Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 is clearly ahead on the aggregate, 66 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2's sharpest advantage is in coding, where it averages 47.3 against 33.2. The single biggest benchmark swing on the page is MATH-500, 90 to 71. 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.
DeepSeekMath V2 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.
Pick DeepSeekMath V2 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.
DeepSeekMath V2
63.9
Aion-2.0
51.7
DeepSeekMath V2
47.3
Aion-2.0
33.2
DeepSeekMath V2
68.1
Aion-2.0
66
DeepSeekMath V2
75.9
Aion-2.0
70.3
DeepSeekMath V2
61
Aion-2.0
54
DeepSeekMath V2
83
Aion-2.0
93
DeepSeekMath V2
82.5
Aion-2.0
78.1
DeepSeekMath V2
84
Aion-2.0
72.1
DeepSeekMath V2 is ahead overall, 66 to 58. The biggest single separator in this matchup is MATH-500, where the scores are 90 and 71.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 54. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 33.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 75.9 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for agentic tasks in this comparison, averaging 63.9 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.1 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 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multilingual tasks in this comparison, averaging 82.5 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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