Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 1.0 Pro is clearly ahead on the aggregate, 53 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 1.0 Pro's sharpest advantage is in mathematics, where it averages 62.4 against 23.1. The single biggest benchmark swing on the page is AIME 2024, 64 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-4.1 mini gives you the larger context window at 1M, compared with 32K for Gemini 1.0 Pro.
Pick Gemini 1.0 Pro if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Gemini 1.0 Pro
49.5
GPT-4.1 mini
75.9
Gemini 1.0 Pro
25
GPT-4.1 mini
23.6
Gemini 1.0 Pro
62.4
GPT-4.1 mini
23.1
Gemini 1.0 Pro
77
GPT-4.1 mini
88.5
Gemini 1.0 Pro is ahead overall, 53 to 35. The biggest single separator in this matchup is AIME 2024, where the scores are 64 and 23.1.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 49.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for coding in this comparison, averaging 25 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for math in this comparison, averaging 62.4 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 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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