Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 Pro is clearly ahead on the aggregate, 94 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 89 against 30.3. The single biggest benchmark swing on the page is LiveCodeBench, 86 to 16.
GPT-5.4 Pro is the reasoning model in the pair, while Nemotron 3 Nano 30B 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-5.4 Pro gives you the larger context window at 1.05M, compared with 32K for Nemotron 3 Nano 30B.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Nemotron 3 Nano 30B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro
88.8
Nemotron 3 Nano 30B
47.5
GPT-5.4 Pro
89
Nemotron 3 Nano 30B
30.3
GPT-5.4 Pro
98
Nemotron 3 Nano 30B
58.1
GPT-5.4 Pro
96.7
Nemotron 3 Nano 30B
59.3
GPT-5.4 Pro
97
Nemotron 3 Nano 30B
78
GPT-5.4 Pro
97
Nemotron 3 Nano 30B
75
GPT-5.4 Pro is ahead overall, 94 to 52. The biggest single separator in this matchup is LiveCodeBench, where the scores are 86 and 16.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 47.5. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 89 versus 30.3. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98 versus 58.1. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.7 versus 59.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 97 versus 75. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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