Seed1.8 Model Card: Towards Generalized Real-World Agency
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Abstract (arXiv)
We present Seed1.8, a foundation model aimed at generalized real-world agency: going beyond single-turn prediction to multi-turn interaction, tool use, and multi-step execution. Seed1.8 keeps strong LLM and vision-language performance while supporting a unified agentic interface-search, code generation and execution, and GUI interaction. For deployment, it offers latency- and cost-aware inference, including configurable thinking modes and optimized visual encoding for images and video. We report evaluations on standard benchmarks and application-aligned workflows spanning foundational skills, multimodal understanding, and agentic behavior. Seed1.8 is released to support further research and development on interactive, real-world use cases.
Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). Builds on 82 of its 100 references that are in the map. First posted on arXiv 21 Mar 2026.
Builds on
82 of 100 references.
References · 82
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50 most cited of 82 All 82 (JSON)
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