Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3.1 405B is clearly ahead on the aggregate, 59 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3.1 405B's sharpest advantage is in coding, where it averages 40.6 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 46 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 gives you the larger context window at 256K, compared with 128K for Llama 3.1 405B.
Pick Llama 3.1 405B 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.
Llama 3.1 405B
53.9
Seed-2.0-Mini
46.2
Llama 3.1 405B
40.6
Seed-2.0-Mini
24.7
Llama 3.1 405B
62.3
Seed-2.0-Mini
73.1
Llama 3.1 405B
68.3
Seed-2.0-Mini
64.8
Llama 3.1 405B
53.2
Seed-2.0-Mini
44.6
Llama 3.1 405B
86
Seed-2.0-Mini
80
Llama 3.1 405B
80.1
Seed-2.0-Mini
71.8
Llama 3.1 405B
74.9
Seed-2.0-Mini
65.1
Llama 3.1 405B is ahead overall, 59 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 46 and 22.
Llama 3.1 405B has the edge for knowledge tasks in this comparison, averaging 53.2 versus 44.6. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for coding in this comparison, averaging 40.6 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for math in this comparison, averaging 74.9 versus 65.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for reasoning in this comparison, averaging 68.3 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for agentic tasks in this comparison, averaging 53.9 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 62.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for instruction following in this comparison, averaging 86 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multilingual tasks in this comparison, averaging 80.1 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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