Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3.5 397B 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.
Qwen3.5 397B's sharpest advantage is in mathematics, where it averages 81.6 against 72.1. The single biggest benchmark swing on the page is IFEval, 82 to 93. 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.
Aion-2.0 is also the more expensive model on tokens at $0.80 input / $1.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5 397B. That is roughly Infinityx on output cost alone.
Pick Qwen3.5 397B if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority.
Qwen3.5 397B
56.9
Aion-2.0
51.7
Qwen3.5 397B
40.7
Aion-2.0
33.2
Qwen3.5 397B
61.4
Aion-2.0
66
Qwen3.5 397B
75.9
Aion-2.0
70.3
Qwen3.5 397B
59.3
Aion-2.0
54
Qwen3.5 397B
82
Aion-2.0
93
Qwen3.5 397B
78.8
Aion-2.0
78.1
Qwen3.5 397B
81.6
Aion-2.0
72.1
Qwen3.5 397B is ahead overall, 62 to 58. The biggest single separator in this matchup is IFEval, where the scores are 82 and 93.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 54. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for coding in this comparison, averaging 40.7 versus 33.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for math in this comparison, averaging 81.6 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Qwen3.5 397B 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.
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.9 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 61.4. 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.
Qwen3.5 397B 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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