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 35. 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 39.5. The single biggest benchmark swing on the page is AIME 2025, 72 to 34.
Pick Ministral 3 14B if you want the stronger benchmark profile. DeepSeek V3.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Ministral 3 14B
48.4
DeepSeek V3.1
32.9
Ministral 3 14B
33
DeepSeek V3.1
14.8
Ministral 3 14B
70.5
DeepSeek V3.1
39.5
Ministral 3 14B
63.6
DeepSeek V3.1
40.7
Ministral 3 14B
50.1
DeepSeek V3.1
30.5
Ministral 3 14B
80
DeepSeek V3.1
67
Ministral 3 14B
76.8
DeepSeek V3.1
60.8
Ministral 3 14B
69.7
DeepSeek V3.1
44.2
Ministral 3 14B is ahead overall, 55 to 35. The biggest single separator in this matchup is AIME 2025, where the scores are 72 and 34.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 30.5. 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 14.8. 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 44.2. 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 40.7. 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 32.9. 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 39.5. 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 67. 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 60.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.