Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) 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.
Ministral 3 14B (Reasoning)'s sharpest advantage is in agentic, where it averages 58.5 against 51.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 60 to 48. 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 $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B (Reasoning). That is roughly Infinityx on output cost alone. Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Aion-2.0 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Ministral 3 14B (Reasoning) if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
Aion-2.0
51.7
Ministral 3 14B (Reasoning)
35
Aion-2.0
33.2
Ministral 3 14B (Reasoning)
71.5
Aion-2.0
66
Ministral 3 14B (Reasoning)
69.2
Aion-2.0
70.3
Ministral 3 14B (Reasoning)
52.1
Aion-2.0
54
Ministral 3 14B (Reasoning)
81
Aion-2.0
93
Ministral 3 14B (Reasoning)
77.8
Aion-2.0
78.1
Ministral 3 14B (Reasoning)
75.2
Aion-2.0
72.1
Ministral 3 14B (Reasoning) is ahead overall, 60 to 58. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 60 and 48.
Aion-2.0 has the edge for knowledge tasks in this comparison, averaging 54 versus 52.1. Inside this category, OpenBookQA is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for coding in this comparison, averaging 35 versus 33.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 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 69.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 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 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for multilingual tasks in this comparison, averaging 78.1 versus 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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