Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) finishes one point ahead overall, 60 to 59. 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.
Ministral 3 14B (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 71.5 against 61. The single biggest benchmark swing on the page is MMMU-Pro, 71 to 56. Mistral Large 2 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Mistral Large 2 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. Mistral Large 2 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
Mistral Large 2
52.2
Ministral 3 14B (Reasoning)
35
Mistral Large 2
41.8
Ministral 3 14B (Reasoning)
71.5
Mistral Large 2
61
Ministral 3 14B (Reasoning)
69.2
Mistral Large 2
67.5
Ministral 3 14B (Reasoning)
52.1
Mistral Large 2
54.6
Ministral 3 14B (Reasoning)
81
Mistral Large 2
83
Ministral 3 14B (Reasoning)
77.8
Mistral Large 2
79.1
Ministral 3 14B (Reasoning)
75.2
Mistral Large 2
73.8
Ministral 3 14B (Reasoning) is ahead overall, 60 to 59. The biggest single separator in this matchup is MMMU-Pro, where the scores are 71 and 56.
Mistral Large 2 has the edge for knowledge tasks in this comparison, averaging 54.6 versus 52.1. Inside this category, MMLU-Pro 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 35. Inside this category, SWE-bench Verified 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 73.8. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for reasoning in this comparison, averaging 69.2 versus 67.5. Inside this category, MuSR 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 52.2. 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 61. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for instruction following in this comparison, averaging 83 versus 81. 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 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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