Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-pro is clearly ahead on the aggregate, 71 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-pro's sharpest advantage is in agentic, where it averages 70.4 against 51.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 69 to 48. 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.
o3-pro 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. o3-pro gives you the larger context window at 200K, compared with 128K for Aion-2.0.
Pick o3-pro 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.
o3-pro
70.4
Aion-2.0
51.7
o3-pro
49.2
Aion-2.0
33.2
o3-pro
74.1
Aion-2.0
66
o3-pro
83.6
Aion-2.0
70.3
o3-pro
67.1
Aion-2.0
54
o3-pro
82
Aion-2.0
93
o3-pro
81.1
Aion-2.0
78.1
o3-pro
89
Aion-2.0
72.1
o3-pro is ahead overall, 71 to 58. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 69 and 48.
o3-pro has the edge for knowledge tasks in this comparison, averaging 67.1 versus 54. Inside this category, HLE is the benchmark that creates the most daylight between them.
o3-pro has the edge for coding in this comparison, averaging 49.2 versus 33.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-pro has the edge for math in this comparison, averaging 89 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
o3-pro has the edge for reasoning in this comparison, averaging 83.6 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-pro has the edge for agentic tasks in this comparison, averaging 70.4 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-pro has the edge for multimodal and grounded tasks in this comparison, averaging 74.1 versus 66. 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 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-pro has the edge for multilingual tasks in this comparison, averaging 81.1 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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