Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B is clearly ahead on the aggregate, 55 to 41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B's sharpest advantage is in multimodal & grounded, where it averages 70.5 against 41.5. The single biggest benchmark swing on the page is AIME 2025, 72 to 35.
DeepSeek V3.1 (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.
Pick Ministral 3 14B if you want the stronger benchmark profile. DeepSeek V3.1 (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Ministral 3 14B
48.4
DeepSeek V3.1 (Reasoning)
44.2
Ministral 3 14B
33
DeepSeek V3.1 (Reasoning)
19.9
Ministral 3 14B
70.5
DeepSeek V3.1 (Reasoning)
41.5
Ministral 3 14B
63.6
DeepSeek V3.1 (Reasoning)
45.8
Ministral 3 14B
50.1
DeepSeek V3.1 (Reasoning)
32.8
Ministral 3 14B
80
DeepSeek V3.1 (Reasoning)
70
Ministral 3 14B
76.8
DeepSeek V3.1 (Reasoning)
62.1
Ministral 3 14B
69.7
DeepSeek V3.1 (Reasoning)
46.1
Ministral 3 14B is ahead overall, 55 to 41. The biggest single separator in this matchup is AIME 2025, where the scores are 72 and 35.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 32.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for coding in this comparison, averaging 33 versus 19.9. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for math in this comparison, averaging 69.7 versus 46.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for reasoning in this comparison, averaging 63.6 versus 45.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for agentic tasks in this comparison, averaging 48.4 versus 44.2. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 41.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for instruction following in this comparison, averaging 80 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 62.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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