Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek V3.1 (Reasoning) is clearly ahead on the aggregate, 37 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 nano gives you the larger context window at 400K, compared with 128K for DeepSeek V3.1 (Reasoning).
Pick DeepSeek V3.1 (Reasoning) if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if mathematics is the priority or you need the larger 400K context window.
DeepSeek V3.1 (Reasoning)
31.7
GPT-5 nano
71.2
DeepSeek V3.1 (Reasoning)
36.6
GPT-5 nano
85.2
DeepSeek V3.1 (Reasoning) is ahead overall, 37 to 31. The biggest single separator in this matchup is AIME 2025, where the scores are 35 and 85.2.
GPT-5 nano has the edge for knowledge tasks in this comparison, averaging 71.2 versus 31.7. 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 36.6. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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