Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Mistral 8x7B is clearly ahead on the aggregate, 57 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o mini gives you the larger context window at 128K, compared with 32K for Mistral 8x7B.
Pick Mistral 8x7B if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority or you need the larger 128K context window.
Mistral 8x7B
54
GPT-4o mini
82
Mistral 8x7B
35.3
GPT-4o mini
87.2
Mistral 8x7B
74
GPT-4o mini
87
Mistral 8x7B is ahead overall, 57 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 55 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 54. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 35.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 74. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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