Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek LLM 2.0 is clearly ahead on the aggregate, 62 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek LLM 2.0's sharpest advantage is in mathematics, where it averages 80.8 against 69.7. The single biggest benchmark swing on the page is HumanEval, 73 to 58. 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.
Pick DeepSeek LLM 2.0 if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority.
DeepSeek LLM 2.0
57.9
Ministral 3 14B
48.4
DeepSeek LLM 2.0
42.9
Ministral 3 14B
33
DeepSeek LLM 2.0
64.5
Ministral 3 14B
70.5
DeepSeek LLM 2.0
73.6
Ministral 3 14B
63.6
DeepSeek LLM 2.0
57.5
Ministral 3 14B
50.1
DeepSeek LLM 2.0
85
Ministral 3 14B
80
DeepSeek LLM 2.0
78.8
Ministral 3 14B
76.8
DeepSeek LLM 2.0
80.8
Ministral 3 14B
69.7
DeepSeek LLM 2.0 is ahead overall, 62 to 55. The biggest single separator in this matchup is HumanEval, where the scores are 73 and 58.
DeepSeek LLM 2.0 has the edge for knowledge tasks in this comparison, averaging 57.5 versus 50.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for coding in this comparison, averaging 42.9 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for math in this comparison, averaging 80.8 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for reasoning in this comparison, averaging 73.6 versus 63.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for agentic tasks in this comparison, averaging 57.9 versus 48.4. Inside this category, OSWorld-Verified 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 64.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for instruction following in this comparison, averaging 85 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for multilingual tasks in this comparison, averaging 78.8 versus 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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