Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
For a broad user base, Seed2.0 improves reliability on intricate tasks, but the claims are qualitative and lack concrete performance numbers, making the significance incremental.
Seed2.0 is a model series designed to tackle complex real-world tasks by addressing long-tail knowledge and complex instruction following, achieving world-leading reasoning, visual understanding, and search capabilities that benefit hundreds of millions of users.
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.