Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Mistral 8x7B is clearly ahead on the aggregate, 57 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral 8x7B's sharpest advantage is in mathematics, where it averages 65.1 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 67 to 9.8. GPT-4.1 nano does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 nano gives you the larger context window at 1M, compared with 32K for Mistral 8x7B.
Pick Mistral 8x7B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Mistral 8x7B
54
GPT-4.1 nano
65.2
Mistral 8x7B
65.1
GPT-4.1 nano
9.8
Mistral 8x7B
78
GPT-4.1 nano
83.2
Mistral 8x7B is ahead overall, 57 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 67 and 9.8.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 65.2 versus 54. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for math in this comparison, averaging 65.1 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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