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 71. 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 multilingual, where it averages 94.4 against 73. The single biggest benchmark swing on the page is SWE-bench Verified, 75 to 49.3.
GPT-5.2 Instant is also the more expensive model on tokens at $1.50 input / $6.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. o3-mini gives you the larger context window at 200K, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. o3-mini only becomes the better choice if you want the cheaper token bill or you need the larger 200K context window.
GPT-5.2 Instant
79.6
o3-mini
66.6
GPT-5.2 Instant
75.5
o3-mini
55.6
GPT-5.2 Instant
93.1
o3-mini
74.4
GPT-5.2 Instant
90.9
o3-mini
81.1
GPT-5.2 Instant
79.8
o3-mini
70.8
GPT-5.2 Instant
95
o3-mini
93.9
GPT-5.2 Instant
94.4
o3-mini
73
GPT-5.2 Instant
97.2
o3-mini
87.3
GPT-5.2 Instant is ahead overall, 85 to 71. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 75 and 49.3.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 70.8. Inside this category, FrontierScience 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 55.6. 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 87.3. Inside this category, AIME 2024 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 81.1. Inside this category, LongBench v2 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 66.6. 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 74.4. 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 93.9. 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 73. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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