Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2.5 has the cleaner overall profile here, landing at 60 versus 58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K2.5's sharpest advantage is in mathematics, where it averages 78.7 against 72.1. The single biggest benchmark swing on the page is MATH-500, 82 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.
Kimi K2.5 is also the more expensive model on tokens at $0.50 input / $2.80 output per 1M tokens, versus $0.80 input / $1.60 output per 1M tokens for Aion-2.0.
Pick Kimi K2.5 if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority or you want the cheaper token bill.
Kimi K2.5
52.3
Aion-2.0
51.7
Kimi K2.5
38.9
Aion-2.0
33.2
Kimi K2.5
64.6
Aion-2.0
66
Kimi K2.5
71.7
Aion-2.0
70.3
Kimi K2.5
57.2
Aion-2.0
54
Kimi K2.5
85
Aion-2.0
93
Kimi K2.5
79.8
Aion-2.0
78.1
Kimi K2.5
78.7
Aion-2.0
72.1
Kimi K2.5 is ahead overall, 60 to 58. The biggest single separator in this matchup is MATH-500, where the scores are 82 and 71.
Kimi K2.5 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 54. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for coding in this comparison, averaging 38.9 versus 33.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for math in this comparison, averaging 78.7 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for reasoning in this comparison, averaging 71.7 versus 70.3. Inside this category, BBH is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for agentic tasks in this comparison, averaging 52.3 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 64.6. 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.
Kimi K2.5 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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