Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 1.0 Pro is clearly ahead on the aggregate, 53 to 23. 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 9.8. The single biggest benchmark swing on the page is AIME 2024, 64 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.
GPT-4.1 nano 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 nano 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 nano
65.2
Gemini 1.0 Pro
62.4
GPT-4.1 nano
9.8
Gemini 1.0 Pro
77
GPT-4.1 nano
83.2
Gemini 1.0 Pro is ahead overall, 53 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 64 and 9.8.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 65.2 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 math in this comparison, averaging 62.4 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 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.