Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.2 is clearly ahead on the aggregate, 91 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in coding, where it averages 83.3 against 41. The single biggest benchmark swing on the page is SWE-bench Verified, 80 to 41.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-5.2. That is roughly 7.5x on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 200K for o1.
Pick GPT-5.2 if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2
85.7
o1
83.8
GPT-5.2
83.3
o1
41
GPT-5.2
97.3
o1
74.3
GPT-5.2
94
o1
92.2
GPT-5.2 is ahead overall, 91 to 51. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80 and 41.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 85.7 versus 83.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for coding in this comparison, averaging 83.3 versus 41. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for math in this comparison, averaging 97.3 versus 74.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for instruction following in this comparison, averaging 94 versus 92.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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