Local LLM Benchmarks

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qwen3.8-flash-next-abliterated (pool)

Quantization
W4A16-NVFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-27
Hardware
2× NVIDIA DGX Spark, je 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
72.5

Categories

CategoryScore
Knowledge & reasoning77.2
Math72.0
Instruction following55.2
Code77.0
German81.4

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 87.0 ± 1.9 300
Knowledge & reasoning gpqa_diamond_gen 75.3 ± 3.1 198
Knowledge & reasoning musr_gen 69.2 ± 2.9 250
Math omni_math_gen 72.0 ± 2.8 250
Instruction following ifbench 43.7 ± 2.9 300
Instruction following ifeval 90.0 ± 2.5 150
Code livecodebench_gen 77.0 ± 3.0 200
German mmlu_prox_de 86.7 ± 2.0 300
German include_de_gen 70.8 ± 3.7 154

± is the standard error; the 95% interval spans roughly 1.96 standard errors around the score.

Speed

MeasureContext (target)Context (actual)Medianp10p90n
Generation [t/s] – – 41.2 38.2 41.6 5
Prompt processing [t/s] 512 529 1429.4 878.3 1446.7 5
Prompt processing [t/s] 4096 4024 2569.1 2017.1 2570.7 5
Prompt processing [t/s] 16384 16001 2721.6 2264.6 2727.5 5
Time to first token [ms] 512 529 370.1 365.7 764.0 5
Time to first token [ms] 4096 4024 1566.3 1565.3 2090.1 5
Time to first token [ms] 16384 16001 5879.2 5866.5 7247.8 5

Measured directly at the inference server.