Local LLM Benchmarks

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qwen3.5-9b-heretic-v2-mtp

Quantization
NVFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-18
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
51.7

Categories

CategoryScore
Knowledge & reasoning65.1
Math35.6
Instruction following44.1
Code46.5
German67.0

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 76.3 ± 2.5 300
Knowledge & reasoning gpqa_diamond_gen 58.1 ± 3.5 198
Knowledge & reasoning musr_gen 60.8 ± 3.1 250
Math omni_math_gen 35.6 ± 3.0 250
Instruction following ifbench 29.7 ± 2.6 300
Instruction following ifeval 88.0 ± 2.7 150
Code livecodebench_gen 46.5 ± 3.5 200
German mmlu_prox_de 69.3 ± 2.7 300
German include_de_gen 62.3 ± 3.9 154

± 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] – – 31.5 31.0 32.0 5
Prompt processing [t/s] 512 529 4737.2 4672.5 4758.4 5
Prompt processing [t/s] 4096 4024 6290.9 6277.2 6307.3 5
Prompt processing [t/s] 16384 16001 5096.4 5083.6 5104.6 5
Time to first token [ms] 512 529 111.7 111.2 113.1 5
Time to first token [ms] 4096 4024 639.7 638.0 641.1 5
Time to first token [ms] 16384 16001 3139.6 3134.6 3147.6 5

Measured directly at the inference server.