Local LLM Benchmarks

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gpt-oss-120b

Quantization
MXFP4
Reasoning
on
Profile
quick
Suite
v2b
Date
2026-09-18 – 2026-09-19
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
73.1

Categories

CategoryScore
Knowledge & reasoning68.5
Math70.4
Instruction following66.1
Code83.0
German77.4

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 71.0 ± 2.6 300
Knowledge & reasoning gpqa_diamond_gen 68.2 ± 3.3 198
Knowledge & reasoning musr_gen 66.4 ± 3.0 250
Math omni_math_gen 70.4 ± 2.9 250
Instruction following ifbench 60.0 ± 2.8 300
Instruction following ifeval 84.7 ± 3.0 150
Code livecodebench_gen 83.0 ± 2.7 200
German mmlu_prox_de 80.3 ± 2.3 300
German include_de_gen 71.4 ± 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
No speed measurement.

Measured directly at the inference server.