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's sharpest advantage is in mathematics, where it averages 51.3 against 26.4. The single biggest benchmark swing on the page is MMLU, 49 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.
Nemotron Ultra 253B is the reasoning model in the pair, while GPT-4.1 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-4.1 gives you the larger context window at 1M, compared with 32K for Nemotron Ultra 253B.
Pick Nemotron Ultra 253B 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 Ultra 253B
43.5
GPT-4.1
78.3
Nemotron Ultra 253B
34
GPT-4.1
54.6
Nemotron Ultra 253B
51.3
GPT-4.1
26.4
Nemotron Ultra 253B
78
GPT-4.1
87.4
Nemotron Ultra 253B is ahead overall, 50 to 43. The biggest single separator in this matchup is MMLU, where the scores are 49 and 90.2.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 43.5. 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 34. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for math in this comparison, averaging 51.3 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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