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 77. 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 multimodal & grounded, where it averages 96 against 75.6. The single biggest benchmark swing on the page is MMMU-Pro, 96 to 72.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for o1-preview.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. o1-preview only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
o1-preview
75.4
GPT-5.2 Pro
84.8
o1-preview
64.6
GPT-5.2 Pro
96
o1-preview
75.6
GPT-5.2 Pro
95.2
o1-preview
86.8
GPT-5.2 Pro
81.5
o1-preview
71.3
GPT-5.2 Pro
95
o1-preview
88
GPT-5.2 Pro
93.4
o1-preview
87.4
GPT-5.2 Pro
98.2
o1-preview
93.5
GPT-5.2 Pro is ahead overall, 90 to 77. The biggest single separator in this matchup is MMMU-Pro, where the scores are 96 and 72.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 71.3. Inside this category, HLE 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 64.6. Inside this category, LiveCodeBench 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 93.5. 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 86.8. Inside this category, MRCRv2 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 75.4. 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 75.6. 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 88. 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 87.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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