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 76. 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 multimodal & grounded, where it averages 93.1 against 74.3. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 72.
Pick GPT-5.2 Instant 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 Instant
79.6
Kimi K2.5 (Reasoning)
73.1
GPT-5.2 Instant
75.5
Kimi K2.5 (Reasoning)
64.1
GPT-5.2 Instant
93.1
Kimi K2.5 (Reasoning)
74.3
GPT-5.2 Instant
90.9
Kimi K2.5 (Reasoning)
84.9
GPT-5.2 Instant
79.8
Kimi K2.5 (Reasoning)
69.7
GPT-5.2 Instant
95
Kimi K2.5 (Reasoning)
91
GPT-5.2 Instant
94.4
Kimi K2.5 (Reasoning)
86.7
GPT-5.2 Instant
97.2
Kimi K2.5 (Reasoning)
92.6
GPT-5.2 Instant is ahead overall, 85 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 72.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 69.7. 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 64.1. Inside this category, LiveCodeBench 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 92.6. Inside this category, MATH-500 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 84.9. 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 73.1. 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 74.3. 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 91. 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 86.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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