Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Mistral 8x7B v0.2 and o1-pro finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
o1-pro is the reasoning model in the pair, while Mistral 8x7B v0.2 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 v0.2.
Treat this as a split decision. Mistral 8x7B v0.2 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; o1-pro is the better fit if mathematics is the priority or you need the larger 200K context window.
Mistral 8x7B v0.2
27
o1-pro
79
Mistral 8x7B v0.2
31.9
o1-pro
86
Mistral 8x7B v0.2 and o1-pro are tied on overall score, so the right pick depends on which category matters most for your use case.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 27. 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 31.9. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.