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 42.9. The single biggest benchmark swing on the page is LiveCodeBench, 81 to 36.
GPT-5.2 Pro is the reasoning model in the pair, while Claude 4 Sonnet 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. GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for Claude 4 Sonnet.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
Claude 4 Sonnet
57.9
GPT-5.2 Pro
84.8
Claude 4 Sonnet
42.9
GPT-5.2 Pro
96
Claude 4 Sonnet
79.7
GPT-5.2 Pro
95.2
Claude 4 Sonnet
71.8
GPT-5.2 Pro
81.5
Claude 4 Sonnet
56.8
GPT-5.2 Pro
95
Claude 4 Sonnet
83
GPT-5.2 Pro
93.4
Claude 4 Sonnet
82.1
GPT-5.2 Pro
98.2
Claude 4 Sonnet
76.1
GPT-5.2 Pro is ahead overall, 90 to 64. The biggest single separator in this matchup is LiveCodeBench, where the scores are 81 and 36.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 56.8. 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 42.9. Inside this category, LiveCodeBench 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 76.1. 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 71.8. 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 57.9. 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 79.7. 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 83. 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 82.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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