Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite is clearly ahead on the aggregate, 63 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Lite's sharpest advantage is in coding, where it averages 41.4 against 12.9. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 12.
Seed-2.0-Lite is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Scout. That is roughly Infinityx on output cost alone. Llama 4 Scout gives you the larger context window at 10M, compared with 256K for Seed-2.0-Lite.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Llama 4 Scout only becomes the better choice if you want the cheaper token bill or you need the larger 10M context window.
Seed-2.0-Lite
55.1
Llama 4 Scout
40.6
Seed-2.0-Lite
41.4
Llama 4 Scout
12.9
Seed-2.0-Lite
79.6
Llama 4 Scout
57.8
Seed-2.0-Lite
73
Llama 4 Scout
55
Seed-2.0-Lite
53.9
Llama 4 Scout
35.6
Seed-2.0-Lite
89
Llama 4 Scout
68
Seed-2.0-Lite
82.5
Llama 4 Scout
59.8
Seed-2.0-Lite
75
Llama 4 Scout
51
Seed-2.0-Lite is ahead overall, 63 to 42. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 12.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for coding in this comparison, averaging 41.4 versus 12.9. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 51. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for reasoning in this comparison, averaging 73 versus 55. Inside this category, BBH is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for agentic tasks in this comparison, averaging 55.1 versus 40.6. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 57.8. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 59.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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