Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
MiMo-V2-Flash is clearly ahead on the aggregate, 71 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in coding, where it averages 55 against 54.8. The single biggest benchmark swing on the page is HumanEval, 71 to 54.8. Mixtral 8x22B Instruct v0.1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MiMo-V2-Flash is the reasoning model in the pair, while Mixtral 8x22B Instruct v0.1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2-Flash gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick MiMo-V2-Flash if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Flash
65.5
Mixtral 8x22B Instruct v0.1
71.4
MiMo-V2-Flash
55
Mixtral 8x22B Instruct v0.1
54.8
MiMo-V2-Flash is ahead overall, 71 to 28. The biggest single separator in this matchup is HumanEval, where the scores are 71 and 54.8.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 71.4 versus 65.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 55 versus 54.8. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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