Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron-4 15B is clearly ahead on the aggregate, 52 to 35. 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 23.1. The single biggest benchmark swing on the page is MMLU, 54 to 87.5. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini 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 mini 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 mini
75.9
Nemotron-4 15B
33
GPT-4.1 mini
23.6
Nemotron-4 15B
55.3
GPT-4.1 mini
23.1
Nemotron-4 15B
79
GPT-4.1 mini
88.5
Nemotron-4 15B is ahead overall, 52 to 35. The biggest single separator in this matchup is MMLU, where the scores are 54 and 87.5.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 45.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for coding in this comparison, averaging 33 versus 23.6. Inside this category, SWE-bench Verified 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 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 79. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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