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 64. 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 43.8. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 47.
Nemotron 3 Ultra 500B gives you the larger context window at 10M, compared with 400K for GPT-5.2 Pro.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Nemotron 3 Ultra 500B only becomes the better choice if you need the larger 10M context window.
GPT-5.2 Pro
85.9
Nemotron 3 Ultra 500B
62.8
GPT-5.2 Pro
84.8
Nemotron 3 Ultra 500B
43.8
GPT-5.2 Pro
96
Nemotron 3 Ultra 500B
66.9
GPT-5.2 Pro
95.2
Nemotron 3 Ultra 500B
77.2
GPT-5.2 Pro
81.5
Nemotron 3 Ultra 500B
57
GPT-5.2 Pro
95
Nemotron 3 Ultra 500B
84
GPT-5.2 Pro
93.4
Nemotron 3 Ultra 500B
79.7
GPT-5.2 Pro
98.2
Nemotron 3 Ultra 500B
78
GPT-5.2 Pro is ahead overall, 90 to 64. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 89 and 47.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 57. 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 43.8. 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 78. 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 77.2. Inside this category, SimpleQA 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 62.8. 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 66.9. 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 84. 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 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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