Qwen/WebWorld 32B/14B/8B (Qwen3 finetune)

**WebWorld** is a large-scale **open-web world model** series for training and evaluating web agents. It is trained on **1M+ real-world web interaction trajectories** via a scalable hierarchical data pipeline, supporting: * **Long-horizon simulation** (30+ steps) * **Multi-format state representations**: A11y Tree, HTML, XML, Markdown, and natural language * **CoT-activated reasoning** for transition prediction * **Cross-domain generalization** to code, GUI, and game environments Agents trained on WebWorld-synthesized trajectories achieve **+9.9% on MiniWob++** and **+10.9% on WebArena**. When used for inference-time lookahead search, WebWorld **outperforms GPT-5** as a world model. [https://huggingface.co/Qwen/WebWorld-32B](https://huggingface.co/Qwen/WebWorld-32B) [https://huggingface.co/Qwen/WebWorld-14B](https://huggingface.co/Qwen/WebWorld-14B) [https://huggingface.co/Qwen/WebWorld-8B](https://huggingface.co/Qwen/WebWorld-8B)