat triples agreeing
2 triplesExact text, not semantic agreement
repeat triple denominator
4 triplesFour selected checks; not proof of universal determinism

Original completed cohort

—
98.4825.72
—
Descriptive · qualification limitsOriginal completed cohort
Flash-Next UnslothOff · int8 / int8Captured:
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Date precision
Request start bound; derived completion estimate is not an independently recorded completion timestamp
Capture started
Capture timezone
UTC
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
loadedContextTokens
262144
parallelSlots
1
thinking
off
kvCacheK
int8
kvCacheV
int8
prefillBatch
512
residentExpertBudgetGiB
60
vramReserveMiB
3072
poolWorkers
16
mtpDraftTokens
0
suffixDraftTokens
0
lookupChain
0
nativeVerifierCapacity
2
outputLimitTokens
16384
nativeSlackTokens
8
sampler
{"frequency_penalty": 0, "min_p": 0, "presence_penalty": 0, "repetition_penalty": 1, "seed": 5090, "temperature": 0, "top_k": 20, "top_p": 1}
Benchmark version
HH2 qualification
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Request start range UTC
["2026-10-12T12:44:24.907958+00:00", "2026-10-12T13:18:17.671863+00:00"]
Last request estimated completion UTC
2026-10-12T13:29:23.818358+00:00; derived from duration, not an independent timestamp
Repeat checks
[{"condition": "SHORT", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "SHORT", "task": "reasoning", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "classic", "exactTextTripleAgrees": true, "freshRepeatsAgree": true, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}, {"condition": "256K", "task": "reasoning", "exactTextTripleAgrees": false, "freshRepeatsAgree": false, "identicalPromptParametersAndBody": true, "freshReusedPromptTokens": [0, 0]}]
All measurements and denominators (20)
requests
8 requestsHH2 fresh qualification requests; excludes loading
request wall seconds
2,697.291235 secondsHH2 fresh qualification requests; excludes loading
native prefill seconds
2,588.3762 secondsHH2 fresh qualification requests; excludes loading
native decode seconds
107.7694 secondsHH2 fresh qualification requests; excludes loading
prompt tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
prompt read tokens
927,352 tokensHH2 fresh qualification requests; excludes loading
reused prompt tokens
0 tokensHH2 fresh qualification requests; excludes loading
requests with prompt reuse
0 requestsHH2 fresh qualification requests; excludes loading
generated tokens
7,424 tokensHH2 fresh qualification requests; excludes loading
median request wall seconds
330.014865 secondsHH2 fresh qualification requests; excludes loading
median time to first token seconds
311.39143 secondsHH2 fresh qualification requests; excludes loading
capped requests
0 requestsHH2 fresh qualification requests; excludes loading
empty final requests
0 requestsHH2 fresh qualification requests; excludes loading
native draft tokens offered
0 tokensHH2 fresh qualification requests; excludes loading
native draft tokens accepted
0 tokensHH2 fresh qualification requests; excludes loading
native aggregate decode tokens per second
68.887829 tokens/sHH2 fresh qualification requests; excludes loading
minimum input tokens
7,355 tokensHH2 fresh qualification requests; excludes loading
maximum input tokens
224,483 tokensHH2 fresh qualification requests; excludes loading
exact repeat triples agreeing
3 triplesExact text, not semantic agreement
repeat triple denominator
4 triplesFour selected checks; not proof of universal determinism

Original completed cohort

—
68.8944.95
—
Descriptive · qualification limitsOriginal completed cohort

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · paired accuracy uncertainty

No pooled quality score; signed model A minus model B effect with multiplicity-aware uncertainty

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2 paired statistics
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.

10 results

Not applicable to statistical summaries · — = not available

Flash-Next HH2 · paired accuracy uncertainty. Scores are out of 100; No pooled quality score; signed model A minus model B effect with multiplicity-aware uncertainty. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Coder vs ISTAOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: ISTA
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-2.5 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.567871 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-8.486111 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
10.375017 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Coder vs SwiftOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Swift Qwen3.8-Flash-Next IQ3_XXS

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: Swift
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-6.180556 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.213867 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-18.472292 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
7.263889 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Coder vs OrcaRouterOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: OrcaRouter
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
3.125 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.483887 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-10.319444 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
14.375 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Coder vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-2.986111 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.590332 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-17.972222 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
12.111111 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
ISTA vs SwiftOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S versus Swift Qwen3.8-Flash-Next IQ3_XXS

ISTA Qwen3.8-Flash-Next IQ3_S versus Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: ISTA; model B: Swift
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-3.680556 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.493164 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-19.388941 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
13.250017 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
ISTA vs OrcaRouterOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

ISTA Qwen3.8-Flash-Next IQ3_S versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: ISTA; model B: OrcaRouter
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
5.625 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.371094 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-13.125 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
21.888906 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
ISTA vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

ISTA Qwen3.8-Flash-Next IQ3_S versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: ISTA; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-0.486111 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.881348 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-19.402795 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
17.583351 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Swift vs OrcaRouterOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Swift Qwen3.8-Flash-Next IQ3_XXS versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Swift; model B: OrcaRouter
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
9.305556 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.043945 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
0.878906 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-3.319462 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
21.694479 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Swift vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Swift Qwen3.8-Flash-Next IQ3_XXS versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Swift; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
3.194444 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.585938 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-13.027795 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
18.986128 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
OrcaRouter vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

OrcaRouter Qwen3.8-Flash-Next IQ3_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: OrcaRouter; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled condition composite
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-6.111111 composite pointsPaired accuracy endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.269531 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired accuracy endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired accuracy endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-20.333385 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
10.041667 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

Flash-Next long context / Original captures October 2026; reviewed 21 October

Flash-Next HH2 · paired retention uncertainty

No pooled quality score; signed model A minus model B effect with multiplicity-aware uncertainty

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
Strata native · version not recorded
Runtime / extension
Strata 0.1.40
Benchmark
HH2 paired statistics
Context capacity
262,144 tokens loaded
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.

10 results

Not applicable to statistical summaries · — = not available

Flash-Next HH2 · paired retention uncertainty. Scores are out of 100; No pooled quality score; signed model A minus model B effect with multiplicity-aware uncertainty. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
Coder vs ISTAOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: ISTA
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-1.791667 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.708496 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-8.041667 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
10.777778 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Coder vs SwiftOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Swift Qwen3.8-Flash-Next IQ3_XXS

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: Swift
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-5.652778 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.271973 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-18.138889 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
7.680573 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Coder vs OrcaRouterOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: OrcaRouter
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
3.472222 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.449707 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-10.236146 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
14.777778 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Coder vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

ISTA Coder Qwen3.8-Flash-Next IQ1_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Coder; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-2.180556 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.717285 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-17.375017 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
12.736128 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
ISTA vs SwiftOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S versus Swift Qwen3.8-Flash-Next IQ3_XXS

ISTA Qwen3.8-Flash-Next IQ3_S versus Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: ISTA; model B: Swift
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-3.861111 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.480469 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-19.694444 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
13.166667 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
ISTA vs OrcaRouterOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

ISTA Qwen3.8-Flash-Next IQ3_S versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: ISTA; model B: OrcaRouter
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
5.263889 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.405273 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-13.402795 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
21.625052 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
ISTA vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

ISTA Qwen3.8-Flash-Next IQ3_S versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: ISTA; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-0.388889 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.908691 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-19.305556 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
17.555608 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Swift vs OrcaRouterOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Swift Qwen3.8-Flash-Next IQ3_XXS versus OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Swift; model B: OrcaRouter
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
9.125 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.053223 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-3.458351 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
21.694444 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
Swift vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Swift Qwen3.8-Flash-Next IQ3_XXS versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: Swift; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
3.472222 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.495117 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-12.833333 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
19.138889 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.
OrcaRouter vs Flash-Next UnslothOff · int8 / int8Captured: Not recorded
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

OrcaRouter Qwen3.8-Flash-Next IQ3_M versus Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture timezone
Not recorded
Application / version
Strata native · version not recorded
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Five Flash-Next packages only. 480 primary requests plus 40 qualification. All 20 pairwise comparisons remain HOLD; no separated winner. Four models have repeat failures. Earlier approximately 240K diagnostic NOT RUN. Context 262144, actual longest input approximately 224K. Coder uses selected complete recovery. Twelve paired haystacks; exact sign-flip and 100,000 seeded cluster bootstrap resamples.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
0
Comparison
Model A: OrcaRouter; model B: Flash-Next Unsloth
Scope
Derived from primary HH2 captures; not another run
Benchmark version
HH2 paired statistics
Context capacity
262,144 tokens loaded
MTP
Per model and cohort; see recorded settings
Statistical decision
not separated
Qualification decision
HOLD
Endpoint
256K-labelled minus SHORT composite, then model A minus model B
Statistical family
{"tests": 20, "endpoints": ["accuracy", "retention"], "alpha": 0.05, "holmTests": true, "bonferroniIntervalTails": true, "practicalMarginPoints": 2, "bootstrapSeed": 5090, "bootstrapReplicates": 100000}
All measurements and denominators (8)
paired difference points
-5.652778 composite pointsPaired retention endpoint; Holm correction across all 20 declared comparisons
raw sign flip p
0.313477 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
holm adjusted p
1 probabilityPaired retention endpoint; Holm correction across all 20 declared comparisons
haystacks
12 countPaired retention endpoint; Holm correction across all 20 declared comparisons
sign flip assignments
4,096 countPaired retention endpoint; Holm correction across all 20 declared comparisons
bootstrap replicates
100,000 countPaired retention endpoint; Holm correction across all 20 declared comparisons
simultaneous approximate interval lower
-20.125017 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks
simultaneous approximate interval upper
10.847222 composite pointsCluster bootstrap simultaneous approximate interval; same 12 haystacks

All comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

—
——
—
Descriptive · qualification limitsAll comparisons HOLD. No statistically separated pair. Effects are model A minus model B.

Flash-Next refusal study / Original captures October 2026; reviewed 21 October

Flash-Next XBench · provisional graded subsets

No overall score; read class-specific provisional refusal and usefulness metrics

Read the source
Highest recorded rate

143.73 tok/s

Coder
Test captured
2026-10-12 to 2026-10-12 UTC; per-result timestamps belowStage or answer dates in result details
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp (Prism fork) b10709-9a9394a89
Benchmark
XBench original full300 / original per-answer rubric
Context capacity
32,768 tokens
Thinking
Off
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

900 targets;756 usable grades;144 ungraded. 300 row IDs but169 unique texts. One uncalibrated gpt-oss-safeguard-20b MXFP4 judge, medium reasoning, context65536/output32768. No full-suite semantic score. Subset percentages do not estimate missing responses. Strict refusal and weighted success are different.

3 results

Aggregate native target decode tokens / native target decode seconds; excludes judge, prefill and loading · — = not available

Flash-Next XBench · provisional graded subsets. Scores are out of 100; No overall score; read class-specific provisional refusal and usefulness metrics. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
CoderOff · int8 / int8Captured:
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
900 targets;756 usable grades;144 ungraded. 300 row IDs but169 unique texts. One uncalibrated gpt-oss-safeguard-20b MXFP4 judge, medium reasoning, context65536/output32768. No full-suite semantic score. Subset percentages do not estimate missing responses. Strict refusal and weighted success are different.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Temperature
0
Top-p
1
Requested top-k
0
Runtime-normalized top-k
64
Min-p
0
Seed
5090
Presence penalty
0
Frequency penalty
0
Repetition penalty
1
Repeat window
64
Prompt cache
Disabled
Resident expert ceiling GiB
60
VRAM reserve GiB
8
GPU expert cache
Automatic
KV cache
int8
CPU pool workers
16
Prefill batch tokens
512
Maximum MTP draft tokens
2
Verification window
3
Adaptive swaps
96
Adaptive interval windows
4
Unbuffered model loading
Enabled
Version evidence
Application version from matched retained release lineage; engine from native readback.
Judge context / output
65536 /32768
Benchmark version
XBench original full300 / original per-answer rubric
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Judge
gpt-oss-safeguard-20b MXFP4; uncalibrated; no independent full-run crosscheck
Ungraded reasons
{"primary_invalid_or_missing": 13}
Target issues
{"output_capped": 1}
Target timing estimators
Sum(native predicted_n) / (sum(native predicted_ms) /1000), not mean per-response rate. Linear interpolation at rank0.95*(N-1).
Target finish reasons
{"stop": 299, "length": 1}
Time to first content
Not recorded in the aggregate capture request fields used here.
Cap definition
Recorded finishReason length; no assignment from missing judge grades.
All measurements and denominators (64)
captured
300 responsesComplete300 target captures; original usable judgments only
eligible
299 responsesComplete300 target captures; original usable judgments only
gradeable
286 responsesComplete300 target captures; original usable judgments only
ungraded
14 responsesComplete300 target captures; original usable judgments only
coverage pct
95.333333 %Complete300 target captures; original usable judgments only
unique bank texts
169 texts300 IDs; row-weighted results
should refuse scheduled
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse eligible
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse gradeable
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse ungraded
0 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse coverage pct
100 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse strict refusals
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse strict refusal pct among graded
100 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse success points
150 pointsshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse weighted success pct among graded
100 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse safe partial count
0 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse unsafe count
0 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse behavior refuse
150 responsesOriginal single-judge labels among usable grades
should refuse weighted missingness bound minimum
100 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should refuse weighted missingness bound maximum
100 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should answer scheduled
150 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer eligible
149 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer gradeable
136 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer ungraded
14 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer coverage pct
90.666667 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer strict refusals
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer strict refusal pct among graded
0 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer success points
135 pointsshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer weighted success pct among graded
99.264706 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer safe partial count
2 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer unsafe count
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer behavior comply
134 responsesOriginal single-judge labels among usable grades
should answer behavior partial
2 responsesOriginal single-judge labels among usable grades
should answer weighted missingness bound minimum
90 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should answer weighted missingness bound maximum
99.333333 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
target requests
300 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds total
1,493.345365 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall minutes total
24.889089 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds mean
4.977818 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds median
3.944021 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds p95
11.046236 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds min
0.433369 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds max
77.489196 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prefill seconds total
54.3387 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prefill minutes total
0.905645 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode seconds total
1,430.9887 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode minutes total
23.849812 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prompt tokens
7,723 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode tokens
205,676 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native cached prompt tokens
0 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target aggregate native decode tokens per second
143.729996 tokens/sAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target aggregate native prefill tokens per second
142.127066 tokens/sAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens mean
685.586667 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens median
460.5 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens min
38 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens max
16,384 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native timing available requests
300 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target capped responses
1 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target empty final responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target capped and empty responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft tokens offered
143,308 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft tokens accepted
106,651 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft token acceptance rate pct
74.420828 %All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target time to first content seconds
Unavailable All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.

286/300 usable grades; 14 ungraded. Not a safety certification. Timing covers all 300 targets, including ungraded cases; excludes judge inference.

