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 43. 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 47.5. The single biggest benchmark swing on the page is MMMU-Pro, 70 to 43.
DeepSeek-R1 is also the more expensive model on tokens at $0.55 input / $2.19 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B. That is roughly Infinityx on output cost alone. DeepSeek-R1 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-R1 only becomes the better choice if you want the stronger reasoning-first profile.
Ministral 3 14B
48.4
DeepSeek-R1
44.5
Ministral 3 14B
33
DeepSeek-R1
21.5
Ministral 3 14B
70.5
DeepSeek-R1
47.5
Ministral 3 14B
63.6
DeepSeek-R1
50.9
Ministral 3 14B
50.1
DeepSeek-R1
37.9
Ministral 3 14B
80
DeepSeek-R1
69
Ministral 3 14B
76.8
DeepSeek-R1
60.4
Ministral 3 14B
69.7
DeepSeek-R1
52.5
Ministral 3 14B is ahead overall, 55 to 43. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70 and 43.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 37.9. 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 21.5. 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 52.5. 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 50.9. 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 44.5. Inside this category, Terminal-Bench 2.0 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 47.5. 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 69. 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 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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