@ModelScope2022: Qwen-AgentWorld just dropped two releases on ModelScope! An open 35B total / 3B active MoE world model with 256K contex…
Summary
Qwen-AgentWorld releases an open 35B total / 3B active MoE world model with 256K context, along with a 7-domain benchmark, achieving state-of-the-art performance on AgentWorldBench.
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Qwen-AgentWorld just dropped two releases on ModelScope! An open 35B total / 3B active MoE world model with 256K context, plus a 7-domain benchmark grounded in real environment observations. https://modelscope.ai/collections/Qwen/Qwen-AgentWorld…
Qwen-AgentWorld-35B-A3B One model for 7 agent environments: MCP, Search, Terminal, SWE, Web, OS, and Android 47.73 → 56.39 on AgentWorldBench, surpassing Claude Sonnet 4.6 at 56.04 Three-stage training: CPT injects environment knowledge, SFT activates next-state prediction reasoning, and RL sharpens simulation fidelity
AgentWorldBench Covers 7 domains with 2,170 samples and 22.8 average turns Scores predictions on format, factuality, consistency, realism, and quality
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