Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 2 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.
Mistral Large 2's sharpest advantage is in coding, where it averages 41.8 against 33.2. The single biggest benchmark swing on the page is SWE-bench Verified, 49 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.
Pick Mistral Large 2 if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority.
Mistral Large 2
52.2
Aion-2.0
51.7
Mistral Large 2
41.8
Aion-2.0
33.2
Mistral Large 2
61
Aion-2.0
66
Mistral Large 2
67.5
Aion-2.0
70.3
Mistral Large 2
54.6
Aion-2.0
54
Mistral Large 2
83
Aion-2.0
93
Mistral Large 2
79.1
Aion-2.0
78.1
Mistral Large 2
73.8
Aion-2.0
72.1
Mistral Large 2 is ahead overall, 59 to 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49 and 35.
Mistral Large 2 has the edge for knowledge tasks in this comparison, averaging 54.6 versus 54. Inside this category, OpenBookQA is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for coding in this comparison, averaging 41.8 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for math in this comparison, averaging 73.8 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 67.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for agentic tasks in this comparison, averaging 52.2 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. 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 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for multilingual tasks in this comparison, averaging 79.1 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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