Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite finishes one point ahead overall, 63 to 62. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Seed-2.0-Lite's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 61.4. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 56. Qwen3.5 397B does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
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 Qwen3.5 397B. That is roughly Infinityx on output cost alone. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for Qwen3.5 397B.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Seed-2.0-Lite
55.1
Qwen3.5 397B
56.9
Seed-2.0-Lite
41.4
Qwen3.5 397B
40.7
Seed-2.0-Lite
79.6
Qwen3.5 397B
61.4
Seed-2.0-Lite
73
Qwen3.5 397B
75.9
Seed-2.0-Lite
53.9
Qwen3.5 397B
59.3
Seed-2.0-Lite
89
Qwen3.5 397B
82
Seed-2.0-Lite
82.5
Qwen3.5 397B
78.8
Seed-2.0-Lite
75
Qwen3.5 397B
81.6
Seed-2.0-Lite is ahead overall, 63 to 62. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 56.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 53.9. 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 40.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for math in this comparison, averaging 81.6 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for reasoning in this comparison, averaging 75.9 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.9 versus 55.1. 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 61.4. 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 82. 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 78.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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