Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron 3 Nano 30B is clearly ahead on the aggregate, 52 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron 3 Nano 30B's sharpest advantage is in mathematics, where it averages 58.1 against 26.4. The single biggest benchmark swing on the page is MMLU, 57 to 90.2. GPT-4.1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 gives you the larger context window at 1M, compared with 32K for Nemotron 3 Nano 30B.
Pick Nemotron 3 Nano 30B if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Nemotron 3 Nano 30B
47.5
GPT-4.1
78.3
Nemotron 3 Nano 30B
30.3
GPT-4.1
54.6
Nemotron 3 Nano 30B
58.1
GPT-4.1
26.4
Nemotron 3 Nano 30B
78
GPT-4.1
87.4
Nemotron 3 Nano 30B is ahead overall, 52 to 43. The biggest single separator in this matchup is MMLU, where the scores are 57 and 90.2.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 47.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 30.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Nemotron 3 Nano 30B has the edge for math in this comparison, averaging 58.1 versus 26.4. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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