# Qwen Launches Native Language World Model Qwen-AgentWorld

- Category: Flash (快讯)
- Published: 2026-06-24T11:54:00.000Z
- Source date: 2026-06-24
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Alibaba Tongyi has launched Qwen-AgentWorld, the first native language world model, supporting agent interaction simulation across seven domains. Trained on tens of millions of real-world trajectories, it outperforms top models like GPT-5.4 and Claude Opus 4.8 in proprietary benchmarks.

## At a glance

- Qwen-AgentWorld is the first native language world model covering seven interaction domains
- Trained on tens of millions of real trajectories, its simulation quality surpasses top models like GPT-5.4

## The update

Alibaba Tongyi has officially released Qwen-AgentWorld, the industry's first native language world model. This model can accurately simulate agent interaction environments across seven core domains: MCP, Search, Terminal, Software Engineering, Web, OS, and Android. It is trained on over ten million real-world environment trajectories using a three-stage end-to-end process comprising continuous pre-training, supervised fine-tuning, and reinforcement learning. In the proprietary AgentWorldBench benchmark, Qwen-AgentWorld demonstrated superior overall simulation quality, outperforming several leading models including GPT-5.4 and Claude Opus 4.8, showcasing robust capabilities in environment understanding and interaction simulation.

## Sources

- [千问大模型](https://mp.weixin.qq.com/s/bcNrnicCIjsArrFGMamSKg) (2026-06-24)

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