Released 2026-06-24 · world model
Deployment evidence
Alibaba Qwen · 35B total · 3B active · 256K tokens
Best-fit scenarios
A language world model for simulating MCP, Search, Terminal, SWE, Android, Web and OS agent environments.
Not recommended
- General-purpose chat replacement
- Treating simulated success as proof of real-environment reliability
Agent environment simulation
Vendor-statedThe model predicts environment transitions across seven unified domains.
Capability sourceSynthetic trajectories and perturbation tests
Vendor-statedOfficial materials highlight controllable simulation and fictional-world construction.
Capability sourceAgent regression evaluation
ChinaAPI inferenceUseful as a simulator component, not as a drop-in customer chatbot.
Official launch / minimum
Evidence COfficial tp4 launch
Official SGLang and vLLM examples use tensor parallel size 4. Primary recipe
200-person team
Evidence ENot a seat based service
Size by simulation jobs and trajectory length, not employee seats.
Commercial API
Evidence ESpecialized service
Expose behind a task-specific simulator contract; do not market it as a normal chat-completions quality substitute.
Commercial-use check
Apache-2.0
MaaS / hosted service: No model-specific MaaS restriction identified in Apache-2.0.
Attribution: Provide the license and notices, preserve attribution notices, and mark modified files.
Known limitations and open questions
- World-model outputs are simulations
- The 35B release covers seven named domains, not arbitrary physical environments
