Model Card 2026 Technical report

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

A model family combining reasoning, multimodal understanding, and agentic execution for complex real-world tasks.

Bytedance Seed

The formal author is Bytedance Seed, and Qinyu Luo is named in the Contributors section. The model was released on February 14, 2026; this entry follows the report’s June 30, 2026 arXiv publication.

Original Seed2.0 comparison of solved programming problems across five ICPC contests, including model results and the full legend. — Fig. 7 — Original Seed2.0 competitive programming results across five ICPC contests.Original source ↗

01 / The question

How can a foundation model turn strong reasoning into reliable completion of complex real-world tasks?

02 / The approach

Seed2.0

Seed2.0 targets long-tail domain knowledge and complex instruction execution, with Pro, Lite, and Mini variants balancing capability and inference speed. The model card evaluates scientific discovery, coding, context learning, and real-world workflows, alongside language, vision, and agent benchmarks.

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03 / Citation

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BibTeX

@misc{seed2026seed20,
  title = {Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity},
  author = {{Bytedance Seed}},
  year = {2026},
  eprint = {2607.00248},
  archivePrefix = {arXiv},
  primaryClass = {cs.AI},
  url = {https://arxiv.org/abs/2607.00248}
}

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04 / Versions & records

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1 Google Scholar record

Seed2. 0 model card: Towards intelligence frontier for real-world complexity ↗

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How can a foundation model turn strong reasoning into reliable completion of complex real-world tasks?

Seed2.0

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