Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3.1 Pro is clearly ahead on the aggregate, 89 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Pro's sharpest advantage is in mathematics, where it averages 97.1 against 26.4. The single biggest benchmark swing on the page is AIME 2024, 99 to 26.4.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 3.1 Pro.
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3.1 Pro
86
GPT-4.1
78.3
Gemini 3.1 Pro
79
GPT-4.1
54.6
Gemini 3.1 Pro
97.1
GPT-4.1
26.4
Gemini 3.1 Pro
95
GPT-4.1
87.4
Gemini 3.1 Pro is ahead overall, 89 to 43. The biggest single separator in this matchup is AIME 2024, where the scores are 99 and 26.4.
Gemini 3.1 Pro has the edge for knowledge tasks in this comparison, averaging 86 versus 78.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for coding in this comparison, averaging 79 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for math in this comparison, averaging 97.1 versus 26.4. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for instruction following in this comparison, averaging 95 versus 87.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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