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 22. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 22.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. That is roughly 375.0x on output cost alone.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if you want the cheaper token bill.
GPT-5.2 Pro
85.9
GPT-5 nano
37.7
GPT-5.2 Pro
84.8
GPT-5 nano
22
GPT-5.2 Pro
96
GPT-5 nano
56.7
GPT-5.2 Pro
95.2
GPT-5 nano
58.8
GPT-5.2 Pro
81.5
GPT-5 nano
63.7
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
GPT-5 nano
48
GPT-5.2 Pro
98.2
GPT-5 nano
85.2
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 22.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 63.7. 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 22. 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 85.2. Inside this category, AIME 2025 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 58.8. 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 37.7. 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 56.7. Inside this category, OfficeQA 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 48. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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