Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek V3.2 (Thinking) is clearly ahead on the aggregate, 75 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2 (Thinking)'s sharpest advantage is in knowledge, where it averages 71.8 against 71.2. The single biggest benchmark swing on the page is GPQA, 85 to 71.2.
GPT-5 nano gives you the larger context window at 400K, compared with 128K for DeepSeek V3.2 (Thinking).
Pick DeepSeek V3.2 (Thinking) if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if you need the larger 400K context window.
DeepSeek V3.2 (Thinking)
71.8
GPT-5 nano
71.2
DeepSeek V3.2 (Thinking)
85.8
GPT-5 nano
85.2
DeepSeek V3.2 (Thinking) is ahead overall, 75 to 31. The biggest single separator in this matchup is GPQA, where the scores are 85 and 71.2.
DeepSeek V3.2 (Thinking) has the edge for knowledge tasks in this comparison, averaging 71.8 versus 71.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for math in this comparison, averaging 85.8 versus 85.2. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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