Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron-4 15B 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-4 15B 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-4 15B.
Pick Nemotron-4 15B 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-4 15B
45.8
o1
83.8
Nemotron-4 15B
33
o1
41
Nemotron-4 15B
55.3
o1
74.3
Nemotron-4 15B
79
o1
92.2
Nemotron-4 15B is ahead overall, 52 to 51. The biggest single separator in this matchup is MMLU, where the scores are 54 and 91.8.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 45.8. 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 33. 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 55.3. 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 79. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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