Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron Ultra 253B is clearly ahead on the aggregate, 50 to 39. 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 Phi-4 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. Nemotron Ultra 253B gives you the larger context window at 32K, compared with 16K for Phi-4.
Pick Nemotron Ultra 253B if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Nemotron Ultra 253B
43.5
Phi-4
70.5
Nemotron Ultra 253B
34
Phi-4
82.6
Nemotron Ultra 253B
74
Phi-4
80.6
Nemotron Ultra 253B is ahead overall, 50 to 39. The biggest single separator in this matchup is HumanEval, where the scores are 41 and 82.6.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 43.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 82.6 versus 34. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Phi-4 has the edge for multilingual tasks in this comparison, averaging 80.6 versus 74. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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