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 76. 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 multimodal & grounded, where it averages 96 against 74.3. The single biggest benchmark swing on the page is MMMU-Pro, 96 to 72.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 128K for Kimi K2.5 (Reasoning).
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
Kimi K2.5 (Reasoning)
73.1
GPT-5.2 Pro
84.8
Kimi K2.5 (Reasoning)
64.1
GPT-5.2 Pro
96
Kimi K2.5 (Reasoning)
74.3
GPT-5.2 Pro
95.2
Kimi K2.5 (Reasoning)
84.9
GPT-5.2 Pro
81.5
Kimi K2.5 (Reasoning)
69.7
GPT-5.2 Pro
95
Kimi K2.5 (Reasoning)
91
GPT-5.2 Pro
93.4
Kimi K2.5 (Reasoning)
86.7
GPT-5.2 Pro
98.2
Kimi K2.5 (Reasoning)
92.6
GPT-5.2 Pro is ahead overall, 90 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 96 and 72.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 69.7. 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 64.1. 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 92.6. Inside this category, MATH-500 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 84.9. 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 73.1. Inside this category, OSWorld-Verified 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 74.3. 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 91. 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 86.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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