Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron-4 15B 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.
GPT-4o mini gives you the larger context window at 128K, compared with 32K for Nemotron-4 15B.
Pick Nemotron-4 15B if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority or you need the larger 128K context window.
Nemotron-4 15B
45.8
GPT-4o mini
82
Nemotron-4 15B
33
GPT-4o mini
87.2
Nemotron-4 15B
75
GPT-4o mini
87
Nemotron-4 15B is ahead overall, 52 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 46 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 45.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 75. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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