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 37. 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 41.6. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 38.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for Qwen3 235B 2507.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
Qwen3 235B 2507
33.7
Seed-2.0-Lite
41.4
Qwen3 235B 2507
14.6
Seed-2.0-Lite
79.6
Qwen3 235B 2507
41.6
Seed-2.0-Lite
73
Qwen3 235B 2507
45.6
Seed-2.0-Lite
53.9
Qwen3 235B 2507
31.9
Seed-2.0-Lite
89
Qwen3 235B 2507
69
Seed-2.0-Lite
82.5
Qwen3 235B 2507
60.4
Seed-2.0-Lite
75
Qwen3 235B 2507
46.6
Seed-2.0-Lite is ahead overall, 63 to 37. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 38.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 31.9. 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 14.6. 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 46.6. 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 45.6. 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 33.7. 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 41.6. 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 69. 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 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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