Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 2.5 Pro is clearly ahead on the aggregate, 72 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in mathematics, where it averages 83.1 against 23.1. The single biggest benchmark swing on the page is AIME 2024, 86 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.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 3.1x on output cost alone.
Pick Gemini 2.5 Pro 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.
Gemini 2.5 Pro
67.5
GPT-4.1 mini
75.9
Gemini 2.5 Pro
52.3
GPT-4.1 mini
23.6
Gemini 2.5 Pro
83.1
GPT-4.1 mini
23.1
Gemini 2.5 Pro
83
GPT-4.1 mini
88.5
Gemini 2.5 Pro is ahead overall, 72 to 35. The biggest single separator in this matchup is AIME 2024, where the scores are 86 and 23.1.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 67.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 52.3 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for math in this comparison, averaging 83.1 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 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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