Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Mistral 8x7B is clearly ahead on the aggregate, 57 to 35. 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 23.1. The single biggest benchmark swing on the page is AIME 2024, 67 to 23.1. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini 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 mini only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Mistral 8x7B
54
GPT-4.1 mini
75.9
Mistral 8x7B
35.3
GPT-4.1 mini
23.6
Mistral 8x7B
65.1
GPT-4.1 mini
23.1
Mistral 8x7B
78
GPT-4.1 mini
88.5
Mistral 8x7B is ahead overall, 57 to 35. The biggest single separator in this matchup is AIME 2024, where the scores are 67 and 23.1.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 54. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for coding in this comparison, averaging 35.3 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for math in this comparison, averaging 65.1 versus 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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