Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek LLM 2.0 is clearly ahead on the aggregate, 62 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek LLM 2.0's sharpest advantage is in coding, where it averages 42.9 against 33.2. The single biggest benchmark swing on the page is MATH-500, 83 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.
Pick DeepSeek LLM 2.0 if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority.
DeepSeek LLM 2.0
57.9
Aion-2.0
51.7
DeepSeek LLM 2.0
42.9
Aion-2.0
33.2
DeepSeek LLM 2.0
64.5
Aion-2.0
66
DeepSeek LLM 2.0
73.6
Aion-2.0
70.3
DeepSeek LLM 2.0
57.5
Aion-2.0
54
DeepSeek LLM 2.0
85
Aion-2.0
93
DeepSeek LLM 2.0
78.8
Aion-2.0
78.1
DeepSeek LLM 2.0
80.8
Aion-2.0
72.1
DeepSeek LLM 2.0 is ahead overall, 62 to 58. The biggest single separator in this matchup is MATH-500, where the scores are 83 and 71.
DeepSeek LLM 2.0 has the edge for knowledge tasks in this comparison, averaging 57.5 versus 54. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for coding in this comparison, averaging 42.9 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for math in this comparison, averaging 80.8 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for reasoning in this comparison, averaging 73.6 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for agentic tasks in this comparison, averaging 57.9 versus 51.7. Inside this category, Terminal-Bench 2.0 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 64.5. 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 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for multilingual tasks in this comparison, averaging 78.8 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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