Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Mistral 7B v0.3 finishes one point ahead overall, 34 to 33. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
o1-pro is the reasoning model in the pair, while Mistral 7B v0.3 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 7B v0.3.
Pick Mistral 7B v0.3 if you want the stronger benchmark profile. o1-pro only becomes the better choice if mathematics is the priority or you need the larger 200K context window.
Mistral 7B v0.3
28.3
o1-pro
79
Mistral 7B v0.3
32.9
o1-pro
86
Mistral 7B v0.3 is ahead overall, 34 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 32 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 28.3. 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 32.9. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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