Seed1.8 AI Model Released for Real-World Interactive Applications
The Seed1.8 foundation model has been introduced to advance generalized real-world agency capabilities. Developed to move beyond single-turn prediction, this artificial intelligence system enables multi-turn interactions, tool utilization, and multi-step execution. While maintaining robust large language model and vision-language performance, Seed1.8 provides a unified agentic interface supporting search functions, code generation and execution, and graphical user interface interaction. For practical deployment, the model offers latency- and cost-aware inference with configurable thinking modes and optimized visual encoding for both images and video content. Evaluations have been conducted across standard benchmarks and application-aligned workflows covering foundational skills, multimodal understanding, and agentic behavior. The model's release aims to support additional research and development focused on interactive, real-world use cases. Seed1.8 represents progress toward artificial intelligence systems capable of more complex, sequential interactions with digital environments.
Key facts
- Seed1.8 is a foundation model for generalized real-world agency
- It supports multi-turn interaction, tool use, and multi-step execution
- The model maintains strong LLM and vision-language performance
- It offers a unified agentic interface including search, code generation, and GUI interaction
- Deployment features include latency- and cost-aware inference
- Configurable thinking modes and optimized visual encoding are included
- Evaluations cover standard benchmarks and application-aligned workflows
- The model is released to support further research on interactive use cases
Entities
Institutions
- arXiv