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 56. 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 32.2. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 20.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. That is roughly 5.0x on output cost alone. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for GPT-4o.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. GPT-4o only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
GPT-4o
51.2
Seed-2.0-Lite
41.4
GPT-4o
32.2
Seed-2.0-Lite
79.6
GPT-4o
72.2
Seed-2.0-Lite
73
GPT-4o
64.6
Seed-2.0-Lite
53.9
GPT-4o
47.4
Seed-2.0-Lite
89
GPT-4o
82
Seed-2.0-Lite
82.5
GPT-4o
75.5
Seed-2.0-Lite
75
GPT-4o
71.8
Seed-2.0-Lite is ahead overall, 63 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 20.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 47.4. 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 32.2. 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 71.8. 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 64.6. Inside this category, LongBench v2 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 51.2. 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 72.2. 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 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 75.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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