Local LLM Benchmarks

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qwen3.8-27b-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
64.2

Categories

CategoryScore
Knowledge & reasoning69.9
Math60.4
Instruction following49.5
Code65.0
German76.3

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 80.3 ± 2.3 300
Knowledge & reasoning gpqa_diamond_gen 63.6 ± 3.4 198
Knowledge & reasoning musr_gen 65.6 ± 3.0 250
Math omni_math_gen 60.4 ± 3.1 250
Instruction following ifbench 38.3 ± 2.8 300
Instruction following ifeval 83.3 ± 3.1 150
Code livecodebench_gen 65.0 ± 3.4 200
German mmlu_prox_de 79.0 ± 2.4 300
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] – – 15.1 14.3 15.6 5
Prompt processing [t/s] 512 529 1836.6 1822.4 1852.5 5
Prompt processing [t/s] 4096 4024 2550.6 2342.9 2556.1 5
Prompt processing [t/s] 16384 16001 1734.3 1676.5 1735.1 5
Time to first token [ms] 512 529 288.0 285.3 290.3 5
Time to first token [ms] 4096 4024 1577.7 1574.2 1726.3 5
Time to first token [ms] 16384 16001 9226.4 9221.8 9551.4 5

Measured directly at the inference server.