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 40. 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 14.1. The single biggest benchmark swing on the page is MRCRv2, 77 to 46.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 32K for Llama 4 Behemoth.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Llama 4 Behemoth only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
Llama 4 Behemoth
34.6
Seed-2.0-Lite
41.4
Llama 4 Behemoth
14.1
Seed-2.0-Lite
79.6
Llama 4 Behemoth
55.1
Seed-2.0-Lite
73
Llama 4 Behemoth
47.1
Seed-2.0-Lite
53.9
Llama 4 Behemoth
36.7
Seed-2.0-Lite
89
Llama 4 Behemoth
68
Seed-2.0-Lite
82.5
Llama 4 Behemoth
62.8
Seed-2.0-Lite
75
Llama 4 Behemoth
52.9
Seed-2.0-Lite is ahead overall, 63 to 40. The biggest single separator in this matchup is MRCRv2, where the scores are 77 and 46.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 36.7. 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 14.1. 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 52.9. 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 47.1. Inside this category, MRCRv2 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 34.6. Inside this category, BrowseComp 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 55.1. 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 62.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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