Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 66 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek Coder 2.0's sharpest advantage is in reasoning, where it averages 75.5 against 36.1. The single biggest benchmark swing on the page is HumanEval, 82 to 23.
DeepSeek Coder 2.0 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 8B. That is roughly Infinityx on output cost alone.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if you want the cheaper token bill.
DeepSeek Coder 2.0
67.5
Ministral 3 8B
28.9
DeepSeek Coder 2.0
52.8
Ministral 3 8B
14.2
DeepSeek Coder 2.0
58.6
Ministral 3 8B
32.4
DeepSeek Coder 2.0
75.5
Ministral 3 8B
36.1
DeepSeek Coder 2.0
59.6
Ministral 3 8B
28
DeepSeek Coder 2.0
86
Ministral 3 8B
69
DeepSeek Coder 2.0
79.8
Ministral 3 8B
61.7
DeepSeek Coder 2.0
80.5
Ministral 3 8B
43.3
DeepSeek Coder 2.0 is ahead overall, 66 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 82 and 23.
DeepSeek Coder 2.0 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for coding in this comparison, averaging 52.8 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for math in this comparison, averaging 80.5 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for reasoning in this comparison, averaging 75.5 versus 36.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 versus 28.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for multimodal and grounded tasks in this comparison, averaging 58.6 versus 32.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for instruction following in this comparison, averaging 86 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for multilingual tasks in this comparison, averaging 79.8 versus 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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