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 71. 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 49.2. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 46.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for o3-pro.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. o3-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
o3-pro
70.4
GPT-5.2 Pro
84.8
o3-pro
49.2
GPT-5.2 Pro
96
o3-pro
74.1
GPT-5.2 Pro
95.2
o3-pro
83.6
GPT-5.2 Pro
81.5
o3-pro
67.1
GPT-5.2 Pro
95
o3-pro
82
GPT-5.2 Pro
93.4
o3-pro
81.1
GPT-5.2 Pro
98.2
o3-pro
89
GPT-5.2 Pro is ahead overall, 90 to 71. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 46.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 67.1. 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 49.2. 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 89. 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 83.6. Inside this category, MRCRv2 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 70.4. 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, 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 82. 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 81.1. Inside this category, MGSM 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.