Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
2026-06-30 • Artificial Intelligence
Artificial Intelligence
AI summaryⓘ
The authors introduce Seed2.0, a new model series designed to better handle real-world, complicated tasks by focusing on what users truly need. They created a special way to evaluate the model using realistic and complex benchmarks that reflect these needs. Seed2.0 improves on handling rare knowledge and following complex instructions, leading to more reliable performance on long and difficult tasks. It also shows strong reasoning, visual understanding, and search skills, aiming to meet common user demands. The authors demonstrate Seed2.0's ability to start tackling complex tasks through many real-world examples.
Seed2.0long-tail knowledgecomplex instruction followingbenchmarkinglong-horizon tasksreasoning intelligencevisual understandingsearch capabilitiesevaluation systemreal-world scenarios
Authors
Bytedance Seed
Abstract
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.