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 78. 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 knowledge, where it averages 79.8 against 69.8. The single biggest benchmark swing on the page is HLE, 43 to 27.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. GPT-5 (medium) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Instant
79.6
GPT-5 (medium)
75.5
GPT-5.2 Instant
75.5
GPT-5 (medium)
66.1
GPT-5.2 Instant
93.1
GPT-5 (medium)
88.1
GPT-5.2 Instant
90.9
GPT-5 (medium)
84.3
GPT-5.2 Instant
79.8
GPT-5 (medium)
69.8
GPT-5.2 Instant
95
GPT-5 (medium)
88
GPT-5.2 Instant
94.4
GPT-5 (medium)
88.1
GPT-5.2 Instant
97.2
GPT-5 (medium)
92
GPT-5.2 Instant is ahead overall, 85 to 78. The biggest single separator in this matchup is HLE, where the scores are 43 and 27.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 69.8. 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 66.1. 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. 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 84.3. 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 75.5. 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 88.1. 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 88. 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 88.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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