Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B has the cleaner overall profile here, landing at 55 versus 53. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Ministral 3 14B's sharpest advantage is in coding, where it averages 33 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 37 to 22. Seed-2.0-Mini does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Mini is also the more expensive model on tokens at $0.10 input / $0.40 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. Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for Ministral 3 14B.
Pick Ministral 3 14B if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
Ministral 3 14B
48.4
Seed-2.0-Mini
46.2
Ministral 3 14B
33
Seed-2.0-Mini
24.7
Ministral 3 14B
70.5
Seed-2.0-Mini
73.1
Ministral 3 14B
63.6
Seed-2.0-Mini
64.8
Ministral 3 14B
50.1
Seed-2.0-Mini
44.6
Ministral 3 14B
80
Seed-2.0-Mini
80
Ministral 3 14B
76.8
Seed-2.0-Mini
71.8
Ministral 3 14B
69.7
Seed-2.0-Mini
65.1
Ministral 3 14B is ahead overall, 55 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 37 and 22.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 44.6. 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 24.7. Inside this category, SWE-bench Verified 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 65.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for reasoning in this comparison, averaging 64.8 versus 63.6. Inside this category, MRCRv2 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 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B and Seed-2.0-Mini are effectively tied for instruction following here, both landing at 80 on average.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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