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 45. 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 23. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 23.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $25.00 input / $150.00 output per 1M tokens for GPT-5.2 Pro. That is roughly 4.0x on output cost alone. GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for o1-pro.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
o1-pro
39.7
GPT-5.2 Pro
84.8
o1-pro
23
GPT-5.2 Pro
96
o1-pro
48.5
GPT-5.2 Pro
95.2
o1-pro
56.2
GPT-5.2 Pro
81.5
o1-pro
69.9
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.2 Pro
93.4
o1-pro
52
GPT-5.2 Pro
98.2
o1-pro
86
GPT-5.2 Pro is ahead overall, 90 to 45. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 89 and 23.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 69.9. 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 23. Inside this category, SWE-bench Pro 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 86. 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 56.2. Inside this category, LongBench v2 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 39.7. Inside this category, OSWorld-Verified 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 48.5. Inside this category, MMMU-Pro 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 52. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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