Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron-4 15B is clearly ahead on the aggregate, 52 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron-4 15B's sharpest advantage is in mathematics, where it averages 55.3 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 56 to 9.8. GPT-4.1 nano does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 nano gives you the larger context window at 1M, compared with 32K for Nemotron-4 15B.
Pick Nemotron-4 15B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Nemotron-4 15B
45.8
GPT-4.1 nano
65.2
Nemotron-4 15B
55.3
GPT-4.1 nano
9.8
Nemotron-4 15B
79
GPT-4.1 nano
83.2
Nemotron-4 15B is ahead overall, 52 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 56 and 9.8.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 65.2 versus 45.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for math in this comparison, averaging 55.3 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 79. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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