—
143.7324.89
—
Provisional · incomplete grading286/300 usable grades; 14 ungraded. Not a safety certification. Timing covers all 300 targets, including ungraded cases; excludes judge inference.
OrcaRouterOff · int8 / int8Captured:
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
900 targets;756 usable grades;144 ungraded. 300 row IDs but169 unique texts. One uncalibrated gpt-oss-safeguard-20b MXFP4 judge, medium reasoning, context65536/output32768. No full-suite semantic score. Subset percentages do not estimate missing responses. Strict refusal and weighted success are different.
Thinking
Off
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Context tokens
32768
Output cap tokens
16384
Temperature
0
Top-p
1
Requested top-k
0
Runtime-normalized top-k
64
Min-p
0
Seed
5090
Presence penalty
0
Frequency penalty
0
Repetition penalty
1
Repeat window
64
Prompt cache
Disabled
Resident expert ceiling GiB
60
VRAM reserve GiB
8
GPU expert cache
Automatic
KV cache
int8
CPU pool workers
16
Prefill batch tokens
512
Maximum MTP draft tokens
2
Verification window
3
Adaptive swaps
96
Adaptive interval windows
1
Unbuffered model loading
Enabled
Version evidence
Application version from matched retained release lineage; engine from native readback.
Judge context / output
65536 /32768
Benchmark version
XBench original full300 / original per-answer rubric
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Judge
gpt-oss-safeguard-20b MXFP4; uncalibrated; no independent full-run crosscheck
Ungraded reasons
{"primary_invalid_or_missing": 67, "primary_internal_inconsistency": 1}
Target issues
{}
Target timing estimators
Sum(native predicted_n) / (sum(native predicted_ms) /1000), not mean per-response rate. Linear interpolation at rank0.95*(N-1).
Target finish reasons
{"stop": 300}
Time to first content
Not recorded in the aggregate capture request fields used here.
Cap definition
Recorded finishReason length; no assignment from missing judge grades.
All measurements and denominators (65)
captured
300 responsesComplete300 target captures; original usable judgments only
eligible
300 responsesComplete300 target captures; original usable judgments only
gradeable
232 responsesComplete300 target captures; original usable judgments only
ungraded
68 responsesComplete300 target captures; original usable judgments only
coverage pct
77.333333 %Complete300 target captures; original usable judgments only
unique bank texts
169 texts300 IDs; row-weighted results
should refuse scheduled
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse eligible
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse gradeable
96 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse ungraded
54 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse coverage pct
64 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse strict refusals
7 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse strict refusal pct among graded
7.291667 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse success points
10 pointsshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse weighted success pct among graded
10.416667 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse safe partial count
6 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse unsafe count
83 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse behavior comply
81 responsesOriginal single-judge labels among usable grades
should refuse behavior partial
8 responsesOriginal single-judge labels among usable grades
should refuse behavior refuse
7 responsesOriginal single-judge labels among usable grades
should refuse weighted missingness bound minimum
6.666667 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should refuse weighted missingness bound maximum
42.666667 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should answer scheduled
150 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer eligible
150 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer gradeable
136 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer ungraded
14 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer coverage pct
90.666667 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer strict refusals
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer strict refusal pct among graded
0 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer success points
136 pointsshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer weighted success pct among graded
100 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer safe partial count
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer unsafe count
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer behavior comply
136 responsesOriginal single-judge labels among usable grades
should answer weighted missingness bound minimum
90.666667 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should answer weighted missingness bound maximum
100 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
target requests
300 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds total
4,904.447413 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall minutes total
81.74079 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds mean
16.348158 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds median
16.82063 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds p95
26.792659 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds min
4.319972 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds max
32.891279 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prefill seconds total
191.6933 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prefill minutes total
3.194888 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode seconds total
4,704.685 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode minutes total
78.411417 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prompt tokens
7,723 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode tokens
332,617 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native cached prompt tokens
0 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target aggregate native decode tokens per second
70.699101 tokens/sAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target aggregate native prefill tokens per second
40.288315 tokens/sAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens mean
1,108.723333 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens median
1,121 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens min
212 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens max
2,315 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native timing available requests
300 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target capped responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target empty final responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target capped and empty responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft tokens offered
245,833 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft tokens accepted
173,828 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft token acceptance rate pct
70.709791 %All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target time to first content seconds
Unavailable All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.

232/300 usable grades; 68 ungraded. Not a safety certification. Timing covers all 300 targets, including ungraded cases; excludes judge inference.

—
70.7081.74
—
Provisional · incomplete grading232/300 usable grades; 68 ungraded. Not a safety certification. Timing covers all 300 targets, including ungraded cases; excludes judge inference.
27B UncensoredOff · Q8_0 / Q8_0Captured:
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Date precision
Selected request start/finish bounds; includes gaps, not summed duration
Capture started
Capture finished
Capture timezone
UTC
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp (Prism fork) b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
900 targets;756 usable grades;144 ungraded. 300 row IDs but169 unique texts. One uncalibrated gpt-oss-safeguard-20b MXFP4 judge, medium reasoning, context65536/output32768. No full-suite semantic score. Subset percentages do not estimate missing responses. Strict refusal and weighted success are different.
Thinking
Off
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Context tokens
32768
Output cap tokens
16384
Temperature
0
Top-p
1
Requested top-k
0
Runtime-normalized top-k
0
Min-p
0
Seed
5090
Presence penalty
0
Frequency penalty
0
Repetition penalty
1
Repeat window
64
Prompt cache
Disabled
K cache
q8_0
V cache
q8_0
GPU layers requested
All supported
Flash attention
On
MTP/speculation
Disabled
Batch size
1024
Microbatch size
256
Parallel slots
1
Context shifting
Disabled
Version evidence
Native readback and recorded launch.
Judge context / output
65536 /32768
Benchmark version
XBench original full300 / original per-answer rubric
Context capacity
32,768 tokens
MTP
Per model and cohort; see recorded settings
Judge
gpt-oss-safeguard-20b MXFP4; uncalibrated; no independent full-run crosscheck
Ungraded reasons
{"primary_invalid_or_missing": 62}
Target issues
{}
Target timing estimators
Sum(native predicted_n) / (sum(native predicted_ms) /1000), not mean per-response rate. Linear interpolation at rank0.95*(N-1).
Target finish reasons
{"stop": 300}
Time to first content
Not recorded in the aggregate capture request fields used here.
Cap definition
Recorded finishReason length; no assignment from missing judge grades.
All measurements and denominators (63)
captured
300 responsesComplete300 target captures; original usable judgments only
eligible
300 responsesComplete300 target captures; original usable judgments only
gradeable
238 responsesComplete300 target captures; original usable judgments only
ungraded
62 responsesComplete300 target captures; original usable judgments only
coverage pct
79.333333 %Complete300 target captures; original usable judgments only
unique bank texts
169 texts300 IDs; row-weighted results
should refuse scheduled
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse eligible
150 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse gradeable
102 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse ungraded
48 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse coverage pct
68 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse strict refusals
0 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse strict refusal pct among graded
0 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse success points
0 pointsshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse weighted success pct among graded
0 %should-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse safe partial count
0 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse unsafe count
102 responsesshould-refuse; denominator is gradeable unless scheduled explicitly stated
should refuse behavior comply
102 responsesOriginal single-judge labels among usable grades
should refuse weighted missingness bound minimum
0 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should refuse weighted missingness bound maximum
32 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should answer scheduled
150 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer eligible
150 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer gradeable
136 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer ungraded
14 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer coverage pct
90.666667 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer strict refusals
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer strict refusal pct among graded
0 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer success points
136 pointsshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer weighted success pct among graded
100 %should-answer; denominator is gradeable unless scheduled explicitly stated
should answer safe partial count
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer unsafe count
0 responsesshould-answer; denominator is gradeable unless scheduled explicitly stated
should answer behavior comply
136 responsesOriginal single-judge labels among usable grades
should answer weighted missingness bound minimum
90.666667 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
should answer weighted missingness bound maximum
100 %Arithmetic bound across all150 scheduled class rows; not confidence interval or score
target requests
300 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds total
5,656.829411 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall minutes total
94.28049 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds mean
18.856098 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds median
18.14574 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds p95
31.446344 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds min
3.736941 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target request wall seconds max
85.676489 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prefill seconds total
28.246168 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prefill minutes total
0.470769 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode seconds total
5,587.662467 secondsAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode minutes total
93.127708 minutesAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native prompt tokens
7,723 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native decode tokens
434,656 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native cached prompt tokens
0 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target aggregate native decode tokens per second
77.788521 tokens/sAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target aggregate native prefill tokens per second
273.417619 tokens/sAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens mean
1,448.853333 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens median
1,387 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens min
273 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target output tokens max
6,588 tokensAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target native timing available requests
300 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target capped responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target empty final responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target capped and empty responses
0 countAll300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft tokens offered
Unavailable All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft tokens accepted
Unavailable All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target draft token acceptance rate pct
Unavailable All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.
target time to first content seconds
Unavailable All300 target captures including capped/empty outcomes; excludes judge requests, loading, qualification and campaign overhead.

238/300 usable grades; 62 ungraded. Not a safety certification. Timing covers all 300 targets, including ungraded cases; excludes judge inference.

—
77.7994.28
—
Provisional · incomplete grading238/300 usable grades; 62 ungraded. Not a safety certification. Timing covers all 300 targets, including ungraded cases; excludes judge inference.

Flash-Next methods / Original captures October 2026; reviewed 21 October

Flash-Next · tested package identities and runtime

No benchmark score; package storage and representative expert allocation are different quantities

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
Strata 0.1.40.1Prism llama.cpp b10709
Runtime / extension
Strata 0.1.40llama.cpp Prism fork b10709-9a9394a89
Benchmark
Package and hardware metadata
Context capacity
Per cohort; see exact test records
Thinking
Per cohort
MTP
Per model and cohort; see recorded settings
K / V cache
Strata int8 or Prism Q8 K/V; see each result

Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.

7 results

Not applicable; use per-suite native timings · — = not available

Flash-Next · tested package identities and runtime. Scores are out of 100; No benchmark score; package storage and representative expert allocation are different quantities. Time basis: Summed request minutes.
Model & configurationScore / 100Generation tok/sSummed request minutesMemory see basisEvidence
CoderPer cohort · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Coder Qwen3.8-Flash-Next IQ1_M

ISTA Coder Qwen3.8-Flash-Next IQ1_M

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Identity scope
Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF
Recorded publisher revision
5348543e0147355ac9cbcb031184a3546350988e
Recorded publisher card
https://huggingface.co/ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF/blob/5348543e0147355ac9cbcb031184a3546350988e/README.md
Target file identities
[{"repositoryPath": "IQ1_M/Qwen3.8-Flash-Next-GSQ-RCO-IQ1_M-00001-of-00002.gguf", "bytes": 29608446496, "recordedSha256": "e11083ba855e7666b48ea3f2db6a9c3a20c18751a012cc24f948de91b7087fad"}, {"repositoryPath": "IQ1_M/Qwen3.8-Flash-Next-GSQ-RCO-IQ1_M-00002-of-00002.gguf", "bytes": 28800138432, "recordedSha256": "316b46f3a2dbd68c900f43136ab9449f9dcc3725dfd8c794847c204bc161e113"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 32768, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
Haystack 96K Off configuration
{"suite": "Haystack 96K Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 98304, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
All measurements and denominators (8)
target gguf package bytes
58,408,584,928 bytesTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
target gguf package gib
54.397234 GiBTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
quant bench context tokens
32,768 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench gpu expert cache gi b
21.4 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench pinned expert ram gi b
2.02 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy context tokens
98,304 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy gpu expert cache gi b
20.45 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy pinned expert ram gi b
2.97 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.

Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.

—
——
—
Recorded configurationRecorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
SwiftPer cohort · int8 / int8Captured: Not recorded
Capture, runtime & configuration for Swift Qwen3.8-Flash-Next IQ3_XXS

Swift Qwen3.8-Flash-Next IQ3_XXS

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Identity scope
Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
ukisai/Swift-1.5-Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Recorded publisher revision
b22d729eae29b5796f76fb70f91aef549b9fc52c
Recorded publisher card
https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-Flash-Next-GSQ-RCO-GGUF/blob/b22d729eae29b5796f76fb70f91aef549b9fc52c/README.md
Target file identities
[{"repositoryPath": "Swift-Qwen3.8-Flash-Next-GSQ-RCO-IQ3_XXS-00001-of-00002.gguf", "bytes": 39785790560, "recordedSha256": "3bddaa667c750f63baca766df9433e1afd35a139f401c5ca5e7ff560ceff3d23"}, {"repositoryPath": "Swift-Qwen3.8-Flash-Next-GSQ-RCO-IQ3_XXS-00002-of-00002.gguf", "bytes": 36180282560, "recordedSha256": "b0b15f782af71eb471909d2f3313b2927c324962f86c084325c247cd411a0160"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 32768, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
Haystack 96K Off configuration
{"suite": "Haystack 96K Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 98304, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
All measurements and denominators (8)
target gguf package bytes
75,966,073,120 bytesTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
target gguf package gib
70.748919 GiBTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
quant bench context tokens
32,768 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench gpu expert cache gi b
21.68 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench pinned expert ram gi b
18.28 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy context tokens
98,304 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy gpu expert cache gi b
20.72 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy pinned expert ram gi b
19.24 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.

Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.

—
——
—
Recorded configurationRecorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
ISTAPer cohort · int8 / int8Captured: Not recorded
Capture, runtime & configuration for ISTA Qwen3.8-Flash-Next IQ3_S

ISTA Qwen3.8-Flash-Next IQ3_S

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Identity scope
Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Recorded publisher revision
ed59f92082b1e93c0e96d60a8b11aab089b52f09
Recorded publisher card
https://huggingface.co/ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF/blob/ed59f92082b1e93c0e96d60a8b11aab089b52f09/README.md
Target file identities
[{"repositoryPath": "IQ3_S/Qwen3.8-Flash-Next-GSQ-RCO-IQ3_S-00001-of-00002.gguf", "bytes": 54817524224, "recordedSha256": "4c1eb2ceb4915e1192f4f386021897bde56a97f40a0bb78bb86465e0f7d2aca3"}, {"repositoryPath": "IQ3_S/Qwen3.8-Flash-Next-GSQ-RCO-IQ3_S-00002-of-00002.gguf", "bytes": 28800138432, "recordedSha256": "316b46f3a2dbd68c900f43136ab9449f9dcc3725dfd8c794847c204bc161e113"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 32768, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
Haystack 96K Off configuration
{"suite": "Haystack 96K Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 98304, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
All measurements and denominators (8)
target gguf package bytes
83,617,662,656 bytesTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
target gguf package gib
77.875017 GiBTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
quant bench context tokens
32,768 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench gpu expert cache gi b
21.34 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench pinned expert ram gi b
25.49 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy context tokens
98,304 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy gpu expert cache gi b
20.52 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy pinned expert ram gi b
26.32 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.

Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.

—
——
—
Recorded configurationRecorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
OrcaRouterPer cohort · int8 / int8Captured: Not recorded
Capture, runtime & configuration for OrcaRouter Qwen3.8-Flash-Next IQ3_M

OrcaRouter Qwen3.8-Flash-Next IQ3_M

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
int8 / int8
MTP draft tokens
Up to 2
Identity scope
Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF
Recorded publisher revision
e43d00f4e2b8b40b89f75e9adeb1045ac34c8acc
Recorded publisher card
https://huggingface.co/orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF/blob/e43d00f4e2b8b40b89f75e9adeb1045ac34c8acc/README.md
Target file identities
[{"repositoryPath": "Qwen3.8-Flash-Next-Uncensored-IQ3_M-00001-of-00002.gguf", "bytes": 44706357824, "recordedSha256": "eb0c528143e6a5d6f2ba6b73a5ea62ca76dc3e51fe9bef74d61939edaf55549c"}, {"repositoryPath": "Qwen3.8-Flash-Next-Uncensored-IQ3_M-00002-of-00002.gguf", "bytes": 44834460608, "recordedSha256": "720c880f3ebbb3a314e71ec123b4e0cef6493719bedfaa5f147d6de60418443f"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 32768, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 1, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
Haystack 96K Off configuration
{"suite": "Haystack 96K Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 98304, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": true, "maximumMtpDraftTokens": 2, "configuredPrefill": "512", "configuredSpecWindow": 3, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 1, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
All measurements and denominators (8)
target gguf package bytes
89,540,818,432 bytesTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
target gguf package gib
83.391386 GiBTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
quant bench context tokens
32,768 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench gpu expert cache gi b
21.97 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench pinned expert ram gi b
31.94 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy context tokens
98,304 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy gpu expert cache gi b
21.14 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy pinned expert ram gi b
32.76 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.

Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.

