Qwen-AgentWorld: Language World Models for General Agents

Alibaba releases Qwen-AgentWorld, a native language world model for simulating agent environments across seven domains, along with the AgentWorldBench benchmark. The model and benchmark are available on Hugging Face and ModelScope.

From the source
Today we release Qwen-AgentWorld , a native language world model that simulates agent environments across seven domains: Native world modeling: environment modeling is the training objective from continual pre-training onward (CPT → SFT → RL), not a post hoc adaptation on top of a general-purpose LLM. Seven domains, one model: a single model simulates text-based (MCP, Search, Terminal, SWE) and GUI-based (Web, OS, Android) environments, with knowledge transferring across domains. Together with the model, we release AgentWorldBench , a seven-domain evaluation benchmark with paired ground-truth observations from real environments.
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