Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 is clearly ahead on the aggregate, 66 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2's sharpest advantage is in agentic, where it averages 63.9 against 48.4. The single biggest benchmark swing on the page is MATH-500, 90 to 72. Ministral 3 14B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
DeepSeekMath V2 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 DeepSeekMath V2 if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeekMath V2
63.9
Ministral 3 14B
48.4
DeepSeekMath V2
47.3
Ministral 3 14B
33
DeepSeekMath V2
68.1
Ministral 3 14B
70.5
DeepSeekMath V2
75.9
Ministral 3 14B
63.6
DeepSeekMath V2
61
Ministral 3 14B
50.1
DeepSeekMath V2
83
Ministral 3 14B
80
DeepSeekMath V2
82.5
Ministral 3 14B
76.8
DeepSeekMath V2
84
Ministral 3 14B
69.7
DeepSeekMath V2 is ahead overall, 66 to 55. The biggest single separator in this matchup is MATH-500, where the scores are 90 and 72.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 50.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 33. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 69.7. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 75.9 versus 63.6. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for agentic tasks in this comparison, averaging 63.9 versus 48.4. 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 68.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for instruction following in this comparison, averaging 83 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multilingual tasks in this comparison, averaging 82.5 versus 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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