Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Instant is clearly ahead on the aggregate, 85 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Instant's sharpest advantage is in coding, where it averages 75.5 against 47.3. The single biggest benchmark swing on the page is SWE-bench Verified, 75 to 45.
Pick GPT-5.2 Instant 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 Instant
79.6
DeepSeekMath V2
63.9
GPT-5.2 Instant
75.5
DeepSeekMath V2
47.3
GPT-5.2 Instant
93.1
DeepSeekMath V2
68.1
GPT-5.2 Instant
90.9
DeepSeekMath V2
75.9
GPT-5.2 Instant
79.8
DeepSeekMath V2
61
GPT-5.2 Instant
95
DeepSeekMath V2
83
GPT-5.2 Instant
94.4
DeepSeekMath V2
82.5
GPT-5.2 Instant
97.2
DeepSeekMath V2
84
GPT-5.2 Instant is ahead overall, 85 to 66. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 75 and 45.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 61. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for coding in this comparison, averaging 75.5 versus 47.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for math in this comparison, averaging 97.2 versus 84. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for reasoning in this comparison, averaging 90.9 versus 75.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for agentic tasks in this comparison, averaging 79.6 versus 63.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 68.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant 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 Instant has the edge for multilingual tasks in this comparison, averaging 94.4 versus 82.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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