Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek V3.2 is clearly ahead on the aggregate, 72 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2's sharpest advantage is in mathematics, where it averages 82.8 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 86 to 9.8.
GPT-4.1 nano gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
Pick DeepSeek V3.2 if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window.
DeepSeek V3.2
68.5
GPT-4.1 nano
65.2
DeepSeek V3.2
82.8
GPT-4.1 nano
9.8
DeepSeek V3.2
85
GPT-4.1 nano
83.2
DeepSeek V3.2 is ahead overall, 72 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 86 and 9.8.
DeepSeek V3.2 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 65.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for math in this comparison, averaging 82.8 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for instruction following in this comparison, averaging 85 versus 83.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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