Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 is clearly ahead on the aggregate, 66 to 53. 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 coding, where it averages 47.3 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 45 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.
DeepSeekMath V2 is the reasoning model in the pair, while Seed-2.0-Mini 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. Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for DeepSeekMath V2.
Pick DeepSeekMath V2 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.
DeepSeekMath V2
63.9
Seed-2.0-Mini
46.2
DeepSeekMath V2
47.3
Seed-2.0-Mini
24.7
DeepSeekMath V2
68.1
Seed-2.0-Mini
73.1
DeepSeekMath V2
75.9
Seed-2.0-Mini
64.8
DeepSeekMath V2
61
Seed-2.0-Mini
44.6
DeepSeekMath V2
83
Seed-2.0-Mini
80
DeepSeekMath V2
82.5
Seed-2.0-Mini
71.8
DeepSeekMath V2
84
Seed-2.0-Mini
65.1
DeepSeekMath V2 is ahead overall, 66 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 22.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 44.6. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 65.1. 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 64.8. Inside this category, SimpleQA 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 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 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 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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