Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Pro is clearly ahead on the aggregate, 84 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in mathematics, where it averages 96.4 against 85.2. The single biggest benchmark swing on the page is GPQA, 97 to 71.2.
GPT-5 nano is the reasoning model in the pair, while Gemini 3 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro gives you the larger context window at 2M, compared with 400K for GPT-5 nano.
Pick Gemini 3 Pro if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3 Pro
81.2
GPT-5 nano
71.2
Gemini 3 Pro
96.4
GPT-5 nano
85.2
Gemini 3 Pro is ahead overall, 84 to 31. The biggest single separator in this matchup is GPQA, where the scores are 97 and 71.2.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 81.2 versus 71.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for math in this comparison, averaging 96.4 versus 85.2. Inside this category, AIME 2025 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.