Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3.1 Flash-Lite is clearly ahead on the aggregate, 55 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 nano is the reasoning model in the pair, while Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite gives you the larger context window at 1M, compared with 400K for GPT-5 nano.
Pick Gemini 3.1 Flash-Lite if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if mathematics is the priority or you want the stronger reasoning-first profile.
Gemini 3.1 Flash-Lite
51.2
GPT-5 nano
71.2
Gemini 3.1 Flash-Lite
63.1
GPT-5 nano
85.2
Gemini 3.1 Flash-Lite is ahead overall, 55 to 31. The biggest single separator in this matchup is AIME 2025, where the scores are 64 and 85.2.
GPT-5 nano has the edge for knowledge tasks in this comparison, averaging 71.2 versus 51.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5 nano has the edge for math in this comparison, averaging 85.2 versus 63.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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