Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o1-preview is clearly ahead on the aggregate, 83 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-preview's sharpest advantage is in mathematics, where it averages 93.1 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 96 to 9.8.
o1-preview is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 nano gives you the larger context window at 1M, compared with 200K for o1-preview.
Pick o1-preview if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
o1-preview
78
GPT-4.1 nano
65.2
o1-preview
93.1
GPT-4.1 nano
9.8
o1-preview
88
GPT-4.1 nano
83.2
o1-preview is ahead overall, 83 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 96 and 9.8.
o1-preview has the edge for knowledge tasks in this comparison, averaging 78 versus 65.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-preview has the edge for math in this comparison, averaging 93.1 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1-preview has the edge for instruction following in this comparison, averaging 88 versus 83.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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