Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 3 has the cleaner overall profile here, landing at 61 versus 58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Mistral Large 3's sharpest advantage is in multimodal & grounded, where it averages 75.5 against 66. The single biggest benchmark swing on the page is MMMU-Pro, 75 to 61. 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.
Mistral Large 3 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.80 input / $1.60 output per 1M tokens for Aion-2.0. That is roughly 3.8x on output cost alone.
Pick Mistral Large 3 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.
Mistral Large 3
52.5
Aion-2.0
51.7
Mistral Large 3
41
Aion-2.0
33.2
Mistral Large 3
75.5
Aion-2.0
66
Mistral Large 3
70.6
Aion-2.0
70.3
Mistral Large 3
57.1
Aion-2.0
54
Mistral Large 3
83
Aion-2.0
93
Mistral Large 3
78.8
Aion-2.0
78.1
Mistral Large 3
77.3
Aion-2.0
72.1
Mistral Large 3 is ahead overall, 61 to 58. The biggest single separator in this matchup is MMMU-Pro, where the scores are 75 and 61.
Mistral Large 3 has the edge for knowledge tasks in this comparison, averaging 57.1 versus 54. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for coding in this comparison, averaging 41 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for math in this comparison, averaging 77.3 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for reasoning in this comparison, averaging 70.6 versus 70.3. Inside this category, BBH is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for agentic tasks in this comparison, averaging 52.5 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for multimodal and grounded tasks in this comparison, averaging 75.5 versus 66. 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 3 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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