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.
GPT-4o mini gives you the larger context window at 128K, compared with 32K for Nemotron 3 Nano 30B.
Pick Nemotron 3 Nano 30B 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 3 Nano 30B
47.5
GPT-4o mini
82
Nemotron 3 Nano 30B
30.3
GPT-4o mini
87.2
Nemotron 3 Nano 30B
75
GPT-4o mini
87
Nemotron 3 Nano 30B is ahead overall, 52 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 49 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 47.5. 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 30.3. 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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