Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Sibling matchup inside the Ministral 3 14B family.
Ministral 3 14B (Reasoning) and Ministral 3 14B sit in the same Ministral 3 14B family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Ministral 3 14B (Reasoning) is clearly ahead on the aggregate, 60 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B (Reasoning)'s sharpest advantage is in agentic, where it averages 58.5 against 48.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 60 to 48.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Ministral 3 14B 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.
Ministral 3 14B (Reasoning) makes more sense if agentic is the priority or you want the stronger reasoning-first profile, while Ministral 3 14B is the cleaner fit if you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
Ministral 3 14B
48.4
Ministral 3 14B (Reasoning)
35
Ministral 3 14B
33
Ministral 3 14B (Reasoning)
71.5
Ministral 3 14B
70.5
Ministral 3 14B (Reasoning)
69.2
Ministral 3 14B
63.6
Ministral 3 14B (Reasoning)
52.1
Ministral 3 14B
50.1
Ministral 3 14B (Reasoning)
81
Ministral 3 14B
80
Ministral 3 14B (Reasoning)
77.8
Ministral 3 14B
76.8
Ministral 3 14B (Reasoning)
75.2
Ministral 3 14B
69.7
Ministral 3 14B (Reasoning) and Ministral 3 14B are sibling variants in the Ministral 3 14B family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Ministral 3 14B (Reasoning) is ahead overall 60 to 55.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 50.1. Inside this category, MMLU 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. 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 69.7. Inside this category, MATH-500 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 63.6. 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 48.4. 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 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for instruction following in this comparison, averaging 81 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 77.8 versus 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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