Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 52.3. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 50.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for Llama 3 70B.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Llama 3 70B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Mini
46.2
Llama 3 70B
41.2
Seed-2.0-Mini
24.7
Llama 3 70B
15.8
Seed-2.0-Mini
73.1
Llama 3 70B
52.3
Seed-2.0-Mini
64.8
Llama 3 70B
59.6
Seed-2.0-Mini
44.6
Llama 3 70B
42.2
Seed-2.0-Mini
80
Llama 3 70B
77
Seed-2.0-Mini
71.8
Llama 3 70B
67.5
Seed-2.0-Mini
65.1
Llama 3 70B
63.3
Seed-2.0-Mini is ahead overall, 53 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 50.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 42.2. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 15.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 versus 63.3. Inside this category, AIME 2023 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 59.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for agentic tasks in this comparison, averaging 46.2 versus 41.2. 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 52.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for instruction following in this comparison, averaging 80 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 67.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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