Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks

Alibaba's Qwen team released Qwen-AgentWorld on Tuesday — two models trained not to act inside agent environments, but to predict what those environments return. The release covers seven domains under a single architecture: MCP, Search, Terminal, Software Engineering, Android, Web, and OS. The release extends Alibaba's recent push into autonomous agents. Qwen3.7-Max, released in May, was built around a 35-hour autonomous execution capability. That shift targets a ceiling teams training age