Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 85 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in mathematics, where it averages 96.5 against 23.1. The single biggest benchmark swing on the page is AIME 2024, 99 to 23.1.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while GPT-4.1 mini 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 Deep Think gives you the larger context window at 2M, compared with 1M for GPT-4.1 mini.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
82.8
GPT-4.1 mini
75.9
Gemini 3 Pro Deep Think
69
GPT-4.1 mini
23.6
Gemini 3 Pro Deep Think
96.5
GPT-4.1 mini
23.1
Gemini 3 Pro Deep Think
89
GPT-4.1 mini
88.5
Gemini 3 Pro Deep Think is ahead overall, 85 to 35. The biggest single separator in this matchup is AIME 2024, where the scores are 99 and 23.1.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 82.8 versus 75.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for coding in this comparison, averaging 69 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for math in this comparison, averaging 96.5 versus 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for instruction following in this comparison, averaging 89 versus 88.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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