Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Qwen2.5-1M is clearly ahead on the aggregate, 73 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 Qwen2.5-1M 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. Qwen2.5-1M gives you the larger context window at 1M, compared with 200K for o1-pro.
Pick Qwen2.5-1M if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Qwen2.5-1M
68.5
o1-pro
79
Qwen2.5-1M
83.9
o1-pro
86
Qwen2.5-1M is ahead overall, 73 to 33. The biggest single separator in this matchup is GPQA, where the scores are 83 and 79.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 68.5. 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 83.9. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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