Local LLM Benchmarks

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mimo-v2.6-flash (pool)

Quantization
FP8 + MXFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-26 – 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
59.4

Categories

CategoryScore
Knowledge & reasoning69.7
Math41.6
Instruction following49.8
Code61.5
German74.5

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 82.0 ± 2.2 300
Knowledge & reasoning gpqa_diamond_gen 68.7 ± 3.3 198
Knowledge & reasoning musr_gen 58.4 ± 3.1 250
Math omni_math_gen 41.6 ± 3.1 250
Instruction following ifbench 37.0 ± 2.8 300
Instruction following ifeval 88.7 ± 2.6 150
Code livecodebench_gen 61.5 ± 3.4 200
German mmlu_prox_de 78.7 ± 2.4 300
German include_de_gen 66.2 ± 3.8 154

± 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] – – 27.1 25.4 28.2 5
Prompt processing [t/s] 512 525 959.7 957.4 966.7 5
Prompt processing [t/s] 4096 4024 2177.6 2132.8 2178.6 5
Prompt processing [t/s] 16384 16036 2097.1 2093.4 2106.5 5
Time to first token [ms] 512 525 546.0 543.1 548.4 5
Time to first token [ms] 4096 4024 1847.9 1847.0 1887.0 5
Time to first token [ms] 16384 16036 7646.6 7612.6 7660.1 5

Measured directly at the inference server.