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 41. 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 multimodal & grounded, where it averages 79.6 against 41.5. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 37.
DeepSeek V3.1 (Reasoning) is the reasoning model in the pair, while Seed-2.0-Lite is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for DeepSeek V3.1 (Reasoning).
Pick Seed-2.0-Lite if you want the stronger benchmark profile. DeepSeek V3.1 (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Seed-2.0-Lite
55.1
DeepSeek V3.1 (Reasoning)
44.2
Seed-2.0-Lite
41.4
DeepSeek V3.1 (Reasoning)
19.9
Seed-2.0-Lite
79.6
DeepSeek V3.1 (Reasoning)
41.5
Seed-2.0-Lite
73
DeepSeek V3.1 (Reasoning)
45.8
Seed-2.0-Lite
53.9
DeepSeek V3.1 (Reasoning)
32.8
Seed-2.0-Lite
89
DeepSeek V3.1 (Reasoning)
70
Seed-2.0-Lite
82.5
DeepSeek V3.1 (Reasoning)
62.1
Seed-2.0-Lite
75
DeepSeek V3.1 (Reasoning)
46.1
Seed-2.0-Lite is ahead overall, 63 to 41. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 37.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 32.8. 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 19.9. Inside this category, HumanEval 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 46.1. 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 45.8. 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 44.2. 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 41.5. Inside this category, MMMU-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 70. 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 62.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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