Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Sibling matchup inside the o1 family.
o1-preview and o1-pro sit in the same o1 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
o1-preview is clearly ahead on the aggregate, 83 to 33. 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 86. The single biggest benchmark swing on the page is GPQA, 90 to 79. o1-pro does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
o1-preview makes more sense if mathematics is the priority, while o1-pro is the cleaner fit if knowledge is the priority.
o1-preview
78
o1-pro
79
o1-preview
93.1
o1-pro
86
o1-preview and o1-pro are sibling variants in the o1 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. o1-preview is ahead overall 83 to 33.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 78. 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 86. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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