Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Aion-2.0 is clearly ahead on the aggregate, 58 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Aion-2.0's sharpest advantage is in multimodal & grounded, where it averages 66 against 44.7. The single biggest benchmark swing on the page is OpenBookQA, 75 to 44. Nemotron Ultra 253B does hit back in coding, 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 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. Aion-2.0 gives you the larger context window at 128K, compared with 32K for Nemotron Ultra 253B.
Pick Aion-2.0 if you want the stronger benchmark profile. Nemotron Ultra 253B only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Aion-2.0
51.7
Nemotron Ultra 253B
46.7
Aion-2.0
33.2
Nemotron Ultra 253B
33.7
Aion-2.0
66
Nemotron Ultra 253B
44.7
Aion-2.0
70.3
Nemotron Ultra 253B
53.3
Aion-2.0
54
Nemotron Ultra 253B
42.4
Aion-2.0
93
Nemotron Ultra 253B
78
Aion-2.0
78.1
Nemotron Ultra 253B
70.1
Aion-2.0
72.1
Nemotron Ultra 253B
59.7
Aion-2.0 is ahead overall, 58 to 48. The biggest single separator in this matchup is OpenBookQA, where the scores are 75 and 44.
Aion-2.0 has the edge for knowledge tasks in this comparison, averaging 54 versus 42.4. Inside this category, OpenBookQA is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for coding in this comparison, averaging 33.7 versus 33.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for math in this comparison, averaging 72.1 versus 59.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for reasoning in this comparison, averaging 70.3 versus 53.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for agentic tasks in this comparison, averaging 51.7 versus 46.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for multimodal and grounded tasks in this comparison, averaging 66 versus 44.7. Inside this category, MMMU-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 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for multilingual tasks in this comparison, averaging 78.1 versus 70.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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