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 47. 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 55.3. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 5.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for GPT-4 Turbo.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. GPT-4 Turbo only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
GPT-4 Turbo
44.7
Seed-2.0-Lite
41.4
GPT-4 Turbo
17.2
Seed-2.0-Lite
79.6
GPT-4 Turbo
55.3
Seed-2.0-Lite
73
GPT-4 Turbo
61
Seed-2.0-Lite
53.9
GPT-4 Turbo
41.1
Seed-2.0-Lite
89
GPT-4 Turbo
80
Seed-2.0-Lite
82.5
GPT-4 Turbo
68.5
Seed-2.0-Lite
75
GPT-4 Turbo
64.4
Seed-2.0-Lite is ahead overall, 63 to 47. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 5.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 41.1. Inside this category, MMLU-Pro 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 17.2. 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 64.4. 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 61. 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 44.7. Inside this category, OSWorld-Verified 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 55.3. 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 80. 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 68.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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