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 62.3. The single biggest benchmark swing on the page is MMMU-Pro, 71 to 60. Llama 3.1 405B 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 Llama 3.1 405B 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. Llama 3.1 405B 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
Llama 3.1 405B
53.9
Ministral 3 14B (Reasoning)
35
Llama 3.1 405B
40.6
Ministral 3 14B (Reasoning)
71.5
Llama 3.1 405B
62.3
Ministral 3 14B (Reasoning)
69.2
Llama 3.1 405B
68.3
Ministral 3 14B (Reasoning)
52.1
Llama 3.1 405B
53.2
Ministral 3 14B (Reasoning)
81
Llama 3.1 405B
86
Ministral 3 14B (Reasoning)
77.8
Llama 3.1 405B
80.1
Ministral 3 14B (Reasoning)
75.2
Llama 3.1 405B
74.9
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 60.
Llama 3.1 405B has the edge for knowledge tasks in this comparison, averaging 53.2 versus 52.1. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for coding in this comparison, averaging 40.6 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 74.9. 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 68.3. 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 53.9. 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 62.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for instruction following in this comparison, averaging 86 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multilingual tasks in this comparison, averaging 80.1 versus 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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