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 51. 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 19. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 10.
GPT-5.2 Pro is the reasoning model in the pair, while Claude 3 Opus 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 3 Opus.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Claude 3 Opus 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 3 Opus
48.1
GPT-5.2 Pro
84.8
Claude 3 Opus
19
GPT-5.2 Pro
96
Claude 3 Opus
70.3
GPT-5.2 Pro
95.2
Claude 3 Opus
61.6
GPT-5.2 Pro
81.5
Claude 3 Opus
45
GPT-5.2 Pro
95
Claude 3 Opus
77
GPT-5.2 Pro
93.4
Claude 3 Opus
69.8
GPT-5.2 Pro
98.2
Claude 3 Opus
65.9
GPT-5.2 Pro is ahead overall, 90 to 51. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 10.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 45. 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 19. 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 65.9. 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 61.6. 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 48.1. 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 70.3. 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 69.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.