Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron 3 Ultra 500B is clearly ahead on the aggregate, 67 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron 3 Ultra 500B's sharpest advantage is in multilingual, where it averages 81 against 80.6. The single biggest benchmark swing on the page is GPQA, 73 to 56.1. Phi-4 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Ultra 500B 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 3 Ultra 500B gives you the larger context window at 10M, compared with 16K for Phi-4.
Pick Nemotron 3 Ultra 500B 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 3 Ultra 500B
62.5
Phi-4
70.5
Nemotron 3 Ultra 500B
49.7
Phi-4
82.6
Nemotron 3 Ultra 500B
81
Phi-4
80.6
Nemotron 3 Ultra 500B is ahead overall, 67 to 39. The biggest single separator in this matchup is GPQA, where the scores are 73 and 56.1.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 62.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 82.6 versus 49.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for multilingual tasks in this comparison, averaging 81 versus 80.6. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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