Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron 3 Ultra 500B is clearly ahead on the aggregate, 64 to 58. 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 agentic, where it averages 62.8 against 51.7. The single biggest benchmark swing on the page is MRCRv2, 85 to 65. Aion-2.0 does hit back in instruction following, 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 Aion-2.0 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 128K for Aion-2.0.
Pick Nemotron 3 Ultra 500B if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Nemotron 3 Ultra 500B
62.8
Aion-2.0
51.7
Nemotron 3 Ultra 500B
43.8
Aion-2.0
33.2
Nemotron 3 Ultra 500B
66.9
Aion-2.0
66
Nemotron 3 Ultra 500B
77.2
Aion-2.0
70.3
Nemotron 3 Ultra 500B
57
Aion-2.0
54
Nemotron 3 Ultra 500B
84
Aion-2.0
93
Nemotron 3 Ultra 500B
79.7
Aion-2.0
78.1
Nemotron 3 Ultra 500B
78
Aion-2.0
72.1
Nemotron 3 Ultra 500B is ahead overall, 64 to 58. The biggest single separator in this matchup is MRCRv2, where the scores are 85 and 65.
Nemotron 3 Ultra 500B has the edge for knowledge tasks in this comparison, averaging 57 versus 54. Inside this category, HLE is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for coding in this comparison, averaging 43.8 versus 33.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for math in this comparison, averaging 78 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for reasoning in this comparison, averaging 77.2 versus 70.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for agentic tasks in this comparison, averaging 62.8 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for multimodal and grounded tasks in this comparison, averaging 66.9 versus 66. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for instruction following in this comparison, averaging 93 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for multilingual tasks in this comparison, averaging 79.7 versus 78.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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