Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-1M 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.
Qwen2.5-1M's sharpest advantage is in agentic, where it averages 64.7 against 51.7. The single biggest benchmark swing on the page is LongBench v2, 82 to 64. 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.
Qwen2.5-1M gives you the larger context window at 1M, compared with 128K for Aion-2.0.
Pick Qwen2.5-1M if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority.
Qwen2.5-1M
64.7
Aion-2.0
51.7
Qwen2.5-1M
44.8
Aion-2.0
33.2
Qwen2.5-1M
68.4
Aion-2.0
66
Qwen2.5-1M
80.9
Aion-2.0
70.3
Qwen2.5-1M
60.4
Aion-2.0
54
Qwen2.5-1M
84
Aion-2.0
93
Qwen2.5-1M
80.4
Aion-2.0
78.1
Qwen2.5-1M
83.6
Aion-2.0
72.1
Qwen2.5-1M is ahead overall, 66 to 58. The biggest single separator in this matchup is LongBench v2, where the scores are 82 and 64.
Qwen2.5-1M has the edge for knowledge tasks in this comparison, averaging 60.4 versus 54. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for coding in this comparison, averaging 44.8 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for math in this comparison, averaging 83.6 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for reasoning in this comparison, averaging 80.9 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for agentic tasks in this comparison, averaging 64.7 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for multimodal and grounded tasks in this comparison, averaging 68.4 versus 66. 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 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for multilingual tasks in this comparison, averaging 80.4 versus 78.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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