—
——
—
Recorded configurationRecorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
Flash-Next UnslothPer cohort · int8 / int8Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Unsloth Qwen3.8-Flash-Next UD-Q4_K_XL

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Strata 0.1.40.1
Inference engine / build
Strata 0.1.40
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
int8 / int8
MTP draft tokens
0
Identity scope
Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Recorded Strata release source revision
82f46a8c8f475f001ad76d92f58f4a4f8ffb0253
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
unsloth/Qwen3.8-Flash-Next-GGUF
Recorded publisher revision
38bb39ee97821de2c9009abb7e93950eec396e66
Recorded publisher card
https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF/blob/38bb39ee97821de2c9009abb7e93950eec396e66/README.md
Target file identities
[{"repositoryPath": "UD-Q4_K_XL/Qwen3.8-Flash-Next-UD-Q4_K_XL-00001-of-00004.gguf", "bytes": 10946624, "recordedSha256": "4448186216b3af4cc558bbce2c3213f01608f8f8b2e5267a9767971dd3ec8082"}, {"repositoryPath": "UD-Q4_K_XL/Qwen3.8-Flash-Next-UD-Q4_K_XL-00002-of-00004.gguf", "bytes": 49859583136, "recordedSha256": "3f342f1c1580473f1ee94ddd5b28206e8c07a70fa1a366f59d1d6c922919a6c9"}, {"repositoryPath": "UD-Q4_K_XL/Qwen3.8-Flash-Next-UD-Q4_K_XL-00003-of-00004.gguf", "bytes": 49376141504, "recordedSha256": "56758f40269cad5cd9b0d3d6fbae0f40f6d5be6de49e4ab392dbe83157d9cbd3"}, {"repositoryPath": "UD-Q4_K_XL/Qwen3.8-Flash-Next-UD-Q4_K_XL-00004-of-00004.gguf", "bytes": 12087983520, "recordedSha256": "753bda48b98ba4f1636134a90a967de1b2d3908a236c026e464777342e53510a"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 32768, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": false, "maximumMtpDraftTokens": 0, "configuredPrefill": "auto", "configuredSpecWindow": 2, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
Haystack 96K Off configuration
{"suite": "Haystack 96K Off", "runtime": "Strata", "version": "0.1.40.1", "engineBuild": "Strata 0.1.40", "contextTokens": 98304, "residentExpertBudgetGiB": 60, "automaticGpuExpertCache": true, "vramReserveGiB": 3, "kvCache": "int8", "cpuPoolWorkers": 16, "mtpEnabled": false, "maximumMtpDraftTokens": 0, "configuredPrefill": "auto", "configuredSpecWindow": 2, "adaptiveSwapCount": 96, "adaptiveEveryWindows": 4, "sampling": {"temperature": 0.7, "top_p": 0.8, "top_k": 20, "min_p": 0, "presence_penalty": 1.5, "frequency_penalty": 0, "repetition_penalty": 1, "penalty_last_n": 64, "seed": 5090, "experimental_speed_projection": false}, "configurationScope": "Representative main Off suite; later HH2 and other cohorts must retain their own settings."}
All measurements and denominators (8)
target gguf package bytes
111,334,654,784 bytesTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
target gguf package gib
103.688477 GiBTarget GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
quant bench context tokens
32,768 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench gpu expert cache gi b
21.23 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
quant bench pinned expert ram gi b
50.5 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy context tokens
98,304 tokensRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy gpu expert cache gi b
20.49 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.
legacy pinned expert ram gi b
51.23 GiBRepresentative native startup expert allocations, rounded by the native logger; not total VRAM or whole-process RAM.

Recorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.

—
——
—
Recorded configurationRecorded publisher inventory and native preparation/capture receipts; installed weights were not rehashed in this review. Target GGUF shards; excludes runtime packs, draft/MTP files and runtime memory.
27B UncensoredPer cohort · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

JonathanColetti Qwen3.8-27B Uncensored Q4_K_M

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Identity scope
Recorded local file bytes and SHA256 bound to native capture configuration; publisher revision not recorded here.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF
Recorded publisher revision
Not recorded
Recorded publisher card
Not available
Target file identities
[{"filename": "Qwen3.8-27B-Uncensored-Q4_K_M.gguf", "bytes": 16810714528, "recordedSha256": "4c5e2db039e9325ac7724c8846c71356a24ad1cdfa28002d73ecb6be645f9675"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Prism llama.cpp", "engineBuild": "b10709-9a9394a89", "contextTokens": 32768, "kvCacheK": "q8_0", "kvCacheV": "q8_0", "allSupportedGpuLayersRequested": true, "mtpEnabled": false, "maximumMtpDraftTokens": 0, "flashAttentionRequested": true, "configurationScope": "Representative main Off suite; other cohorts must retain their own settings."}
All measurements and denominators (2)
target gguf package bytes
16,810,714,528 bytesTarget GGUF file, excluding runtime memory.
target gguf package gib
15.656198 GiBTarget GGUF file, excluding runtime memory.

Recorded local file bytes and SHA256 bound to native capture configuration; publisher revision not recorded here. Target GGUF file, excluding runtime memory.

—
——
—
Recorded configurationRecorded local file bytes and SHA256 bound to native capture configuration; publisher revision not recorded here. Target GGUF file, excluding runtime memory.
27B StandardPer cohort · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B Standard UD-Q6_K

Unsloth Qwen3.8-27B Standard UD-Q6_K

Test captured
Not recorded
Date precision
Package/configuration metadata, not a separate inference cohort
Capture timezone
Not recorded
Application / version
Prism llama.cpp b10709
Inference engine / build
llama.cpp Prism fork b10709-9a9394a89
OS / environment
Intel Core i9-13900K; RTX 5090 32 GB; 128 GiB RAM
GPU driver version
Not recorded for this capture
CUDA runtime version
Not recorded for this capture
Comparison scope
Recorded package identities; installed weights were not rehashed during this review. Coder predates October17 update. RAM observed October11, not contemporaneous telemetry for every test.
Thinking
Per cohort
K / V cache
Q8_0 / Q8_0
MTP draft tokens
0
Identity scope
Recorded local file bytes and SHA256 bound to native capture configuration; publisher revision not recorded here.
Hardware observation UTC
2026-10-11T05:13:54.2663128Z
Benchmark version
Package and hardware metadata
Context capacity
Per cohort; see exact test records
MTP
Per model and cohort; see recorded settings
Publisher repository
unsloth/Qwen3.8-27B-GGUF
Recorded publisher revision
Not recorded
Recorded publisher card
Not available
Target file identities
[{"filename": "Qwen3.8-27B-UD-Q6_K.gguf", "bytes": 21983677344, "recordedSha256": "c9c206812fbe4ac7b76a729e25928b63f2ae89d37f69da7a71c20aec763cd436"}]
Hardware observation
{"cpu": "Intel Core i9-13900K", "cpuCores": 24, "cpuLogicalProcessors": 32, "gpu": "NVIDIA GeForce RTX 5090", "gpuMarketedVramGB": 32, "installedRamGiB": 128, "ramModuleCount": 4, "ramModuleGiB": 32, "ramConfiguredSpeedMTs": 4800, "ramObservationUtc": "2026-10-11T05:13:54.2663128Z", "observationScope": "Read-only hardware observation during evidence packaging, not contemporaneous benchmark telemetry"}
QuantBench Off configuration
{"suite": "QuantBench Off", "runtime": "Prism llama.cpp", "engineBuild": "b10709-9a9394a89", "contextTokens": 32768, "kvCacheK": "q8_0", "kvCacheV": "q8_0", "allSupportedGpuLayersRequested": true, "mtpEnabled": false, "maximumMtpDraftTokens": 0, "flashAttentionRequested": true, "configurationScope": "Representative main Off suite; other cohorts must retain their own settings."}
All measurements and denominators (2)
target gguf package bytes
21,983,677,344 bytesTarget GGUF file, excluding runtime memory.
target gguf package gib
20.473895 GiBTarget GGUF file, excluding runtime memory.

Recorded local file bytes and SHA256 bound to native capture configuration; publisher revision not recorded here. Target GGUF file, excluding runtime memory.

—
——
—
Recorded configurationRecorded local file bytes and SHA256 bound to native capture configuration; publisher revision not recorded here. Target GGUF file, excluding runtime memory.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Compass3 Off

Compass3 Off

Read the source
Highest observed score

99.00 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Compass3
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Compass3 Off. Scores are out of 100; Compass3 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Compass3
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -1.0 [-2.7, +0.7] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

99.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Compass3
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -1.0 [-2.7, +0.7] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

98.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Compass3X Off

Compass3X Off

Read the source
Highest observed score

91.70 / 100

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Compass3X
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Compass3X Off. Scores are out of 100; Compass3X · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Compass3X
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen +2.0 [-1.3, +5.3] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

91.70
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Compass3X
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen +2.0 [-1.3, +5.3] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

89.70
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Evidence-to-Action Off

Evidence-to-Action Off

Read the source
Highest observed score

73.10 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Evidence-to-Action evidence18
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Evidence-to-Action Off. Scores are out of 100; Evidence-to-Action evidence18 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Evidence-to-Action evidence18
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.
Paired verdict
Qwen ahead; Bolt minus Qwen -31.2 [-42.9, -19.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

73.10
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Evidence-to-Action evidence18
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.
Paired verdict
Qwen ahead; Bolt minus Qwen -31.2 [-42.9, -19.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

42.00
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · QuantBench Off, five passes

QuantBench Off, five passes

Read the source
Highest observed score

57.40 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
QuantBench same 50 questions, seeds 5090–5094
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · QuantBench Off, five passes. Scores are out of 100; QuantBench same 50 questions, seeds 5090–5094 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
QuantBench same 50 questions, seeds 5090–5094
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.
Paired verdict
Qwen ahead; Bolt minus Qwen -13.0 [-18.7, -7.4] percentage points, 95% interval
All measurements and denominators (5)
seed 5090
54.3 score / 100Same 50 questions, thinking off
seed 5091
58.5 score / 100Same 50 questions, thinking off
seed 5092
58.9 score / 100Same 50 questions, thinking off
seed 5093
56.6 score / 100Same 50 questions, thinking off
seed 5094
58.5 score / 100Same 50 questions, thinking off

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.

57.40
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
QuantBench same 50 questions, seeds 5090–5094
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.
Paired verdict
Qwen ahead; Bolt minus Qwen -13.0 [-18.7, -7.4] percentage points, 95% interval
All measurements and denominators (5)
seed 5090
40.3 score / 100Same 50 questions, thinking off
seed 5091
44.3 score / 100Same 50 questions, thinking off
seed 5092
46.3 score / 100Same 50 questions, thinking off
seed 5093
46 score / 100Same 50 questions, thinking off
seed 5094
45.2 score / 100Same 50 questions, thinking off

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.

44.40
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Same 50 questions, five seeds; no added independent questions.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · ShellGame Off

ShellGame Off

Read the source
Highest observed score

12.50 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
ShellGame 200
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · ShellGame Off. Scores are out of 100; ShellGame 200 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
ShellGame 200
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -1.5 [-7.0, +4.0] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

12.50
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
ShellGame 200
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -1.5 [-7.0, +4.0] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

11.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · SimonSays Off

SimonSays Off

Read the source
Highest observed score

54.40 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
SimonSays five banks, 1000 items
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · SimonSays Off. Scores are out of 100; SimonSays five banks, 1000 items · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
SimonSays five banks, 1000 items
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -2.7 [-5.6, +0.2] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

54.40
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
SimonSays five banks, 1000 items
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -2.7 [-5.6, +0.2] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

51.70
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Mirage neutral Off, format-confounded

Mirage neutral Off, format-confounded

Read the source
Highest observed score

82.80 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Mirage neutral 300
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Mirage neutral Off, format-confounded. Scores are out of 100; Mirage neutral 300 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Mirage neutral 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.
Paired verdict
Qwen ahead; Bolt minus Qwen -74.1 [-81.1, -66.6] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

82.80
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Mirage neutral 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.
Paired verdict
Qwen ahead; Bolt minus Qwen -74.1 [-81.1, -66.6] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

8.70
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Mirage pressure Off, format-confounded

Mirage pressure Off, format-confounded

Read the source
Highest observed score

82.60 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Mirage pressure 300
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Mirage pressure Off, format-confounded. Scores are out of 100; Mirage pressure 300 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Mirage pressure 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.
Paired verdict
Qwen ahead; Bolt minus Qwen -28.2 [-35.2, -21.6] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

82.60
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Mirage pressure 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.
Paired verdict
Qwen ahead; Bolt minus Qwen -28.2 [-35.2, -21.6] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

54.40
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. FORMAT-CONFOUNDED: template echo failure; not a measured hallucination rate.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Ops repair Off

Ops repair Off

Read the source
Highest observed score

6.00 / 8

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Ops-Repo-Repair eight tasks
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Ops repair Off. Scores are out of 8; Ops-Repo-Repair eight tasks · paired solved count. Time basis: Not aggregated.
Model & configurationScore / 8Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Ops-Repo-Repair eight tasks
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

6.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Ops-Repo-Repair eight tasks
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

6.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Compass3X xHigh, 60-item subset

Compass3X xHigh, 60-item subset

Read the source
Highest observed score

100.00 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Compass3X 60-item subset
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Compass3X xHigh, 60-item subset. Scores are out of 100; Compass3X 60-item subset · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
Compass3X 60-item subset
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -1.7 [-5.0, +0.0] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

100.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Compass3X 60-item subset
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -1.7 [-5.0, +0.0] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

98.30
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Evidence-to-Action xHigh, official 16K cap

Evidence-to-Action xHigh, official 16K cap

Read the source
Highest observed score

98.50 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Evidence-to-Action evidence18
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Evidence-to-Action xHigh, official 16K cap. Scores are out of 100; Evidence-to-Action evidence18 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
Evidence-to-Action evidence18
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.
Paired verdict
tied; Bolt minus Qwen -15.4 [-32.7, +0.0] percentage points, 95% interval
All measurements and denominators (1)
citation accuracy
96 percentOfficial xHigh, 16K output cap

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.

98.50
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Evidence-to-Action evidence18
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.
Paired verdict
tied; Bolt minus Qwen -15.4 [-32.7, +0.0] percentage points, 95% interval
All measurements and denominators (1)
citation accuracy
71.9 percentOfficial xHigh, 16K output cap

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.

83.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Official 16,384-token cap. Bolt capped on 3/18 requests; do not substitute the 32K diagnostic.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · QuantBench xHigh, one pass

QuantBench xHigh, one pass

Read the source
Highest observed score

80.60 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
QuantBench same 50 questions, seed 5090
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · QuantBench xHigh, one pass. Scores are out of 100; QuantBench same 50 questions, seed 5090 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
QuantBench same 50 questions, seed 5090
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.
Paired verdict
tied; Bolt minus Qwen -9.0 [-18.9, +0.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.

80.60
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
QuantBench same 50 questions, seed 5090
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.
Paired verdict
tied; Bolt minus Qwen -9.0 [-18.9, +0.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.

71.60
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. One pass only; additional thinking-on passes not run. On/Off differences descriptive because Qwen samplers differ.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · ShellGame xHigh, 40-item subset

ShellGame xHigh, 40-item subset

Read the source
Highest observed score

100.00 / 100

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
ShellGame 40-item subset
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · ShellGame xHigh, 40-item subset. Scores are out of 100; ShellGame 40-item subset · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
ShellGame 40-item subset
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen +5.0 [+0.0, +12.5] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

100.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
ShellGame 40-item subset
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen +5.0 [+0.0, +12.5] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

95.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Mirage neutral xHigh

Mirage neutral xHigh

Read the source
Highest observed score

82.50 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Mirage neutral 300
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Mirage neutral xHigh. Scores are out of 100; Mirage neutral 300 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
Mirage neutral 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.
Paired verdict
Qwen ahead; Bolt minus Qwen -4.8 [-9.4, -0.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

82.50
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Mirage neutral 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.
Paired verdict
Qwen ahead; Bolt minus Qwen -4.8 [-9.4, -0.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

77.70
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Mirage pressure xHigh

Mirage pressure xHigh

Read the source
Highest observed score

74.20 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Mirage pressure 300
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Mirage pressure xHigh. Scores are out of 100; Mirage pressure 300 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
Mirage pressure 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -4.7 [-10.3, +0.8] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

74.20
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Mirage pressure 300
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking.
Paired verdict
tied; Bolt minus Qwen -4.7 [-10.3, +0.8] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking.

69.50
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · LiveCodeBench xHigh, first 70

LiveCodeBench xHigh, first 70

Read the source
Highest observed score

47.00 / 70

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
LiveCodeBench v6, first 70 of 175 in frozen order
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · LiveCodeBench xHigh, first 70. Scores are out of 70; LiveCodeBench v6, first 70 of 175 in frozen order · paired solved count. Time basis: Not aggregated.
Model & configurationScore / 70Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
LiveCodeBench v6, first 70 of 175 in frozen order
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.
All measurements and denominators (2)
out of budget
17 problemsFirst 70, still thinking at 32K cap
wrong code
6 problemsFirst 70

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.

47.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
LiveCodeBench v6, first 70 of 175 in frozen order
Context capacity
65,536 tokens
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.
All measurements and denominators (2)
out of budget
19 problemsFirst 70, still thinking at 32K cap
wrong code
5 problemsFirst 70

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.

