Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o1 is clearly ahead on the aggregate, 51 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1's sharpest advantage is in knowledge, where it averages 83.8 against 37.3. The single biggest benchmark swing on the page is MMLU, 91.8 to 45.
o1 is the reasoning model in the pair, while Gemma 3 27B 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. o1 gives you the larger context window at 200K, compared with 32K for Gemma 3 27B.
Pick o1 if you want the stronger benchmark profile. Gemma 3 27B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
o1
83.8
Gemma 3 27B
37.3
o1
41
Gemma 3 27B
22.7
o1
74.3
Gemma 3 27B
45.5
o1
92.2
Gemma 3 27B
67
o1 is ahead overall, 51 to 42. The biggest single separator in this matchup is MMLU, where the scores are 91.8 and 45.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 37.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1 has the edge for coding in this comparison, averaging 41 versus 22.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o1 has the edge for math in this comparison, averaging 74.3 versus 45.5. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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