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 66. 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 47.3. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 45.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 128K for DeepSeekMath V2.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. DeepSeekMath V2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
DeepSeekMath V2
63.9
GPT-5.2 Pro
84.8
DeepSeekMath V2
47.3
GPT-5.2 Pro
96
DeepSeekMath V2
68.1
GPT-5.2 Pro
95.2
DeepSeekMath V2
75.9
GPT-5.2 Pro
81.5
DeepSeekMath V2
61
GPT-5.2 Pro
95
DeepSeekMath V2
83
GPT-5.2 Pro
93.4
DeepSeekMath V2
82.5
GPT-5.2 Pro
98.2
DeepSeekMath V2
84
GPT-5.2 Pro is ahead overall, 90 to 66. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 45.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 61. 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 47.3. 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 84. 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 75.9. 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 63.9. 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 68.1. 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 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 82.5. 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.