Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) is clearly ahead on the aggregate, 60 to 34. 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 mathematics, where it averages 75.2 against 42.7. The single biggest benchmark swing on the page is MuSR, 70 to 28.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Kimi K2 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. Kimi K2 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
Kimi K2
29.3
Ministral 3 14B (Reasoning)
35
Kimi K2
12.8
Ministral 3 14B (Reasoning)
71.5
Kimi K2
39.5
Ministral 3 14B (Reasoning)
69.2
Kimi K2
40.9
Ministral 3 14B (Reasoning)
52.1
Kimi K2
29.3
Ministral 3 14B (Reasoning)
81
Kimi K2
67
Ministral 3 14B (Reasoning)
77.8
Kimi K2
59.7
Ministral 3 14B (Reasoning)
75.2
Kimi K2
42.7
Ministral 3 14B (Reasoning) is ahead overall, 60 to 34. The biggest single separator in this matchup is MuSR, where the scores are 70 and 28.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 29.3. 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 12.8. 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 42.7. 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 40.9. 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 29.3. 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 39.5. 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 67. 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 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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