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 71. 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 55.6. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 49.3.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 34.1x on output cost alone. GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for o3-mini.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. o3-mini only becomes the better choice if you want the cheaper token bill.
GPT-5.2 Pro
85.9
o3-mini
66.6
GPT-5.2 Pro
84.8
o3-mini
55.6
GPT-5.2 Pro
96
o3-mini
74.4
GPT-5.2 Pro
95.2
o3-mini
81.1
GPT-5.2 Pro
81.5
o3-mini
70.8
GPT-5.2 Pro
95
o3-mini
93.9
GPT-5.2 Pro
93.4
o3-mini
73
GPT-5.2 Pro
98.2
o3-mini
87.3
GPT-5.2 Pro is ahead overall, 90 to 71. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 49.3.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 70.8. 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 55.6. 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 87.3. 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 81.1. 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 66.6. 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 74.4. 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 93.9. 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 73. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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