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 68. 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 48.4. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 41.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $15.00 input / $60.00 output per 1M tokens for o1. That is roughly 2.5x on output cost alone. GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for o1.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. o1 only becomes the better choice if you want the cheaper token bill.
GPT-5.2 Pro
85.9
o1
65.4
GPT-5.2 Pro
84.8
o1
48.4
GPT-5.2 Pro
96
o1
70.7
GPT-5.2 Pro
95.2
o1
78.1
GPT-5.2 Pro
81.5
o1
69.6
GPT-5.2 Pro
95
o1
92.2
GPT-5.2 Pro
93.4
o1
77
GPT-5.2 Pro
98.2
o1
74.3
GPT-5.2 Pro is ahead overall, 90 to 68. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 41.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 69.6. Inside this category, FrontierScience 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 48.4. 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 74.3. Inside this category, AIME 2024 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 78.1. 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 65.4. 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 70.7. 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 92.2. 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 77. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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