Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o is clearly ahead on the aggregate, 60 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o's sharpest advantage is in mathematics, where it averages 66.9 against 23.1. The single biggest benchmark swing on the page is AIME 2024, 68 to 23.1. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 6.3x on output cost alone. GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for GPT-4o.
Pick GPT-4o if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-4o
53.8
GPT-4.1 mini
75.9
GPT-4o
38.7
GPT-4.1 mini
23.6
GPT-4o
66.9
GPT-4.1 mini
23.1
GPT-4o
82
GPT-4.1 mini
88.5
GPT-4o is ahead overall, 60 to 35. The biggest single separator in this matchup is AIME 2024, where the scores are 68 and 23.1.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 53.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o has the edge for coding in this comparison, averaging 38.7 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-4o has the edge for math in this comparison, averaging 66.9 versus 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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