Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.5 finishes one point ahead overall, 59 to 58. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
MiniMax M2.5's sharpest advantage is in coding, where it averages 38.7 against 33.2. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 35. 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 $0.30 input / $1.20 output per 1M tokens for MiniMax M2.5.
Pick MiniMax M2.5 if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority.
MiniMax M2.5
53.4
Aion-2.0
51.7
MiniMax M2.5
38.7
Aion-2.0
33.2
MiniMax M2.5
62
Aion-2.0
66
MiniMax M2.5
69.6
Aion-2.0
70.3
MiniMax M2.5
55.3
Aion-2.0
54
MiniMax M2.5
85
Aion-2.0
93
MiniMax M2.5
82.1
Aion-2.0
78.1
MiniMax M2.5
76.1
Aion-2.0
72.1
MiniMax M2.5 is ahead overall, 59 to 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 35.
MiniMax M2.5 has the edge for knowledge tasks in this comparison, averaging 55.3 versus 54. Inside this category, OpenBookQA is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for coding in this comparison, averaging 38.7 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for math in this comparison, averaging 76.1 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for reasoning in this comparison, averaging 70.3 versus 69.6. Inside this category, BBH is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for agentic tasks in this comparison, averaging 53.4 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 62. 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 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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