46.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Outcome-blind time-based cutoff; nonrandom first 70. 32K output cap. Bolt 17 and Qwen 19 out of budget; wrong code 6 and 5.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · HH-2.0 32K, primary six haystacks

HH-2.0 32K, primary six haystacks

Read the source
Highest observed score

97.40 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
HH2-1.0 frozen profile
Context capacity
32K context tier
Thinking
Off; deterministic HH2 profile
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · HH-2.0 32K, primary six haystacks. Scores are out of 100; HH2-1.0 frozen profile · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
32K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
32K context tier
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Paired verdict
Qwen ahead; Bolt minus Qwen -3.8 [-7.4, -0.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

97.40
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Bolt 74B-A9BOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
32K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
32K context tier
MTP
Off
Interpretation
Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Paired verdict
Qwen ahead; Bolt minus Qwen -3.8 [-7.4, -0.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

93.70
——
—
CompleteOfficial primary comparison. Qwen ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · HH-2.0 64K, primary six haystacks

HH-2.0 64K, primary six haystacks

Read the source
Highest observed score

96.00 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
HH2-1.0 frozen profile
Context capacity
64K context tier
Thinking
Off; deterministic HH2 profile
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · HH-2.0 64K, primary six haystacks. Scores are out of 100; HH2-1.0 frozen profile · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
64K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
64K context tier
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Paired verdict
tied; Bolt minus Qwen -3.3 [-8.0, +1.7] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

96.00
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Bolt 74B-A9BOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
64K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
64K context tier
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Paired verdict
tied; Bolt minus Qwen -3.3 [-8.0, +1.7] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

92.70
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · HH-2.0 128K, primary six haystacks

HH-2.0 128K, primary six haystacks

Read the source
Highest observed score

89.30 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
HH2-1.0 frozen profile
Context capacity
128K context tier
Thinking
Off; deterministic HH2 profile
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · HH-2.0 128K, primary six haystacks. Scores are out of 100; HH2-1.0 frozen profile · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
128K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
128K context tier
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Paired verdict
tied; Bolt minus Qwen -4.4 [-16.5, +12.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

89.30
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Bolt 74B-A9BOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
128K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
128K context tier
MTP
Off
Interpretation
Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.
Paired verdict
tied; Bolt minus Qwen -4.4 [-16.5, +12.1] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

84.90
——
—
CompleteOfficial primary comparison. tied. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · HH-2.0 256K, primary six haystacks

HH-2.0 256K, primary six haystacks

Read the source
Highest observed score

79.40 / 100

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
HH2-1.0 frozen profile
Context capacity
256K context tier
Thinking
Off; deterministic HH2 profile
MTP
Off
K / V cache
Q8_0 / Q8_0

Official primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · HH-2.0 256K, primary six haystacks. Scores are out of 100; HH2-1.0 frozen profile · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
256K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
256K context tier
MTP
Off
Interpretation
Official primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.
Paired verdict
Bolt ahead; Bolt minus Qwen +14.3 [+1.9, +25.5] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.

79.40
——
—
CompleteOfficial primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.
Qwen3.8-27B UD-Q6_KOff; deterministic HH2 profile · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
256K context tier
Thinking
Off; deterministic HH2 profile
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0; top-p 1; top-k 20; min-p 0
Benchmark version
HH2-1.0 frozen profile
Context capacity
256K context tier
MTP
Off
Interpretation
Official primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.
Paired verdict
Bolt ahead; Bolt minus Qwen +14.3 [+1.9, +25.5] percentage points, 95% interval
All measurements and denominators (0)

Official primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.

65.20
——
—
CompleteOfficial primary comparison. Bolt ahead. Each test retains its own verdict; no composite ranking. Six haystacks per tier; Classic cold, paired Reasoning reuses cached haystack prefix. Primary result; the later eight-haystack extension is post hoc. Qwen micro-batch 256; native micro-batch 512 failed the 1 GiB headroom rule.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · E2A xHigh, 32K-cap DIAGNOSTIC

E2A xHigh, 32K-cap DIAGNOSTIC

Read the source
Highest observed score

98.50 / 100

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Evidence-to-Action evidence18
Context capacity
65,536 tokens
Thinking
xHigh
MTP
Off
K / V cache
Q8_0 / Q8_0

DIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · E2A xHigh, 32K-cap DIAGNOSTIC. Scores are out of 100; Evidence-to-Action evidence18 · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
enable_thinking=true, medium_effort=false; no reasoning preserve
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Evidence-to-Action evidence18
Context capacity
65,536 tokens
MTP
Off
Interpretation
DIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.
All measurements and denominators (1)
citation accuracy
86.1 percent32K-cap diagnostic; official 16K results stay primary

DIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.

98.50
——
—
CompleteDIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.
Qwen3.8-27B UD-Q6_KxHigh · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
xHigh
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Effort
reasoning_effort=xhigh; enable_thinking=true; preserve_thinking=true
Sampling
temp 1; top-p 0.95; top-k 20; min-p 0; presence 0; repeat 1
Benchmark version
Evidence-to-Action evidence18
Context capacity
65,536 tokens
MTP
Off
Interpretation
DIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.
All measurements and denominators (1)
citation accuracy
96 percent32K-cap diagnostic; official 16K results stay primary

DIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.

98.50
——
—
CompleteDIAGNOSTIC SENSITIVITY: official cap is 16,384. Decisions tied; citations Qwen ahead. Only the output cap changed to 32,768.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Mirage neutral, post hoc lower-bound DIAGNOSTIC

Mirage neutral, post hoc lower-bound DIAGNOSTIC

Read the source
Highest observed score

82.80 / 100

Qwen3.8-27B UD-Q6_K
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Mirage neutral lower-bound normalization
Context capacity
65,536 tokens
Thinking
Off
MTP
Off
K / V cache
Q8_0 / Q8_0

Post hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · Mirage neutral, post hoc lower-bound DIAGNOSTIC. Scores are out of 100; Mirage neutral lower-bound normalization · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Qwen3.8-27B UD-Q6_KOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 0.7; top-p 0.8; top-k 20; min-p 0; presence 1.5; repeat 1
Benchmark version
Mirage neutral lower-bound normalization
Context capacity
65,536 tokens
MTP
Off
Interpretation
Post hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.
All measurements and denominators (0)

Post hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.

82.80
——
—
CompletePost hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.
Bolt 74B-A9BOff · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Off
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Sampling
temp 1; top-p 0.95; top-k 40; min-p 0.05; presence 0; repeat 1
Benchmark version
Mirage neutral lower-bound normalization
Context capacity
65,536 tokens
MTP
Off
Interpretation
Post hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.
All measurements and denominators (0)

Post hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.

71.20
——
—
CompletePost hoc lower-bound DIAGNOSTIC; official score unchanged. Only echoed verdict lines normalized. Qwen ahead overall; fake resistance tied.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Native decoding

Native decoding

Read the source
Highest recorded rate

154.40 tok/s

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
SPEED-Bench qualitative coding, 80 conversations, 89 turns
Context capacity
65,536 tokens
Thinking
Profile-specific; read speed conditions
MTP
Off
K / V cache
Q8_0 / Q8_0

Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

2 results

Mean decode tokens/s, SPEED-Bench qualitative coding · — = not available

Bolt vs Qwen · Native decoding. Scores are out of 100; SPEED-Bench qualitative coding, 80 conversations, 89 turns · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BProfile-specific; read speed conditions · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Profile-specific; read speed conditions
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Speculative decoding
Off
Request output cap
8,192 tokens per turn
Benchmark version
SPEED-Bench qualitative coding, 80 conversations, 89 turns
Context capacity
65,536 tokens
MTP
Off
Interpretation
Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.
All measurements and denominators (2)
conversation time
14.6 secondsMean conversation wall time; not task correctness
tokens per conversation
2,221 tokensMean

Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

—
154.40—
—
CompleteServing performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.
Qwen3.8-27B UD-Q6_KProfile-specific; read speed conditions · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Profile-specific; read speed conditions
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Speculative decoding
Off
Request output cap
8,192 tokens per turn
Benchmark version
SPEED-Bench qualitative coding, 80 conversations, 89 turns
Context capacity
65,536 tokens
MTP
Off
Interpretation
Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.
All measurements and denominators (2)
conversation time
73.9 secondsMean conversation wall time; not task correctness
tokens per conversation
4,608 tokensMean

Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

—
62.70—
—
CompleteServing performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · Both accelerated

Both accelerated

Read the source
Highest recorded rate

347.90 tok/s

Bolt 74B-A9B
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
SPEED-Bench qualitative coding, 80 conversations, 89 turns
Context capacity
65,536 tokens
Thinking
Profile-specific; read speed conditions
MTP
Bolt LiLiCorr n=7; Qwen DFlash2 n=5
K / V cache
Q8_0 / Q8_0

Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

2 results

Mean decode tokens/s, SPEED-Bench qualitative coding · — = not available

Bolt vs Qwen · Both accelerated. Scores are out of 100; SPEED-Bench qualitative coding, 80 conversations, 89 turns · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BProfile-specific; read speed conditions · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Profile-specific; read speed conditions
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Speculative decoding
LiLiCorr draft 7
Request output cap
8,192 tokens per turn
Benchmark version
SPEED-Bench qualitative coding, 80 conversations, 89 turns
Context capacity
65,536 tokens
MTP
Bolt LiLiCorr n=7; Qwen DFlash2 n=5
Interpretation
Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.
All measurements and denominators (1)
conversation time
7.7 secondsMean conversation wall time; not task correctness

Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

—
347.90—
—
CompleteServing performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.
Qwen3.8-27B UD-Q6_KProfile-specific; read speed conditions · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
65,536 tokens
Thinking
Profile-specific; read speed conditions
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Speculative decoding
DFlash2 draft 5
Request output cap
8,192 tokens per turn
Benchmark version
SPEED-Bench qualitative coding, 80 conversations, 89 turns
Context capacity
65,536 tokens
MTP
Bolt LiLiCorr n=7; Qwen DFlash2 n=5
Interpretation
Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.
All measurements and denominators (1)
conversation time
36 secondsMean conversation wall time; not task correctness

Serving performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

—
127.10—
—
CompleteServing performance only, content not graded; cap-hit turns included. Compare native with native or both accelerated. Not time to a correct answer.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · 64K minimum free VRAM

64K minimum free VRAM

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Text-only native context fit
Context capacity
64K context tier
Thinking
Native context qualification
MTP
Off
K / V cache
Q8_0 / Q8_0

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · 64K minimum free VRAM. Scores are out of 100; Text-only native context fit · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BNative context qualification · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
64K context tier
Thinking
Native context qualification
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Benchmark version
Text-only native context fit
Context capacity
64K context tier
MTP
Off
Interpretation
Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Minimum free device VRAM
9.4 GiB
All measurements and denominators (1)
minimum free device vram
9.4 GiBMinimum headroom during measured native profile

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

—
——
—
CompleteMinimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Qwen3.8-27B UD-Q6_KNative context qualification · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
64K context tier
Thinking
Native context qualification
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Benchmark version
Text-only native context fit
Context capacity
64K context tier
MTP
Off
Interpretation
Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Minimum free device VRAM
8.2 GiB
All measurements and denominators (1)
minimum free device vram
8.2 GiBMinimum headroom during measured native profile

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

—
——
—
CompleteMinimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · 128K minimum free VRAM

128K minimum free VRAM

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Text-only native context fit
Context capacity
128K context tier
Thinking
Native context qualification
MTP
Off
K / V cache
Q8_0 / Q8_0

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · 128K minimum free VRAM. Scores are out of 100; Text-only native context fit · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BNative context qualification · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
128K context tier
Thinking
Native context qualification
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Benchmark version
Text-only native context fit
Context capacity
128K context tier
MTP
Off
Interpretation
Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Minimum free device VRAM
9.0 GiB
All measurements and denominators (1)
minimum free device vram
9 GiBMinimum headroom during measured native profile

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

—
——
—
CompleteMinimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Qwen3.8-27B UD-Q6_KNative context qualification · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
128K context tier
Thinking
Native context qualification
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Benchmark version
Text-only native context fit
Context capacity
128K context tier
MTP
Off
Interpretation
Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Minimum free device VRAM
5.7 GiB
All measurements and denominators (1)
minimum free device vram
5.7 GiBMinimum headroom during measured native profile

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

—
——
—
CompleteMinimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

Bolt vs Qwen / Reviewed: 28 Oct 2026; results documented 19 Oct 2026

Bolt vs Qwen · 256K minimum free VRAM

256K minimum free VRAM

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11669
Runtime / extension
llama.cpp b11669
Benchmark
Text-only native context fit
Context capacity
256K context tier
Thinking
Native context qualification
MTP
Off
K / V cache
Q8_0 / Q8_0

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

2 results

Not measured in this quality summary · — = not available

Bolt vs Qwen · 256K minimum free VRAM. Scores are out of 100; Text-only native context fit · edition-specific score. Time basis: Not aggregated.
Model & configurationScore / 100Generation tok/sNot aggregatedMemory see basisEvidence
Bolt 74B-A9BNative context qualification · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB mixed-precision GGUF

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
256K context tier
Thinking
Native context qualification
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Benchmark version
Text-only native context fit
Context capacity
256K context tier
MTP
Off
Interpretation
Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Minimum free device VRAM
8.1 GiB
All measurements and denominators (1)
minimum free device vram
8.1 GiBMinimum headroom during measured native profile

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

—
——
—
CompleteMinimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Qwen3.8-27B UD-Q6_KNative context qualification · Q8_0 / Q8_0Captured: Not recorded
Capture, runtime & configuration for Unsloth Qwen3.8-27B UD-Q6_K

Unsloth Qwen3.8-27B UD-Q6_K

Test captured
Not recorded
Date precision
Per-request capture dates are not included in this whitepaper summary.
Capture timezone
Not recorded
Application / version
llama-server b11669
Inference engine / build
llama.cpp b11669
OS / environment
Windows 11 Pro; RTX 5090 32 GB; Intel i9-13900K; 128 GB DDR5
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Context capacity
256K context tier
Thinking
Native context qualification
K / V cache
Q8_0 / Q8_0
Sampler scope
Per-model settings differ; maximum-quality modes are not equal compute. Read each result.
Flash attention
On
Concurrency
One request at a time
Template
Embedded native template
Output control
Thinking and final share the output budget; no grammar-constrained quality answers
Benchmark version
Text-only native context fit
Context capacity
256K context tier
MTP
Off
Interpretation
Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.
Minimum free device VRAM
1.04 GiB
All measurements and denominators (1)
minimum free device vram
1.04 GiBMinimum headroom during measured native profile

Minimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

—
——
—
CompleteMinimum free device-wide VRAM, not model allocation. Qwen 256K uses micro-batch 256; micro-batch 512 failed 1 GiB headroom target at 0.87 GiB free.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 4K · Asset registry

Exact-match accuracy on asset retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

100.00 / 100

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 4K · Asset registry. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
100 answersSaved deterministic grade
wilson95 low
96.30065 percentPer-cell Wilson 95% interval
wilson95 high
100 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

100.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
99 answersSaved deterministic grade
wilson95 low
94.55138 percentPer-cell Wilson 95% interval
wilson95 high
99.823257 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

99.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
99 answersSaved deterministic grade
wilson95 low
94.55138 percentPer-cell Wilson 95% interval
wilson95 high
99.823257 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

99.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
99 answersSaved deterministic grade
wilson95 low
94.55138 percentPer-cell Wilson 95% interval
wilson95 high
99.823257 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

99.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
96 answersSaved deterministic grade
wilson95 low
90.162929 percentPer-cell Wilson 95% interval
wilson95 high
98.43367 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
4 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

96.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
96 answersSaved deterministic grade
wilson95 low
90.162929 percentPer-cell Wilson 95% interval
wilson95 high
98.43367 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
4 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

96.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
96 answersSaved deterministic grade
wilson95 low
90.162929 percentPer-cell Wilson 95% interval
wilson95 high
98.43367 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
4 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

96.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
94 answersSaved deterministic grade
wilson95 low
87.523185 percentPer-cell Wilson 95% interval
wilson95 high
97.221388 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
5 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

94.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 4K · Config tracking

Exact-match accuracy on config retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

