Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Mistral 8x7B is clearly ahead on the aggregate, 57 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is the reasoning model in the pair, while Mistral 8x7B 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. o1-pro gives you the larger context window at 200K, compared with 32K for Mistral 8x7B.
Pick Mistral 8x7B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Mistral 8x7B
54
o1-pro
79
Mistral 8x7B
65.1
o1-pro
86
Mistral 8x7B is ahead overall, 57 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 67 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 54. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 65.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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