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 49. 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 21.7. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 23.
Seed-2.0-Lite is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Gemini 2.5 Flash. That is roughly 3.3x on output cost alone. Gemini 2.5 Flash gives you the larger context window at 1M, compared with 256K for Seed-2.0-Lite.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Gemini 2.5 Flash only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Seed-2.0-Lite
55.1
Gemini 2.5 Flash
46.5
Seed-2.0-Lite
41.4
Gemini 2.5 Flash
21.7
Seed-2.0-Lite
79.6
Gemini 2.5 Flash
67.7
Seed-2.0-Lite
73
Gemini 2.5 Flash
59.2
Seed-2.0-Lite
53.9
Gemini 2.5 Flash
40.5
Seed-2.0-Lite
89
Gemini 2.5 Flash
79
Seed-2.0-Lite
82.5
Gemini 2.5 Flash
70.8
Seed-2.0-Lite
75
Gemini 2.5 Flash
59.4
Seed-2.0-Lite is ahead overall, 63 to 49. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 23.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 40.5. 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 21.7. 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 59.4. 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 59.2. 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 46.5. 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 67.7. 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 79. 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 70.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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