Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 34. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o mini's sharpest advantage is in coding, where it averages 87.2 against 17. The single biggest benchmark swing on the page is HumanEval, 87.2 to 22.
GPT-4o mini gives you the larger context window at 128K, compared with 32K for Mistral 7B v0.3.
Pick GPT-4o mini if you want the stronger benchmark profile. Mistral 7B v0.3 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-4o mini
82
Mistral 7B v0.3
28.3
GPT-4o mini
87.2
Mistral 7B v0.3
17
GPT-4o mini
87
Mistral 7B v0.3
62
GPT-4o mini is ahead overall, 43 to 34. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 22.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 28.3. 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 17. 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 62. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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