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 81. 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 60.3. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 63.
Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 400K for GPT-5.2 Pro.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Gemini 3 Pro Deep Think only becomes the better choice if you need the larger 2M context window.
GPT-5.2 Pro
85.9
Gemini 3 Pro Deep Think
78.1
GPT-5.2 Pro
84.8
Gemini 3 Pro Deep Think
60.3
GPT-5.2 Pro
96
Gemini 3 Pro Deep Think
95
GPT-5.2 Pro
95.2
Gemini 3 Pro Deep Think
94.5
GPT-5.2 Pro
81.5
Gemini 3 Pro Deep Think
74.7
GPT-5.2 Pro
95
Gemini 3 Pro Deep Think
89
GPT-5.2 Pro
93.4
Gemini 3 Pro Deep Think
87.4
GPT-5.2 Pro
98.2
Gemini 3 Pro Deep Think
94.5
GPT-5.2 Pro is ahead overall, 90 to 81. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 89 and 63.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 74.7. 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 60.3. 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 94.5. Inside this category, MATH-500 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 94.5. Inside this category, BBH 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 78.1. 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 95. 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 89. 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 87.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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