Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
About
We present Seed2.0, a model series that takes a meaningful step toward solving complex, real-world tasks. Our approach begins with identifying users' genuine needs and constructing a reliable, forward-looking evaluation system by selecting and abstracting benchmarks grounded in these needs and in realistic, complex scenarios. Guided by this evaluation system, Seed2.0 targets two persistent challenges, long-tail knowledge and complex instruction following, substantially improving the model's reliability on intricate, long-horizon tasks. Beyond these, Seed2.0 delivers world-leading reasoning intelligence, visual understanding, and search capabilities that address the most common needs of a broad user base. Through extensive real-world use cases documented in this model card, we demonstrate that Seed2.0 begins to exhibit the ability to handle initial complex real-world tasks, delivering greater value to hundreds of millions of users.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Long Video Understanding | LVBench | Accuracy76.4 | 267 | |
| Long Video Understanding | LongVideoBench | Accuracy80.3 | 103 | |
| Long Video Understanding | VideoMME | Accuracy89.5 | 97 | |
| Video Understanding | MMVU | Accuracy78.2 | 91 | |
| Video Reasoning | Video-Holmes | Accuracy67.4 | 89 | |
| Deep Research | DeepResearch Bench | -- | 58 | |
| Science | MMLU-Pro | Accuracy87 | 48 | |
| Code Generation | LiveCodeBench v6 | Score81.7 | 45 | |
| General Video Understanding | TempCompass | Accuracy89.6 | 43 | |
| General Visual Question Answering | SimpleVQA | Pass@171.4 | 40 |