Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron 3 Nano 30B finishes one point ahead overall, 52 to 51. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
o1 is the reasoning model in the pair, while Nemotron 3 Nano 30B 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 Nemotron 3 Nano 30B.
Pick Nemotron 3 Nano 30B if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Nemotron 3 Nano 30B
47.5
o1
83.8
Nemotron 3 Nano 30B
30.3
o1
41
Nemotron 3 Nano 30B
58.1
o1
74.3
Nemotron 3 Nano 30B
78
o1
92.2
Nemotron 3 Nano 30B is ahead overall, 52 to 51. The biggest single separator in this matchup is MMLU, where the scores are 57 and 91.8.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 47.5. 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 30.3. 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 58.1. 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 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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