Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o mini's sharpest advantage is in knowledge, where it averages 82 against 79.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for GPT-4o mini. That is roughly 1000.0x on output cost alone. o1-pro is the reasoning model in the pair, while GPT-4o 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. o1-pro gives you the larger context window at 200K, compared with 128K for GPT-4o mini.
Pick GPT-4o mini if you want the stronger benchmark profile. o1-pro only becomes the better choice if you need the larger 200K context window or you want the stronger reasoning-first profile.
GPT-4o mini
82
o1-pro
79
GPT-4o mini is ahead overall, 43 to 33.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 79. o1-pro stays close enough that the answer can still flip depending on your workload.
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