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 43. 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 15.7. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 13.
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 Maverick. That is roughly Infinityx on output cost alone. Llama 4 Maverick gives you the larger context window at 1M, compared with 256K for Seed-2.0-Lite.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Seed-2.0-Lite
55.1
Llama 4 Maverick
40.9
Seed-2.0-Lite
41.4
Llama 4 Maverick
15.7
Seed-2.0-Lite
79.6
Llama 4 Maverick
56.8
Seed-2.0-Lite
73
Llama 4 Maverick
54
Seed-2.0-Lite
53.9
Llama 4 Maverick
36.5
Seed-2.0-Lite
89
Llama 4 Maverick
68
Seed-2.0-Lite
82.5
Llama 4 Maverick
59.8
Seed-2.0-Lite
75
Llama 4 Maverick
51.3
Seed-2.0-Lite is ahead overall, 63 to 43. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 13.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 36.5. 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 15.7. 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 51.3. 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 54. Inside this category, SimpleQA 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 40.9. Inside this category, Terminal-Bench 2.0 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 56.8. 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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