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Qwen team at AlibabaJune 24, 2026

Qwen-AgentWorld

Open Source
open-source
language model
simulation
AI

Explore Qwen-AgentWorld

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### TL;DR

Qwen-AgentWorld is an open-source language world model developed by QwenLM, designed to simulate agentic environments across seven unified domains: MCP, Search, Terminal, SWE, Android, Web, and OS. It employs a three-stage training pipeline—CPT, SFT, and RL—on over 10 million real-world interaction trajectories to enhance its simulation fidelity and generalization capabilities.

Key Insights & Metrics

Pricing
Free
Cost structure
Version
Initial Release
Current release version
Hardware
To run the 35B model efficiently, you will need a multi-GPU setup; ideally 4 GPUs with at least 70GB to 80GB of total VRAM
Compute requirements
Category
Open Source
Licensing model
Region
China
Primary region

Key Features

  • Simulates agentic environments across seven unified domains
  • Employs a three-stage training pipeline: CPT, SFT, and RL
  • Trained on over 10 million real-world interaction trajectories
  • Available on Hugging Face and ModelScope
  • Technical report accessible on arXiv

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