Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments

Qwen has released the Qwen-AgentWorld-35B-A3B, a 35 billion parameter mixture of experts (MoE) model that activates approximately 3 billion parameters per token. This model is designed to simulate various environments, including MCP, terminal, software engineering, Android, web, and OS interactions, by predicting the next state based on an agent's actions. It is particularly relevant for practitioners focused on agent training, offline evaluation, and the development of synthetic environments for tool-use workflows.