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 45. 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 45.2. The single biggest benchmark swing on the page is MMMU-Pro, 61 to 38.
Aion-2.0 gives you the larger context window at 128K, compared with 32K for Nemotron 3 Nano 30B.
Pick Aion-2.0 if you want the stronger benchmark profile. Nemotron 3 Nano 30B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Aion-2.0
51.7
Nemotron 3 Nano 30B
39.6
Aion-2.0
33.2
Nemotron 3 Nano 30B
22
Aion-2.0
66
Nemotron 3 Nano 30B
45.2
Aion-2.0
70.3
Nemotron 3 Nano 30B
54
Aion-2.0
54
Nemotron 3 Nano 30B
43.8
Aion-2.0
93
Nemotron 3 Nano 30B
78
Aion-2.0
78.1
Nemotron 3 Nano 30B
71.8
Aion-2.0
72.1
Nemotron 3 Nano 30B
63.7
Aion-2.0 is ahead overall, 58 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 61 and 38.
Aion-2.0 has the edge for knowledge tasks in this comparison, averaging 54 versus 43.8. Inside this category, OpenBookQA is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for coding in this comparison, averaging 33.2 versus 22. 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 63.7. 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 54. 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 39.6. 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 45.2. 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 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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