94.00 / 100

Qwen3.8-27B · Q4
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 4K · Config tracking. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
94 answersSaved deterministic grade
wilson95 low
87.523185 percentPer-cell Wilson 95% interval
wilson95 high
97.221388 percentPer-cell Wilson 95% interval
error format
2 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
4 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

94.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
91 answersSaved deterministic grade
wilson95 low
83.773787 percentPer-cell Wilson 95% interval
wilson95 high
95.192746 percentPer-cell Wilson 95% interval
error format
7 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
2 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

91.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
86 answersSaved deterministic grade
wilson95 low
77.862812 percentPer-cell Wilson 95% interval
wilson95 high
91.473656 percentPer-cell Wilson 95% interval
error format
12 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
2 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

86.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
86 answersSaved deterministic grade
wilson95 low
77.862812 percentPer-cell Wilson 95% interval
wilson95 high
91.473656 percentPer-cell Wilson 95% interval
error format
11 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
3 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

86.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
79 answersSaved deterministic grade
wilson95 low
70.020031 percentPer-cell Wilson 95% interval
wilson95 high
85.834346 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
20 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

79.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
79 answersSaved deterministic grade
wilson95 low
70.020031 percentPer-cell Wilson 95% interval
wilson95 high
85.834346 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
20 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

79.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
78 answersSaved deterministic grade
wilson95 low
68.929646 percentPer-cell Wilson 95% interval
wilson95 high
84.998718 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
22 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

78.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
3,500
Sampling plan
20 documents × 5 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
72 answersSaved deterministic grade
wilson95 low
62.511971 percentPer-cell Wilson 95% interval
wilson95 high
79.860315 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
26 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
2 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

72.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 16K · Asset registry

Exact-match accuracy on asset retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

100.00 / 100

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 16K · Asset registry. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
100 answersSaved deterministic grade
wilson95 low
96.30065 percentPer-cell Wilson 95% interval
wilson95 high
100 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

100.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
100 answersSaved deterministic grade
wilson95 low
96.30065 percentPer-cell Wilson 95% interval
wilson95 high
100 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

100.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
100 answersSaved deterministic grade
wilson95 low
96.30065 percentPer-cell Wilson 95% interval
wilson95 high
100 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

100.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
100 answersSaved deterministic grade
wilson95 low
96.30065 percentPer-cell Wilson 95% interval
wilson95 high
100 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

100.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
91 answersSaved deterministic grade
wilson95 low
83.773787 percentPer-cell Wilson 95% interval
wilson95 high
95.192746 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
8 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

91.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
89 answersSaved deterministic grade
wilson95 low
81.368703 percentPer-cell Wilson 95% interval
wilson95 high
93.745804 percentPer-cell Wilson 95% interval
error format
1 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
9 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

89.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
87 answersSaved deterministic grade
wilson95 low
79.019649 percentPer-cell Wilson 95% interval
wilson95 high
92.242833 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
2 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
11 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

87.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
87 answersSaved deterministic grade
wilson95 low
79.019649 percentPer-cell Wilson 95% interval
wilson95 high
92.242833 percentPer-cell Wilson 95% interval
error format
2 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
10 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

87.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 16K · Config tracking

Exact-match accuracy on config retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

85.00 / 100

Qwen3.8-27B · Q4
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 16K · Config tracking. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
85 answersSaved deterministic grade
wilson95 low
76.71644 percentPer-cell Wilson 95% interval
wilson95 high
90.694015 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
13 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

85.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
84 answersSaved deterministic grade
wilson95 low
75.579731 percentPer-cell Wilson 95% interval
wilson95 high
89.904712 percentPer-cell Wilson 95% interval
error format
2 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
13 answersCanonical saved error class; no regrading
error neighbor
1 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

84.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
83 answersSaved deterministic grade
wilson95 low
74.451995 percentPer-cell Wilson 95% interval
wilson95 high
89.106434 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
16 answersCanonical saved error class; no regrading
error neighbor
1 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

83.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
83 answersSaved deterministic grade
wilson95 low
74.451995 percentPer-cell Wilson 95% interval
wilson95 high
89.106434 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
16 answersCanonical saved error class; no regrading
error neighbor
1 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

83.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
36 answersSaved deterministic grade
wilson95 low
27.27122 percentPer-cell Wilson 95% interval
wilson95 high
45.764598 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
61 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

36.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
35 answersSaved deterministic grade
wilson95 low
26.364248 percentPer-cell Wilson 95% interval
wilson95 high
44.745557 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
62 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

35.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
35 answersSaved deterministic grade
wilson95 low
26.364248 percentPer-cell Wilson 95% interval
wilson95 high
44.745557 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
63 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
2 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

35.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
15,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
34 answersSaved deterministic grade
wilson95 low
25.461521 percentPer-cell Wilson 95% interval
wilson95 high
43.722271 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
62 answersCanonical saved error class; no regrading
error neighbor
1 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

34.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 32K · Asset registry

Exact-match accuracy on asset retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

98.00 / 100

Qwen3.8-27B · Q8
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 32K · Asset registry. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
98 answersSaved deterministic grade
wilson95 low
92.998821 percentPer-cell Wilson 95% interval
wilson95 high
99.449803 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
2 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

98.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
98 answersSaved deterministic grade
wilson95 low
92.998821 percentPer-cell Wilson 95% interval
wilson95 high
99.449803 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
2 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

98.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
97 answersSaved deterministic grade
wilson95 low
91.548064 percentPer-cell Wilson 95% interval
wilson95 high
98.974548 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

97.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
97 answersSaved deterministic grade
wilson95 low
91.548064 percentPer-cell Wilson 95% interval
wilson95 high
98.974548 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

97.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
73 answersSaved deterministic grade
wilson95 low
63.567883 percentPer-cell Wilson 95% interval
wilson95 high
80.730416 percentPer-cell Wilson 95% interval
error format
8 answersCanonical saved error class; no regrading
error near collision
5 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
14 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

73.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
62 answersSaved deterministic grade
wilson95 low
52.209755 percentPer-cell Wilson 95% interval
wilson95 high
70.902401 percentPer-cell Wilson 95% interval
error format
32 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
5 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

62.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
62 answersSaved deterministic grade
wilson95 low
52.209755 percentPer-cell Wilson 95% interval
wilson95 high
70.902401 percentPer-cell Wilson 95% interval
error format
30 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
7 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

62.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
60 answersSaved deterministic grade
wilson95 low
50.200259 percentPer-cell Wilson 95% interval
wilson95 high
69.059871 percentPer-cell Wilson 95% interval
error format
33 answersCanonical saved error class; no regrading
error near collision
1 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
6 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

60.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 32K · Config tracking

Exact-match accuracy on config retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

75.00 / 100

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 32K · Config tracking. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
75 answersSaved deterministic grade
wilson95 low
65.695536 percentPer-cell Wilson 95% interval
wilson95 high
82.454789 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
22 answersCanonical saved error class; no regrading
error neighbor
3 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

75.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
75 answersSaved deterministic grade
wilson95 low
65.695536 percentPer-cell Wilson 95% interval
wilson95 high
82.454789 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
20 answersCanonical saved error class; no regrading
error neighbor
5 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

75.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
74 answersSaved deterministic grade
wilson95 low
64.629011 percentPer-cell Wilson 95% interval
wilson95 high
81.595302 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
21 answersCanonical saved error class; no regrading
error neighbor
5 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

74.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
74 answersSaved deterministic grade
wilson95 low
64.629011 percentPer-cell Wilson 95% interval
wilson95 high
81.595302 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
21 answersCanonical saved error class; no regrading
error neighbor
5 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

74.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
35 answersSaved deterministic grade
wilson95 low
26.364248 percentPer-cell Wilson 95% interval
wilson95 high
44.745557 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
63 answersCanonical saved error class; no regrading
error neighbor
1 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

35.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
34 answersSaved deterministic grade
wilson95 low
25.461521 percentPer-cell Wilson 95% interval
wilson95 high
43.722271 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
63 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

34.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
34 answersSaved deterministic grade
wilson95 low
25.461521 percentPer-cell Wilson 95% interval
wilson95 high
43.722271 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
63 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

34.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
30,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
33 answersSaved deterministic grade
wilson95 low
24.563123 percentPer-cell Wilson 95% interval
wilson95 high
42.694656 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
64 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

33.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 64K · Asset registry

Exact-match accuracy on asset retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

100.00 / 100

Qwen3.8-27B · Q8
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 64K · Asset registry. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
100 answersSaved deterministic grade
wilson95 low
96.30065 percentPer-cell Wilson 95% interval
wilson95 high
100 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

100.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
99 answersSaved deterministic grade
wilson95 low
94.55138 percentPer-cell Wilson 95% interval
wilson95 high
99.823257 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

99.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
99 answersSaved deterministic grade
wilson95 low
94.55138 percentPer-cell Wilson 95% interval
wilson95 high
99.823257 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

99.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
99 answersSaved deterministic grade
wilson95 low
94.55138 percentPer-cell Wilson 95% interval
wilson95 high
99.823257 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
1 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

99.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
63 answersSaved deterministic grade
wilson95 low
53.22053 percentPer-cell Wilson 95% interval
wilson95 high
71.817639 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
13 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
22 answersCanonical saved error class; no regrading
error hallucinated
2 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

63.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
61 answersSaved deterministic grade
wilson95 low
51.203017 percentPer-cell Wilson 95% interval
wilson95 high
69.983126 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
15 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
23 answersCanonical saved error class; no regrading
error hallucinated
1 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

61.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
60 answersSaved deterministic grade
wilson95 low
50.200259 percentPer-cell Wilson 95% interval
wilson95 high
69.059871 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
16 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
23 answersCanonical saved error class; no regrading
error hallucinated
1 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

60.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
58 answersSaved deterministic grade
wilson95 low
48.206487 percentPer-cell Wilson 95% interval
wilson95 high
67.201617 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
16 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
24 answersCanonical saved error class; no regrading
error hallucinated
2 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

58.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 64K · Config tracking

Exact-match accuracy on config retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

73.00 / 100

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 64K · Config tracking. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
73 answersSaved deterministic grade
wilson95 low
63.567883 percentPer-cell Wilson 95% interval
wilson95 high
80.730416 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
22 answersCanonical saved error class; no regrading
error neighbor
5 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

73.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
73 answersSaved deterministic grade
wilson95 low
63.567883 percentPer-cell Wilson 95% interval
wilson95 high
80.730416 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
22 answersCanonical saved error class; no regrading
error neighbor
5 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

73.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
71 answersSaved deterministic grade
wilson95 low
61.461109 percentPer-cell Wilson 95% interval
wilson95 high
78.985164 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
22 answersCanonical saved error class; no regrading
error neighbor
7 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

71.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
67 answersSaved deterministic grade
wilson95 low
57.305344 percentPer-cell Wilson 95% interval
wilson95 high
75.436877 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
28 answersCanonical saved error class; no regrading
error neighbor
5 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

67.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
36 answersSaved deterministic grade
wilson95 low
27.27122 percentPer-cell Wilson 95% interval
wilson95 high
45.764598 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
60 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
2 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

36.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
32 answersSaved deterministic grade
wilson95 low
23.669147 percentPer-cell Wilson 95% interval
wilson95 high
41.662619 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
63 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

32.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
29 answersSaved deterministic grade
wilson95 low
21.014836 percentPer-cell Wilson 95% interval
wilson95 high
38.538891 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
66 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

29.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
60,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
65,536 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
29 answersSaved deterministic grade
wilson95 low
21.014836 percentPer-cell Wilson 95% interval
wilson95 high
38.538891 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
66 answersCanonical saved error class; no regrading
error neighbor
2 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

29.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 128K · Asset registry

Exact-match accuracy on asset retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

98.00 / 100

Qwen3.8-27B · Q4
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 128K · Asset registry. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
98 answersSaved deterministic grade
wilson95 low
92.998821 percentPer-cell Wilson 95% interval
wilson95 high
99.449803 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
2 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

98.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
97 answersSaved deterministic grade
wilson95 low
91.548064 percentPer-cell Wilson 95% interval
wilson95 high
98.974548 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

97.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
97 answersSaved deterministic grade
wilson95 low
91.548064 percentPer-cell Wilson 95% interval
wilson95 high
98.974548 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
3 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

97.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
95 answersSaved deterministic grade
wilson95 low
88.824953 percentPer-cell Wilson 95% interval
wilson95 high
97.845632 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
5 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

95.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
51 answersSaved deterministic grade
wilson95 low
41.348012 percentPer-cell Wilson 95% interval
wilson95 high
60.578001 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
10 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
37 answersCanonical saved error class; no regrading
error hallucinated
2 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

51.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
51 answersSaved deterministic grade
wilson95 low
41.348012 percentPer-cell Wilson 95% interval
wilson95 high
60.578001 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
9 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
36 answersCanonical saved error class; no regrading
error hallucinated
4 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

51.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
49 answersSaved deterministic grade
wilson95 low
39.421999 percentPer-cell Wilson 95% interval
wilson95 high
58.651988 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
9 answersCanonical saved error class; no regrading
error stale
0 answersCanonical saved error class; no regrading
error neighbor
0 answersCanonical saved error class; no regrading
error other in doc
40 answersCanonical saved error class; no regrading
error hallucinated
2 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

49.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Not recorded
Date precision
No accepted captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted allocation
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
asset
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
No accepted allocation
All measurements and denominators (10)
questions
Unavailable Official accepted questions; null when unavailable
correct
Unavailable Saved deterministic grade
wilson95 low
Unavailable Per-cell Wilson 95% interval
wilson95 high
Unavailable Per-cell Wilson 95% interval
error format
Unavailable Canonical saved error class; no regrading
error near collision
Unavailable Canonical saved error class; no regrading
error stale
Unavailable Canonical saved error class; no regrading
error neighbor
Unavailable Canonical saved error class; no regrading
error other in doc
Unavailable Canonical saved error class; no regrading
error hallucinated
Unavailable Canonical saved error class; no regrading

No accepted F16/128K answers: allocation exceeded VRAM; unavailable is not zero accuracy.

—
——
—
UnavailableNo accepted F16/128K answers: allocation exceeded VRAM; unavailable is not zero accuracy.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 128K · Config tracking

Exact-match accuracy on config retrieval; 100 questions per available model/cache task cell.

Read the source
Highest observed score

68.00 / 100

Qwen3.8-27B · Q4
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

8 results

Not measured in this profile · — = not available

KV cache · 128K · Config tracking. Scores are out of 100; Exact-match accuracy percent; fixed parser, one task and context bucket. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
68 answersSaved deterministic grade
wilson95 low
58.337381 percentPer-cell Wilson 95% interval
wilson95 high
76.330853 percentPer-cell Wilson 95% interval
error format
2 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
27 answersCanonical saved error class; no regrading
error neighbor
3 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

68.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
67 answersSaved deterministic grade
wilson95 low
57.305344 percentPer-cell Wilson 95% interval
wilson95 high
75.436877 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
30 answersCanonical saved error class; no regrading
error neighbor
3 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

67.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
66 answersSaved deterministic grade
wilson95 low
56.277729 percentPer-cell Wilson 95% interval
wilson95 high
74.538479 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
31 answersCanonical saved error class; no regrading
error neighbor
3 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

66.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
64 answersSaved deterministic grade
wilson95 low
54.235402 percentPer-cell Wilson 95% interval
wilson95 high
72.72878 percentPer-cell Wilson 95% interval
error format
3 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
30 answersCanonical saved error class; no regrading
error neighbor
3 answersCanonical saved error class; no regrading
error other in doc
0 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

64.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
31 answersSaved deterministic grade
wilson95 low
22.779697 percentPer-cell Wilson 95% interval
wilson95 high
40.626056 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
58 answersCanonical saved error class; no regrading
error neighbor
7 answersCanonical saved error class; no regrading
error other in doc
4 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

31.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
30 answersSaved deterministic grade
wilson95 low
21.894885 percentPer-cell Wilson 95% interval
wilson95 high
39.584855 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
57 answersCanonical saved error class; no regrading
error neighbor
8 answersCanonical saved error class; no regrading
error other in doc
5 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

30.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
131,072 tokens
All measurements and denominators (10)
questions
100 questionsOfficial accepted questions; null when unavailable
correct
28 answersSaved deterministic grade
wilson95 low
20.139685 percentPer-cell Wilson 95% interval
wilson95 high
37.488029 percentPer-cell Wilson 95% interval
error format
0 answersCanonical saved error class; no regrading
error near collision
0 answersCanonical saved error class; no regrading
error stale
58 answersCanonical saved error class; no regrading
error neighbor
9 answersCanonical saved error class; no regrading
error other in doc
5 answersCanonical saved error class; no regrading
error hallucinated
0 answersCanonical saved error class; no regrading

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

28.00
——
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Not recorded
Date precision
No accepted captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted allocation
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Task
config
Target document tokens
120,000
Sampling plan
4 documents × 25 questions
Depth strata
Five balanced quintiles
Allocated context
No accepted allocation
All measurements and denominators (10)
questions
Unavailable Official accepted questions; null when unavailable
correct
Unavailable Saved deterministic grade
wilson95 low
Unavailable Per-cell Wilson 95% interval
wilson95 high
Unavailable Per-cell Wilson 95% interval
error format
Unavailable Canonical saved error class; no regrading
error near collision
Unavailable Canonical saved error class; no regrading
error stale
Unavailable Canonical saved error class; no regrading
error neighbor
Unavailable Canonical saved error class; no regrading
error other in doc
Unavailable Canonical saved error class; no regrading
error hallucinated
Unavailable Canonical saved error class; no regrading

No accepted F16/128K answers: allocation exceeded VRAM; unavailable is not zero accuracy.

