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 52. 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 18.5. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 5.
GPT-5.2 Pro is the reasoning model in the pair, while Gemini 1.5 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 1.5 Pro 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 1.5 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
Gemini 1.5 Pro
49.8
GPT-5.2 Pro
84.8
Gemini 1.5 Pro
18.5
GPT-5.2 Pro
96
Gemini 1.5 Pro
74.1
GPT-5.2 Pro
95.2
Gemini 1.5 Pro
66.9
GPT-5.2 Pro
81.5
Gemini 1.5 Pro
44.2
GPT-5.2 Pro
95
Gemini 1.5 Pro
77
GPT-5.2 Pro
93.4
Gemini 1.5 Pro
69.5
GPT-5.2 Pro
98.2
Gemini 1.5 Pro
67.5
GPT-5.2 Pro is ahead overall, 90 to 52. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 5.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 44.2. 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 18.5. 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 67.5. 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 66.9. 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 49.8. 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 74.1. Inside this category, OfficeQA 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 77. 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 69.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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