Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Flash is clearly ahead on the aggregate, 65 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Flash's sharpest advantage is in mathematics, where it averages 70.4 against 26.4. The single biggest benchmark swing on the page is AIME 2024, 72 to 26.4. GPT-4.1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.50 input / $3.00 output per 1M tokens for Gemini 3 Flash. That is roughly 2.7x on output cost alone.
Pick Gemini 3 Flash if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority.
Gemini 3 Flash
58.2
GPT-4.1
78.3
Gemini 3 Flash
47.3
GPT-4.1
54.6
Gemini 3 Flash
70.4
GPT-4.1
26.4
Gemini 3 Flash
85
GPT-4.1
87.4
Gemini 3 Flash is ahead overall, 65 to 43. The biggest single separator in this matchup is AIME 2024, where the scores are 72 and 26.4.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 58.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 47.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 3 Flash has the edge for math in this comparison, averaging 70.4 versus 26.4. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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