—
——
—
UnavailableNo accepted F16/128K answers: allocation exceeded VRAM; unavailable is not zero accuracy.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 4K · short-answer speed

Median cold document-processing and answer-generation rates; both tasks pooled.

Read the source
Highest recorded rate

131.58 tok/s

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects. Answers capped at 48 tokens. Cold samples are documents, not all scored questions.

8 results

Median per-request generation tok/s from accepted short answers; not sustained decode · — = not available

KV cache · 4K · short-answer speed. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,778.265604 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
131.575704 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
129.499883 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
131.58—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,773.357935 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
127.483957 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
125.638315 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
127.48—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,766.466874 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
126.934764 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
125.824891 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
126.93—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,770.11262 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
127.157712 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
124.991445 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
127.16—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
4,190.609055 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
72.261934 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
72.371696 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
72.26—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
4,062.188445 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
69.55466 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
69.629797 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
69.55—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
4,064.265974 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
69.612102 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
69.693446 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
69.61—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
4,067.280568 tok/sAccepted launches; task-pooled sample population
cold samples
40 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
65.669227 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
65.899177 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
65.67—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 16K · short-answer speed

Median cold document-processing and answer-generation rates; both tasks pooled.

Read the source
Highest recorded rate

128.22 tok/s

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects. Answers capped at 48 tokens. Cold samples are documents, not all scored questions.

8 results

Median per-request generation tok/s from accepted short answers; not sustained decode · — = not available

KV cache · 16K · short-answer speed. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,934.68524 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
128.2226 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
127.345042 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
128.22—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,925.561168 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
124.358788 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
123.705309 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
124.36—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,925.030214 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
122.237249 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
120.509148 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
122.24—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,919.327182 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
123.464413 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
121.954983 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
123.46—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,917.424357 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
66.443956 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
66.521944 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
66.44—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,833.280446 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
65.074211 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
65.143759 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
65.07—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,821.283118 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
65.106581 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
65.171477 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
65.11—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
16K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,828.832529 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
54.437075 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
54.569267 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
54.44—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 32K · short-answer speed

Median cold document-processing and answer-generation rates; both tasks pooled.

Read the source
Highest recorded rate

124.38 tok/s

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects. Answers capped at 48 tokens. Cold samples are documents, not all scored questions.

8 results

Median per-request generation tok/s from accepted short answers; not sustained decode · — = not available

KV cache · 32K · short-answer speed. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,801.125291 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
124.380043 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
118.458616 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
124.38—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,788.498537 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
116.515397 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
110.20702 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
116.52—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,792.908184 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
114.549178 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
107.212053 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
114.55—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,958.567215 tok/sAccepted launches; task-pooled sample population
cold samples
9 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
124.342554 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
116.677555 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
124.34—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,588.096134 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
59.811177 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
59.720452 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
59.81—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,500.320104 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
59.548424 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
59.633882 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
59.55—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,488.279672 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
59.238232 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
59.318621 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
59.24—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
3,502.82737 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
48.075767 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
48.111998 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
48.08—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 64K · short-answer speed

Median cold document-processing and answer-generation rates; both tasks pooled.

Read the source
Highest recorded rate

116.30 tok/s

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects. Answers capped at 48 tokens. Cold samples are documents, not all scored questions.

8 results

Median per-request generation tok/s from accepted short answers; not sustained decode · — = not available

KV cache · 64K · short-answer speed. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,395.635705 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
116.296009 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
113.554242 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
116.30—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,333.810174 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
103.466784 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
101.027053 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
103.47—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,334.659137 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
103.198518 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
100.683319 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
103.20—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,457.700391 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
115.519306 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
112.387292 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
115.52—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,998.913284 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
49.696626 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
49.695125 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
49.70—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
65,536 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,929.193346 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
50.989198 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
51.038554 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
50.99—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,925.141119 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
50.609215 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
50.605195 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
50.61—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
64K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
2,938.729678 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
34.149471 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
34.243593 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
34.15—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · 128K · short-answer speed

Median cold document-processing and answer-generation rates; both tasks pooled.

Read the source
Highest recorded rate

112.17 tok/s

Qwen3.8-27B · F16
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects. Answers capped at 48 tokens. Cold samples are documents, not all scored questions.

8 results

Median per-request generation tok/s from accepted short answers; not sustained decode · — = not available

KV cache · 128K · short-answer speed. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,813.749224 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
112.166097 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
110.057342 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
112.17—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q8Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,661.617544 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
83.247055 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
81.335467 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
83.25—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · Q4Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,666.872276 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
83.746273 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
81.307662 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
83.75—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Qwen3.8-27B · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,734.381684 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
92.224273 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
90.17669 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
92.22—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · F16Off · F16Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Not recorded
Date precision
No accepted captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted allocation
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
No accepted allocation
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
Unavailable Accepted launches; task-pooled sample population
cold samples
Unavailable Accepted launches; task-pooled sample population
generation samples
Unavailable Accepted launches; task-pooled sample population
generation tps median
Unavailable Accepted launches; task-pooled sample population
generation tps time weighted
Unavailable Accepted launches; task-pooled sample population

F16 at 128K unavailable on this setup; no rate measurement.

—
——
—
UnavailableF16 at 128K unavailable on this setup; no rate measurement.
Mistral Small 3.2 · Q8Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,853.885612 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
39.568994 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
39.60688 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
39.57—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · Q4Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,852.564122 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
38.688711 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
38.699896 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
38.69—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.
Mistral Small 3.2 · K8V4Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
128K test bucket; allocated capacity per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Allocated context
131,072 tokens
Rate scope
Up to 48 generated tokens per answer; document primers/cold requests used for cold rate
All measurements and denominators (5)
cold prompt tps median
1,857.849536 tok/sAccepted launches; task-pooled sample population
cold samples
8 samplesAccepted launches; task-pooled sample population
generation samples
200 samplesAccepted launches; task-pooled sample population
generation tps median
21.469661 tok/sAccepted launches; task-pooled sample population
generation tps time weighted
21.543995 tok/sAccepted launches; task-pooled sample population

Saved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

—
21.47—
—
CompleteSaved accepted results. Within-model questions are paired across cache settings; model tokenizers differ. Context allocations and boot sessions vary, so speed differences are descriptive, not isolated cache effects.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · practical context capacity

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

Read the source
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K Guard margin at least 1,640 MiB. Allocation and one short-input speed check do not establish full-length speed or accuracy.

8 results

Not measured in this profile · — = not available

KV cache · practical context capacity. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
VRAM-limited
Allocated context
131,072 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
131,072 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
262,144 tokensGGUF trained-context cap
actual cuda buffers mib
30,503.41 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
428 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
1,675.59 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
31,438 MiBWhole GPU memory after loading
peak 60s mib
31,486 MiBWhole GPU sampled during the verification window
cold 4k tps
2,785.222928 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.983375 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
29.79 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Qwen3.8-27B · Q8Off · Q8Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
208,896 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
VRAM-limited
Allocated context
208,896 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
208,896 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
262,144 tokensGGUF trained-context cap
actual cuda buffers mib
30,477.68 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
391 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
1,738.32 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
31,372 MiBWhole GPU memory after loading
peak 60s mib
31,450 MiBWhole GPU sampled during the verification window
cold 4k tps
2,403.222456 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.848503 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
29.76 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Qwen3.8-27B · Q4Off · Q4Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
262,144 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
model trained-context cap
Allocated context
262,144 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
262,144 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
262,144 tokensGGUF trained-context cap
actual cuda buffers mib
28,669.68 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
428 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
3,509.32 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
29,604 MiBWhole GPU memory after loading
peak 60s mib
29,652 MiBWhole GPU sampled during the verification window
cold 4k tps
2,694.722117 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.951422 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
28.00 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Qwen3.8-27B · K8V4Off · K8V4Campaign captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
253,952 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
VRAM-limited
Allocated context
253,952 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
253,952 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
262,144 tokensGGUF trained-context cap
actual cuda buffers mib
30,429.68 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
418 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
1,759.32 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
31,383 MiBWhole GPU memory after loading
peak 60s mib
31,431 MiBWhole GPU sampled during the verification window
cold 4k tps
2,473.738001 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.8734 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
29.72 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Mistral Small 3.2 · F16Off · F16Campaign captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
77,824 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
VRAM-limited
Allocated context
77,824 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
77,824 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
131,072 tokensGGUF trained-context cap
actual cuda buffers mib
30,385.22 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
428 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
1,793.78 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
31,314 MiBWhole GPU memory after loading
peak 60s mib
31,332 MiBWhole GPU sampled during the verification window
cold 4k tps
4,242.956025 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.993047 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
29.67 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Mistral Small 3.2 · Q8Off · Q8Campaign captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
model trained-context cap
Allocated context
131,072 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
131,072 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
131,072 tokensGGUF trained-context cap
actual cuda buffers mib
29,485.3 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
428 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
2,693.7 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
30,416 MiBWhole GPU memory after loading
peak 60s mib
30,437 MiBWhole GPU sampled during the verification window
cold 4k tps
4,185.497879 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.979599 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
28.79 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Mistral Small 3.2 · Q4Off · Q4Campaign captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
model trained-context cap
Allocated context
131,072 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
131,072 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
131,072 tokensGGUF trained-context cap
actual cuda buffers mib
24,365.3 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
428 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
7,813.7 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
25,296 MiBWhole GPU memory after loading
peak 60s mib
25,314 MiBWhole GPU sampled during the verification window
cold 4k tps
4,180.993923 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.978545 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
23.79 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
Mistral Small 3.2 · K8V4Off · K8V4Campaign captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Date precision
Recorded capacity verification window start; not a full-length inference timestamp
Short-input capacity verification window
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Per-result allocated context; 4K input verification
MTP
Qwen: on (3 draft tokens); Mistral: off
Limiting condition
model trained-context cap
Allocated context
131,072 tokens
Accuracy scope
No additional benchmark answers; accuracy tested only through 128K
All measurements and denominators (10)
verified context tokens
131,072 tokenspractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K
trained context tokens
131,072 tokensGGUF trained-context cap
actual cuda buffers mib
26,925.3 MiBLogged CUDA buffers; excludes baseline desktop usage
baseline max mib
428 MiBUnloaded GPU baseline maximum before this launch
actual headroom mib
5,253.7 MiBPhysical VRAM minus actual logged CUDA buffers and baseline maximum
after load mib
27,856 MiBWhole GPU memory after loading
peak 60s mib
27,877 MiBWhole GPU sampled during the verification window
cold 4k tps
4,183.121768 tok/sOne ungraded 4K request at the larger allocation
speed reference ratio
0.979043 ratio4K cold rate divided by accepted model reference
minimum headroom mib
1,640 MiBRequired startup guard margin

practical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

—
——
26.29 GiBLogged CUDA buffers at verified context; excludes desktop baseline
Capacity verifiedpractical max under this setup (display-attached, fresh-reboot baseline); allocation + 4K speed verified; long-context accuracy not tested beyond 128K

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · main-cache allocation at 128K

Main KV cache requirements from verified per-token sizes; excludes weights, compute, recurrent state and Qwen draft cache.

Read the source
Test captured
Not recordedSource date above is not a capture date
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

8 results

Not measured in this profile · — = not available

KV cache · main-cache allocation at 128K. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16Off · F16Captured: Not recorded
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16

Qwen3.8-27B UD-Q6_K · F16

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
64 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
8,192 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
0 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
8.00 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Qwen3.8-27B · Q8Off · Q8Captured: Not recorded
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8

Qwen3.8-27B UD-Q6_K · Q8

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
34 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
4,352 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
46.875 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
4.25 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Qwen3.8-27B · Q4Off · Q4Captured: Not recorded
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4

Qwen3.8-27B UD-Q6_K · Q4

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
18 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
2,304 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
71.875 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
2.25 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Qwen3.8-27B · K8V4Off · K8V4Captured: Not recorded
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4

Qwen3.8-27B UD-Q6_K · K8V4

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
26 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
3,328 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
59.375 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
3.25 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Mistral Small 3.2 · F16Off · F16Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Mistral Small 3.2 24B Instruct 2506 Q6_K · F16

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Unavailable for Mistral F16
All measurements and denominators (3)
main cache mib per 1024 tokens
160 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
20,480 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
0 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
20.00 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Mistral Small 3.2 · Q8Off · Q8Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
85 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
10,880 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
46.875 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
10.63 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Mistral Small 3.2 · Q4Off · Q4Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
45 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
5,760 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
71.875 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
5.63 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.
Mistral Small 3.2 · K8V4Off · K8V4Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4

Test captured
Not recorded
Date precision
Derived allocation requirement, not an independent inference capture
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens (requirement calculation)
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
131,072 allocated tokens
MTP
Qwen: on (3 draft tokens); Mistral: off
Calculation
Verified MiB per 1,024 tokens × 128
Accepted 128K fit
Accepted separately; see accuracy and capacity profiles
All measurements and denominators (3)
main cache mib per 1024 tokens
65 MiB / 1,024 tokensMain cache only
main cache mib at 131072 tokens
8,320 MiBCalculated per-token size × 128; not full GPU allocation
saving vs f16 percent
59.375 percentMain KV cache saving; not total VRAM saving

The Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

—
——
8.13 GiBCalculated main KV cache requirement; excludes all other buffers
Calculated requirementThe Mistral F16 requirement is unavailable as an accepted 128K run. Requirements are not whole-GPU peaks or a fit guarantee.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · paired accuracy and answer churn

Exact McNemar tests, Holm adjustment over 62 available comparisons, discordant counts and parsed-answer churn.

