---
source: arxiv
source_url: https://arxiv.org/abs/2607.00248
source_published: 2026-06-30
ingested: 2026-07-04
sha256: 7646984f87662e4987f2c3e62391d527cec7a8807e40e4f89a112537c98eb031
---

# Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity

**Authors**: Bytedance Seed
**Submitted**: 30 Jun 2026
**Category**: cs.AI (Artificial Intelligence)
**DOI**: https://doi.org/10.48550/arXiv.2607.00248

**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.

**Significance**: Seed2.0 is ByteDance's next-generation flagship model series, building on Seed 2.0 Lite to address full-scale real-world complexity. Key contributions include: long-tail knowledge handling, complex instruction following, world-leading reasoning intelligence, visual understanding, and search capabilities. The model card paradigm emphasizes real-world use case documentation over benchmark-only reporting.