Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 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.
DeepSeek Coder 2.0's sharpest advantage is in coding, where it averages 52.8 against 33.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 73 to 48. Aion-2.0 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Aion-2.0 is also the more expensive model on tokens at $0.80 input / $1.60 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek Coder 2.0.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if multimodal & grounded is the priority.
DeepSeek Coder 2.0
67.5
Aion-2.0
51.7
DeepSeek Coder 2.0
52.8
Aion-2.0
33.2
DeepSeek Coder 2.0
58.6
Aion-2.0
66
DeepSeek Coder 2.0
75.5
Aion-2.0
70.3
DeepSeek Coder 2.0
59.6
Aion-2.0
54
DeepSeek Coder 2.0
86
Aion-2.0
93
DeepSeek Coder 2.0
79.8
Aion-2.0
78.1
DeepSeek Coder 2.0
80.5
Aion-2.0
72.1
DeepSeek Coder 2.0 is ahead overall, 66 to 58. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 73 and 48.
DeepSeek Coder 2.0 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 54. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for coding in this comparison, averaging 52.8 versus 33.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for math in this comparison, averaging 80.5 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for reasoning in this comparison, averaging 75.5 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 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 58.6. 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 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for multilingual tasks in this comparison, averaging 79.8 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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