Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron Ultra 253B is clearly ahead on the aggregate, 50 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron Ultra 253B is the reasoning model in the pair, while GPT-4o mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4o mini gives you the larger context window at 128K, compared with 32K for Nemotron Ultra 253B.
Pick Nemotron Ultra 253B 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 Ultra 253B
43.5
GPT-4o mini
82
Nemotron Ultra 253B
34
GPT-4o mini
87.2
Nemotron Ultra 253B
74
GPT-4o mini
87
Nemotron Ultra 253B is ahead overall, 50 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 41 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 43.5. 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 34. 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 74. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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