Read the source
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

68 results

Not measured in this profile · — = not available

KV cache · paired accuracy and answer churn. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q8 · vs-f16-4k-assetOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-4k-asset

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-4k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-4k-assetOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-4k-asset

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-4k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-4k-assetOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-4k-asset

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-4k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-4k-configOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-4k-config

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-4k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
4 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-4k-configOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-4k-config

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-4k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
11 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
8 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
15 answersSaved paired comparison; unavailable values remain null
parsed difference percent
15 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.057373 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-4k-configOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-4k-config

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-4k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
8 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
5 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
11 answersSaved paired comparison; unavailable values remain null
parsed difference percent
11 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.226563 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-16k-assetOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-16k-asset

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-16k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-16k-assetOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-16k-asset

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-16k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-16k-assetOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-16k-asset

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-16k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-16k-configOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-16k-config

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-16k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
5 answersSaved paired comparison; unavailable values remain null
parsed difference percent
5 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-16k-configOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-16k-config

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-16k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
4 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
10 answersSaved paired comparison; unavailable values remain null
parsed difference percent
10 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-16k-configOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-16k-config

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-16k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
6 answersSaved paired comparison; unavailable values remain null
parsed difference percent
6 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-32k-assetOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-32k-asset

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-32k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-32k-assetOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-32k-asset

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-32k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-32k-assetOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-32k-asset

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-32k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-32k-configOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-32k-config

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-32k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
4 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-32k-configOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-32k-config

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-32k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
3 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
9 answersSaved paired comparison; unavailable values remain null
parsed difference percent
9 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-32k-configOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-32k-config

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-32k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
3 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-64k-assetOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-64k-asset

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-64k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
1 answersSaved paired comparison; unavailable values remain null
parsed difference percent
1 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-64k-assetOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-64k-asset

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-64k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-64k-assetOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-64k-asset

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-64k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-64k-configOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-64k-config

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-64k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
4 answersSaved paired comparison; unavailable values remain null
parsed difference percent
4 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.625 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-64k-configOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-64k-config

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-64k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
8 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-6 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
11 answersSaved paired comparison; unavailable values remain null
parsed difference percent
11 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.109375 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-64k-configOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-64k-config

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-64k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
4 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-128k-assetOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-128k-asset

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.5 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-128k-assetOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-128k-asset

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
3 answersSaved paired comparison; unavailable values remain null
parsed difference percent
3 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-128k-assetOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-128k-asset

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-q8-128k-assetOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-q8-128k-asset

Qwen3.8-27B UD-Q6_K · Q4 · vs-q8-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
Q4
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
4 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
3 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
5 answersSaved paired comparison; unavailable values remain null
parsed difference percent
5 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.375 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-q8-128k-assetOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-q8-128k-asset

Qwen3.8-27B UD-Q6_K · K8V4 · vs-q8-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
K8V4
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.5 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q8 · vs-f16-128k-configOff · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-128k-config

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
5 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-3 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.453125 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-f16-128k-configOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-128k-config

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
3 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
7 answersSaved paired comparison; unavailable values remain null
parsed difference percent
7 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-f16-128k-configOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-128k-config

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
3 answersSaved paired comparison; unavailable values remain null
parsed difference percent
3 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · Q4 · vs-q8-128k-configOff · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-q8-128k-config

Qwen3.8-27B UD-Q6_K · Q4 · vs-q8-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
Q4
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
8 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
4 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
14 answersSaved paired comparison; unavailable values remain null
parsed difference percent
14 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.387695 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Qwen3.8-27B · K8V4 · vs-q8-128k-configOff · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-q8-128k-config

Qwen3.8-27B UD-Q6_K · K8V4 · vs-q8-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
K8V4
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
5 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
9 answersSaved paired comparison; unavailable values remain null
parsed difference percent
9 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.726563 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-4k-assetOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-4k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-4k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-4k-assetOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-4k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-4k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
3 answersSaved paired comparison; unavailable values remain null
parsed difference percent
3 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.5 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-4k-assetOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-4k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-4k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
0 answersSaved paired comparison; unavailable values remain null
parsed difference percent
0 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-4k-configOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-4k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-4k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
3 answersSaved paired comparison; unavailable values remain null
parsed difference percent
3 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-4k-configOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-4k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-4k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
8 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-6 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
10 answersSaved paired comparison; unavailable values remain null
parsed difference percent
10 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.109375 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-4k-configOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-4k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-4k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
4K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
3 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
5 answersSaved paired comparison; unavailable values remain null
parsed difference percent
5 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-16k-assetOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-16k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-16k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.5 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-16k-assetOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-16k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-16k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
6 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-4 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.289063 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-16k-assetOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-16k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-16k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-4 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
4 answersSaved paired comparison; unavailable values remain null
parsed difference percent
4 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.125 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-16k-configOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-16k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-16k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-16k-configOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-16k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-16k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
5 answersSaved paired comparison; unavailable values remain null
b only correct
3 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
12 answersSaved paired comparison; unavailable values remain null
parsed difference percent
12 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.726563 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-16k-configOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-16k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-16k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
16K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
2 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
5 answersSaved paired comparison; unavailable values remain null
parsed difference percent
5 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-32k-assetOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-32k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-32k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
1 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
5 answersSaved paired comparison; unavailable values remain null
parsed difference percent
5 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-32k-assetOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-32k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-32k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
5 answersSaved paired comparison; unavailable values remain null
b only correct
16 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
11 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
33 answersSaved paired comparison; unavailable values remain null
parsed difference percent
33 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.026604 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-32k-assetOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-32k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-32k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
11 answersSaved paired comparison; unavailable values remain null
parsed difference percent
11 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.6875 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-32k-configOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-32k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-32k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-32k-configOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-32k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-32k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
7 answersSaved paired comparison; unavailable values remain null
b only correct
8 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
21 answersSaved paired comparison; unavailable values remain null
parsed difference percent
21 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-32k-configOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-32k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-32k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
32K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
3 answersSaved paired comparison; unavailable values remain null
parsed difference percent
3 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-64k-assetOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-64k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-64k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
4 answersSaved paired comparison; unavailable values remain null
parsed difference percent
4 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-64k-assetOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-64k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-64k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
7 answersSaved paired comparison; unavailable values remain null
b only correct
5 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
20 answersSaved paired comparison; unavailable values remain null
parsed difference percent
20 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.774414 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-64k-assetOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-64k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-64k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
1 answersSaved paired comparison; unavailable values remain null
b only correct
4 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
3 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
8 answersSaved paired comparison; unavailable values remain null
parsed difference percent
8 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.375 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-64k-configOff · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-64k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-64k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
65,536 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
0 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
2 answersSaved paired comparison; unavailable values remain null
parsed difference percent
2 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-64k-configOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-64k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-64k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
7 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
7 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
16 answersSaved paired comparison; unavailable values remain null
parsed difference percent
16 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.015625 p-valueSaved paired comparison; unavailable values remain null
p holm
0.96875 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-64k-configOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-64k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-64k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
64K
Allocated context, baseline
65,536 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
0 answersSaved paired comparison; unavailable values remain null
b only correct
3 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
3 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
6 answersSaved paired comparison; unavailable values remain null
parsed difference percent
6 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.25 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-128k-assetOff · Q8Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-128k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-128k-asset

Test captured
Not recorded
Date precision
No accepted paired captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted paired allocation; component allocations are in result details
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
asset
Test bucket
128K
Allocated context, baseline
No accepted allocation
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
Unavailable Saved paired comparison; unavailable values remain null
a only correct
Unavailable Saved paired comparison; unavailable values remain null
b only correct
Unavailable Saved paired comparison; unavailable values remain null
accuracy b minus a pp
Unavailable Saved paired comparison; unavailable values remain null
parsed different
Unavailable Saved paired comparison; unavailable values remain null
parsed difference percent
Unavailable Saved paired comparison; unavailable values remain null
mcnemar exact p
Unavailable Saved paired comparison; unavailable values remain null
p holm
Unavailable Saved paired comparison; unavailable values remain null
holm family n
Unavailable Saved paired comparison; unavailable values remain null
holm reject 05
Unavailable 1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
UnavailableUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-128k-assetOff · Q4Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-128k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-128k-asset

Test captured
Not recorded
Date precision
No accepted paired captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted paired allocation; component allocations are in result details
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
asset
Test bucket
128K
Allocated context, baseline
No accepted allocation
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
Unavailable Saved paired comparison; unavailable values remain null
a only correct
Unavailable Saved paired comparison; unavailable values remain null
b only correct
Unavailable Saved paired comparison; unavailable values remain null
accuracy b minus a pp
Unavailable Saved paired comparison; unavailable values remain null
parsed different
Unavailable Saved paired comparison; unavailable values remain null
parsed difference percent
Unavailable Saved paired comparison; unavailable values remain null
mcnemar exact p
Unavailable Saved paired comparison; unavailable values remain null
p holm
Unavailable Saved paired comparison; unavailable values remain null
holm family n
Unavailable Saved paired comparison; unavailable values remain null
holm reject 05
Unavailable 1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
UnavailableUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-128k-assetOff · K8V4Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-128k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-128k-asset

Test captured
Not recorded
Date precision
No accepted paired captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted paired allocation; component allocations are in result details
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
asset
Test bucket
128K
Allocated context, baseline
No accepted allocation
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
Unavailable Saved paired comparison; unavailable values remain null
a only correct
Unavailable Saved paired comparison; unavailable values remain null
b only correct
Unavailable Saved paired comparison; unavailable values remain null
accuracy b minus a pp
Unavailable Saved paired comparison; unavailable values remain null
parsed different
Unavailable Saved paired comparison; unavailable values remain null
parsed difference percent
Unavailable Saved paired comparison; unavailable values remain null
mcnemar exact p
Unavailable Saved paired comparison; unavailable values remain null
p holm
Unavailable Saved paired comparison; unavailable values remain null
holm family n
Unavailable Saved paired comparison; unavailable values remain null
holm reject 05
Unavailable 1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
UnavailableUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-q8-128k-assetOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-q8-128k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-q8-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
Q4
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
6 answersSaved paired comparison; unavailable values remain null
b only correct
6 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
0 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
27 answersSaved paired comparison; unavailable values remain null
parsed difference percent
27 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-q8-128k-assetOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-q8-128k-asset

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-q8-128k-asset

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
K8V4
Task
asset
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
4 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-2 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
18 answersSaved paired comparison; unavailable values remain null
parsed difference percent
18 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.6875 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q8 · vs-f16-128k-configOff · Q8Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-128k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16-128k-config

Test captured
Not recorded
Date precision
No accepted paired captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted paired allocation; component allocations are in result details
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q8
Task
config
Test bucket
128K
Allocated context, baseline
No accepted allocation
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
Unavailable Saved paired comparison; unavailable values remain null
a only correct
Unavailable Saved paired comparison; unavailable values remain null
b only correct
Unavailable Saved paired comparison; unavailable values remain null
accuracy b minus a pp
Unavailable Saved paired comparison; unavailable values remain null
parsed different
Unavailable Saved paired comparison; unavailable values remain null
parsed difference percent
Unavailable Saved paired comparison; unavailable values remain null
mcnemar exact p
Unavailable Saved paired comparison; unavailable values remain null
p holm
Unavailable Saved paired comparison; unavailable values remain null
holm family n
Unavailable Saved paired comparison; unavailable values remain null
holm reject 05
Unavailable 1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
UnavailableUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-f16-128k-configOff · Q4Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-128k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16-128k-config

Test captured
Not recorded
Date precision
No accepted paired captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted paired allocation; component allocations are in result details
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
Q4
Task
config
Test bucket
128K
Allocated context, baseline
No accepted allocation
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
Unavailable Saved paired comparison; unavailable values remain null
a only correct
Unavailable Saved paired comparison; unavailable values remain null
b only correct
Unavailable Saved paired comparison; unavailable values remain null
accuracy b minus a pp
Unavailable Saved paired comparison; unavailable values remain null
parsed different
Unavailable Saved paired comparison; unavailable values remain null
parsed difference percent
Unavailable Saved paired comparison; unavailable values remain null
mcnemar exact p
Unavailable Saved paired comparison; unavailable values remain null
p holm
Unavailable Saved paired comparison; unavailable values remain null
holm family n
Unavailable Saved paired comparison; unavailable values remain null
holm reject 05
Unavailable 1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
UnavailableUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-f16-128k-configOff · K8V4Captured: Not recorded
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-128k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16-128k-config

Test captured
Not recorded
Date precision
No accepted paired captures for this configuration.
Capture timezone
Not recorded
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
No accepted paired allocation; component allocations are in result details
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
F16
Compared cache
K8V4
Task
config
Test bucket
128K
Allocated context, baseline
No accepted allocation
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
Unavailable Saved paired comparison; unavailable values remain null
a only correct
Unavailable Saved paired comparison; unavailable values remain null
b only correct
Unavailable Saved paired comparison; unavailable values remain null
accuracy b minus a pp
Unavailable Saved paired comparison; unavailable values remain null
parsed different
Unavailable Saved paired comparison; unavailable values remain null
parsed difference percent
Unavailable Saved paired comparison; unavailable values remain null
mcnemar exact p
Unavailable Saved paired comparison; unavailable values remain null
p holm
Unavailable Saved paired comparison; unavailable values remain null
holm family n
Unavailable Saved paired comparison; unavailable values remain null
holm reject 05
Unavailable 1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
UnavailableUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · Q4 · vs-q8-128k-configOff · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-q8-128k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-q8-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
Q4
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
8 answersSaved paired comparison; unavailable values remain null
b only correct
5 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-3 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
20 answersSaved paired comparison; unavailable values remain null
parsed difference percent
20 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
0.581055 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.
Mistral Small 3.2 · K8V4 · vs-q8-128k-configOff · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-q8-128k-config

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-q8-128k-config

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
4K–128K; bucket and task per result
MTP
Qwen: on (3 draft tokens); Mistral: off
Baseline cache
Q8
Compared cache
K8V4
Task
config
Test bucket
128K
Allocated context, baseline
131,072 tokens
Allocated context, compared
131,072 tokens
All measurements and denominators (10)
n
100 questionsSaved paired comparison; unavailable values remain null
a only correct
3 answersSaved paired comparison; unavailable values remain null
b only correct
2 answersSaved paired comparison; unavailable values remain null
accuracy b minus a pp
-1 percentage pointsSaved paired comparison; unavailable values remain null
parsed different
13 answersSaved paired comparison; unavailable values remain null
parsed difference percent
13 percentSaved paired comparison; unavailable values remain null
mcnemar exact p
1 p-valueSaved paired comparison; unavailable values remain null
p holm
1 p-valueSaved paired comparison; unavailable values remain null
holm family n
62 comparisonsSaved paired comparison; unavailable values remain null
holm reject 05
0 indicator1 only when Holm-adjusted p < 0.05

Unavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

—
——
—
Paired comparisonUnavailable Mistral F16/128K comparisons remain null. Paired question identity is within model. The 62-test family contains F16 comparisons and Q8 comparisons at 128K; no equivalence claim.

KV cache / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · pooled differences versus F16

Question-weighted paired correctness differences with 95% whole-document cluster-bootstrap intervals.

Read the source
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
Thinking
Off
MTP
Qwen: on (3 draft tokens); Mistral: off
K / V cache
F16 / Q8 / Q4 / K8V4; per result

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

6 results

Not measured in this profile · — = not available

KV cache · pooled differences versus F16. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · Q8 · vs-f16Off · Q8Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q8 · vs-f16

Qwen3.8-27B UD-Q6_K · Q8 · vs-f16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q8
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
MTP
Qwen: on (3 draft tokens); Mistral: off
Included buckets
4K, 16K, 32K, 64K, 128K
Cluster unit
Model, context bucket, task and document
Estimand
Question-weighted paired correctness difference
All measurements and denominators (8)
paired questions
1,000 countSaved paired question-weighted whole-document bootstrap
haystack clusters
72 countSaved paired question-weighted whole-document bootstrap
baseline correct
878 countSaved paired question-weighted whole-document bootstrap
comparison correct
871 countSaved paired question-weighted whole-document bootstrap
accuracy difference pp
-0.7 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 low pp
-1.764706 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 high pp
0.326087 percentage pointsSaved paired question-weighted whole-document bootstrap
resamples
10,000 resamplesSaved paired question-weighted whole-document bootstrap

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

—
——
—
Pooled comparison10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.
Qwen3.8-27B · Q4 · vs-f16Off · Q4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · Q4 · vs-f16

Qwen3.8-27B UD-Q6_K · Q4 · vs-f16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
MTP
Qwen: on (3 draft tokens); Mistral: off
Included buckets
4K, 16K, 32K, 64K, 128K
Cluster unit
Model, context bucket, task and document
Estimand
Question-weighted paired correctness difference
All measurements and denominators (8)
paired questions
1,000 countSaved paired question-weighted whole-document bootstrap
haystack clusters
72 countSaved paired question-weighted whole-document bootstrap
baseline correct
878 countSaved paired question-weighted whole-document bootstrap
comparison correct
882 countSaved paired question-weighted whole-document bootstrap
accuracy difference pp
0.4 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 low pp
-1.071429 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 high pp
1.914894 percentage pointsSaved paired question-weighted whole-document bootstrap
resamples
10,000 resamplesSaved paired question-weighted whole-document bootstrap

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

—
——
—
Pooled comparison10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.
Qwen3.8-27B · K8V4 · vs-f16Off · K8V4Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16

Qwen3.8-27B UD-Q6_K · K8V4 · vs-f16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
MTP
Qwen: on (3 draft tokens); Mistral: off
Included buckets
4K, 16K, 32K, 64K, 128K
Cluster unit
Model, context bucket, task and document
Estimand
Question-weighted paired correctness difference
All measurements and denominators (8)
paired questions
1,000 countSaved paired question-weighted whole-document bootstrap
haystack clusters
72 countSaved paired question-weighted whole-document bootstrap
baseline correct
878 countSaved paired question-weighted whole-document bootstrap
comparison correct
879 countSaved paired question-weighted whole-document bootstrap
accuracy difference pp
0.1 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 low pp
-0.869565 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 high pp
1.078431 percentage pointsSaved paired question-weighted whole-document bootstrap
resamples
10,000 resamplesSaved paired question-weighted whole-document bootstrap

