Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4.1 mini has the cleaner overall profile here, landing at 35 versus 33. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 375.0x on output cost alone. o1-pro is the reasoning model in the pair, while GPT-4.1 mini 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. GPT-4.1 mini gives you the larger context window at 1M, compared with 200K for o1-pro.
Pick GPT-4.1 mini if you want the stronger benchmark profile. o1-pro only becomes the better choice if mathematics is the priority or you want the stronger reasoning-first profile.
GPT-4.1 mini
75.9
o1-pro
79
GPT-4.1 mini
23.1
o1-pro
86
GPT-4.1 mini is ahead overall, 35 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 23.1 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 75.9. 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 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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