Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 2.5 Flash is clearly ahead on the aggregate, 49 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Flash's sharpest advantage is in mathematics, where it averages 51.9 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 52 to 9.8. GPT-4.1 nano does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemini 2.5 Flash is also the more expensive model on tokens at $0.15 input / $0.60 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano.
Pick Gemini 2.5 Flash if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Gemini 2.5 Flash
42.7
GPT-4.1 nano
65.2
Gemini 2.5 Flash
51.9
GPT-4.1 nano
9.8
Gemini 2.5 Flash
79
GPT-4.1 nano
83.2
Gemini 2.5 Flash is ahead overall, 49 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 52 and 9.8.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 65.2 versus 42.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 2.5 Flash has the edge for math in this comparison, averaging 51.9 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 79. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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