Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Pro's sharpest advantage is in coding, where it averages 84.8 against 19.9. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 14.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 128K for DeepSeek V3.1 (Reasoning).
Pick GPT-5.2 Pro if you want the stronger benchmark profile. DeepSeek V3.1 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
DeepSeek V3.1 (Reasoning)
44.2
GPT-5.2 Pro
84.8
DeepSeek V3.1 (Reasoning)
19.9
GPT-5.2 Pro
96
DeepSeek V3.1 (Reasoning)
41.5
GPT-5.2 Pro
95.2
DeepSeek V3.1 (Reasoning)
45.8
GPT-5.2 Pro
81.5
DeepSeek V3.1 (Reasoning)
32.8
GPT-5.2 Pro
95
DeepSeek V3.1 (Reasoning)
70
GPT-5.2 Pro
93.4
DeepSeek V3.1 (Reasoning)
62.1
GPT-5.2 Pro
98.2
DeepSeek V3.1 (Reasoning)
46.1
GPT-5.2 Pro is ahead overall, 90 to 41. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 14.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 32.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for coding in this comparison, averaging 84.8 versus 19.9. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for math in this comparison, averaging 98.2 versus 46.1. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 45.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for agentic tasks in this comparison, averaging 85.9 versus 44.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 41.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for instruction following in this comparison, averaging 95 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 62.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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