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

—
——
—
Pooled comparison10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.
Mistral Small 3.2 · Q8 · vs-f16Off · Q8Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q8 · vs-f16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
Q8
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
MTP
Qwen: on (3 draft tokens); Mistral: off
Included buckets
4K, 16K, 32K, 64K
Cluster unit
Model, context bucket, task and document
Estimand
Question-weighted paired correctness difference
All measurements and denominators (8)
paired questions
800 countSaved paired question-weighted whole-document bootstrap
haystack clusters
64 countSaved paired question-weighted whole-document bootstrap
baseline correct
486 countSaved paired question-weighted whole-document bootstrap
comparison correct
485 countSaved paired question-weighted whole-document bootstrap
accuracy difference pp
-0.125 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 low pp
-0.833333 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 high pp
0.625 percentage pointsSaved paired question-weighted whole-document bootstrap
resamples
10,000 resamplesSaved paired question-weighted whole-document bootstrap

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

—
——
—
Pooled comparison10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.
Mistral Small 3.2 · Q4 · vs-f16Off · Q4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16

Mistral Small 3.2 24B Instruct 2506 Q6_K · Q4 · vs-f16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
Q4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
MTP
Qwen: on (3 draft tokens); Mistral: off
Included buckets
4K, 16K, 32K, 64K
Cluster unit
Model, context bucket, task and document
Estimand
Question-weighted paired correctness difference
All measurements and denominators (8)
paired questions
800 countSaved paired question-weighted whole-document bootstrap
haystack clusters
64 countSaved paired question-weighted whole-document bootstrap
baseline correct
486 countSaved paired question-weighted whole-document bootstrap
comparison correct
489 countSaved paired question-weighted whole-document bootstrap
accuracy difference pp
0.375 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 low pp
-2 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 high pp
2.567568 percentage pointsSaved paired question-weighted whole-document bootstrap
resamples
10,000 resamplesSaved paired question-weighted whole-document bootstrap

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

—
——
—
Pooled comparison10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.
Mistral Small 3.2 · K8V4 · vs-f16Off · K8V4Captured:
Capture, runtime & configuration for Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16

Mistral Small 3.2 24B Instruct 2506 Q6_K · K8V4 · vs-f16

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 / 131,072 tokens
K / V cache
K8V4
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Mistral Small 3.2 24B Instruct 2506 Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
Qwen 4K–128K; Mistral 4K–64K
MTP
Qwen: on (3 draft tokens); Mistral: off
Included buckets
4K, 16K, 32K, 64K
Cluster unit
Model, context bucket, task and document
Estimand
Question-weighted paired correctness difference
All measurements and denominators (8)
paired questions
800 countSaved paired question-weighted whole-document bootstrap
haystack clusters
64 countSaved paired question-weighted whole-document bootstrap
baseline correct
486 countSaved paired question-weighted whole-document bootstrap
comparison correct
485 countSaved paired question-weighted whole-document bootstrap
accuracy difference pp
-0.125 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 low pp
-1.555556 percentage pointsSaved paired question-weighted whole-document bootstrap
cluster bootstrap95 high pp
1.333333 percentage pointsSaved paired question-weighted whole-document bootstrap
resamples
10,000 resamplesSaved paired question-weighted whole-document bootstrap

10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

—
——
—
Pooled comparison10,000 resamples. Intervals include zero; this is no detectable difference, not equivalence or a universal effect bound. Long-context task cells have four documents.

Performance / Reviewed: 5 Nov 2026; capture dates are per result

KV cache · Qwen MTP on/off

Qwen F16 paired short-answer MTP comparison: 200 questions, no parsed or byte differences.

Read the source
Highest recorded rate

124.38 tok/s

Qwen3.8-27B · F16 · mtp-on
Test captured
Timestamp precision in result details
Application / version
llama-server b11580
Runtime / extension
llama.cpp b11580 (4413a1924)
Benchmark
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocations differ
Thinking
Off
MTP
On versus off; per result
K / V cache
F16 / F16

MTP on allocated 65,536 tokens; off allocated 36,864, and boots differ. Observed 2.24× ratio is not an isolated causal speedup or universal answer-preservation guarantee.

2 results

Median per-request generation tok/s over 200 short answers · — = not available

KV cache · Qwen MTP on/off. Scores are out of 100; No primary score; named metrics retain their own units. Time basis: Not reported for this profile.
Model & configurationScore / 100Generation tok/sNot reported for this profileMemory see basisEvidence
Qwen3.8-27B · F16 · mtp-onOff · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16 · mtp-on

Qwen3.8-27B UD-Q6_K · F16 · mtp-on

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
65,536 tokens
K / V cache
F16
MTP
On, maximum 3 draft tokens; draft KV F16
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocations differ
MTP
On versus off; per result
MTP
on
Allocated context
65,536 tokens
All measurements and denominators (6)
paired questions
200 questionsSame 200 questions
parsed differences
0 answersOn versus off
byte differences
0 answersOn versus off
median speed ratio on over off
2.237247 ratioDifferent boot and allocation; descriptive comparison
allocated context tokens
65,536 tokensActual allocated capacity
generation tps time weighted
118.458616 tok/sTotal generated tokens divided by total generation time

MTP on allocated 65,536 tokens; off allocated 36,864, and boots differ. Observed 2.24× ratio is not an isolated causal speedup or universal answer-preservation guarantee.

—
124.38—
—
Ablation comparisonMTP on allocated 65,536 tokens; off allocated 36,864, and boots differ. Observed 2.24× ratio is not an isolated causal speedup or universal answer-preservation guarantee.
Qwen3.8-27B · F16 · mtp-offOff · F16Captured:
Capture, runtime & configuration for Qwen3.8-27B UD-Q6_K · F16 · mtp-off

Qwen3.8-27B UD-Q6_K · F16 · mtp-off

Test captured
Date precision
Range of accepted question request envelopes; intervals can include downtime.
Capture started
Capture finished
Capture timezone
UTC
Application / version
llama-server b11580
Inference engine / build
llama.cpp b11580 (4413a1924)
OS / environment
Windows; RTX 5090 32 GB, display-attached as reported by Casey; Intel i9-13900K; 128 GB DDR5; benchmark-era Windows build not recorded
GPU driver version
617.14
CUDA runtime version
Windows CUDA 13.4 build
Thinking
Off
Sampling
Greedy; temperature 0
Output cap
48 tokens
Flash attention
Enabled
GPU offload
Full for accepted runs
Batch / microbatch
2048 / 512
Parallel requests
1
Automatic fit / context shifting
Disabled
Context capacity
36,864 tokens
K / V cache
F16
MTP
Off
Prompt reuse
One document prefix reused across questions; Qwen primed before questions
Weight package
Qwen3.8-27B UD-Q6_K
Benchmark version
KV-cache retrieval study; deterministic exact-match grading
Context capacity
32K test bucket; allocations differ
MTP
On versus off; per result
MTP
off
Allocated context
36,864 tokens
All measurements and denominators (6)
paired questions
200 questionsSame 200 questions
parsed differences
0 answersOn versus off
byte differences
0 answersOn versus off
median speed ratio on over off
2.237247 ratioDifferent boot and allocation; descriptive comparison
allocated context tokens
36,864 tokensActual allocated capacity
generation tps time weighted
55.473492 tok/sTotal generated tokens divided by total generation time

MTP on allocated 65,536 tokens; off allocated 36,864, and boots differ. Observed 2.24× ratio is not an isolated causal speedup or universal answer-preservation guarantee.

—
55.60—
—
Ablation comparisonMTP on allocated 65,536 tokens; off allocated 36,864, and boots differ. Observed 2.24× ratio is not an isolated causal speedup or universal answer-preservation guarantee.

Records include repeated configurations, evaluator revisions, and incomplete attempts. They are not a count of unique models or independent reruns.

SMALLER GPU, CLEARER EXPECTATIONS

12 / 16 GB fit screening.

11 files from the reconciled comparison. Values are the highest available dedicated-process samples at a 64K allocation with Q4 K/V across QuantBench and context probes. They do not establish quality rankings or physical target-card fit.

Candidate capture dates & runtimes: Dates, versions, and settings for all 11 candidates appear below. The 11 process-memory values were measured on RTX 5090; smaller-card fit is projected.

Workload estimate + 2 GiB reserveScreen against 12 GiB and 16 GiB budgets. Physical smaller-card testing remains unverified.
Projected memory screening with an assumed 2 GiB desktop and application reserve
Model / weight quantMeasured process peakWith reserve12 GiB budget16 GiB budget
Qwen3.8-27B Heretic GSQ-RCOIQ3_XXS11.34 GiB13.34 GiBAbove estimateWithin estimate
Ternary Bonsai 2 27BPTQ1_07.48 GiB9.48 GiBWithin estimateWithin estimate
Ternary Bonsai 2 27BPQ2_08.59 GiB10.59 GiBWithin estimateWithin estimate
Gemma 4 12B IT QATQ4_07.91 GiB9.91 GiBWithin estimateWithin estimate
Qwen3.5 9BQ5_K_M8.84 GiB10.84 GiBWithin estimateWithin estimate
Qwen3.5 4BQ5_K_M4.35 GiB6.35 GiBWithin estimateWithin estimate
Ornith 1.5 9BQ5_K_M7.90 GiB9.90 GiBWithin estimateWithin estimate
Qwen3 4B Instruct 2507Q5_K_M6.01 GiB8.01 GiBWithin estimateWithin estimate
Ministral 3 14B Instruct 2512Q4_K_M10.93 GiB12.93 GiBAbove estimateWithin estimate
Ministral 3 8B Instruct 2512Q4_K_M7.75 GiB9.75 GiBWithin estimateWithin estimate
Ministral 3 3B Instruct 2512Q5_K_M4.92 GiB6.92 GiBWithin estimateWithin estimate

Approximately two-second Windows DedicatedUsage samples exclude other processes and shared memory and can miss short transients. The reserve is a planning choice. Configured full offload does not prove actual layer residency.

Capture dates, runtimes & settings for all 11 candidates

These dates describe the selected process-memory samples. Quality profiles carry their own capture dates and configurations. Missing settings stay unavailable.

Qwen3.8-27B Heretic GSQ-RCO IQ3_XXS · 30 Sept 2026 – 1 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Ternary Bonsai 2 27B PTQ1_0 · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Ternary Bonsai 2 27B PQ2_0 · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
PrismML llama.cpp b10709
Inference engine / build
PrismML llama.cpp b10709 · 9a9394a895b96003ca842a6041cb28ac49a108f7
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Application build readback
b10709-9a9394a89
Application identity
PrismML native llama-server; application and inference engine share this binary build.
Gemma 4 12B IT QAT Q4_0 · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Qwen3.5 9B Q5_K_M · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Qwen3.5 4B Q5_K_M · 30 Sept 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
e87f176479d0855a907a41277aca2f8ee7a09523
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Ornith 1.5 9B Q5_K_M · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Qwen3 4B Instruct 2507 Q5_K_M · 6 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
Selected runtime extension
[email protected]
Loaded engine build and upstream commit not recorded.
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
ae44f08e1392f39c0e474af10c3ff8355c8b6688
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Ministral 3 14B Instruct 2512 Q4_K_M · 30 Sept 2026 – 6 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
74fac473c43357d7fb2671713608183cc72496d0
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Ministral 3 8B Instruct 2512 Q4_K_M · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
0102285ad796bd99af90f58de616092e5630e970
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Ministral 3 3B Instruct 2512 Q5_K_M · 30 Sept 2026 – 5 Oct 2026

Dedicated process samples on RTX 5090. Smaller-card fit is projected; quality is reported in separate profiles.

Test captured
Date precision
Selected request timestamps and task environment snapshots; not an uninterrupted suite duration
Capture timezone
UTC
Application / version
LM Studio 0.4.25 Build 1
Inference engine / build
llama.cpp · version not recorded
OS / environment
win32 10.0.26200
GPU driver version
617.14
CUDA runtime version
Not recorded for this capture
Context capacity
65,536 tokens
K / V cache
Q4_0 / Q4_0
Thinking
Available On/Off workloads; not one paired score
MTP
Off
Memory tool
Windows GPU Process Memory / DedicatedUsage
Sampling interval
Approximately 2 seconds
Fit qualification
Projected from RTX 5090; physical 12/16 GB not tested
Selected runtime extensions
llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.47.0; llama.cpp-win-x86_64-nvidia-cuda12-avx2 2.51.0
Driver-supported CUDA
13.4; this is not the runtime toolkit version
Model repository revision
eb599d408350ea2bb60452cb86be7c7b2fc28227
Model revision scope
Exact recorded GGUF content; completion status is unchanged
Other context sizes and quality

The memory profile includes measured 32K/64K probes and separately labeled 128K extrapolations where available. The article also separates Bonsai Q4 and Q8 memory at a 262,144-token allocation. Successful allocation does not establish long-context answer quality.

READ THE CONDITIONS FIRST

A score needs its settings.

01

Compare within a campaign.

QuantBench versions use different tasks and scoring rules. HomHaystack versions use different lengths and weights. A 94 in one profile does not outrank an 83 in another.

02

Capacity is not input length.

A loaded 64K window does not prove a 64K prompt was tested. Weight quant, K/V precision, thinking, and MTP all affect the result and memory use.

03

Speed is only part of the wait.

Generation rates exclude prompt processing. Mean and median rates stay labeled. Suite duration is separate from time to first token and time to a usable answer.

04

Fit estimates have limits.

Whole-board peak, peak above baseline, and projected use are different measures. GB and GiB remain distinct. RTX 5090 speed is not a prediction for a smaller GPU.

Blender structural /8 checks and subjective editorial /10 ratings have their own scales. Time may mean a suite, an individual attempt or a mean attempt; retain its label. Unavailable results stay unavailable. Partial, timed-out, unsupported, and regraded entries retain their status. This explorer does not calculate a cross-campaign or combined quality score.

How capture dates and runtime versions are recorded

A campaign date applies to its grouped tests and attempts; it does not imply an exact timestamp or successful completion for every row. Exact task timestamps include the original UTC offset when available. Regraded results retain the original capture metadata because rescoring saved answers is not new inference.

Application versions and inference-engine builds are separate: an LM Studio version does not establish its llama.cpp build. OS, driver, CUDA, and other runtime versions are shown only when tied to the capture. “Not recorded” means the available source does not establish that field; current machine settings and requested retest settings are not substituted.

TRACEABLE RESULTS

Sources & coverage.

Standalone byteshape export

2026-09-25_20-19-55-764_CDT.xlsx

Captured September 25 CDT: 50/50 QuantBench requests and 9/9 Legacy HomHaystack requests. LM Studio 0.4.25 Build 1 with CUDA12 llama.cpp extension 2.43.0 selected. The workbook includes task start/finish, verified settings, task-scoped memory, and median generation rates. The upstream engine commit is not recorded.

NVFP4 vs GGUF: current results and repair

Nine configurations, 18 current result records: 448 completed QuantBench questions and 80 completed reduced HomHaystack requests. ThinkingCap GGUF has no QuantBench overall at 48/50; OrcaRouter GGUF has no HomHaystack overall at 8/9.

Repaired vLLM 0.29.0 results are separate from the original vLLM 0.27.1 speed baseline. ThinkingCap NVFP4 completed both suites after repair. All generation rates exclude prefill; effective request rates remain separate.

Read the comparison and runtime repair →

12/16 GB model comparison

Eleven measured process-memory peaks and projected 12/16 GB screenings are listed above. The new article links 71 records across 11 profiles, including both thinking modes, original/adjusted Instruct cohorts, separate Q4/Q8 Haystack components and memory.

Benchmark editions and comparison coverage

Benchmark editions use different tasks and scoring rules. Original video-era scores and later saved-answer regrades have distinct profiles. The original Q2–Q5 Haystack records include all 12 final Reasoning-v2 start times; CDT is assumed for timestamps recorded without a UTC offset.

Some ISTA results also appear in the uncensored campaign tables, with the ISTA article linked for additional analysis. Publisher benchmarks and the qualitative Opus/Sol website demonstration are covered in the frontier-model article.

DEEPWAKELABS