# Qwen-AgentWorld-35B-A3B: Self-Hosting Hardware, Scenarios and Commercial License

> A language world model for simulating MCP, Search, Terminal, SWE, Android, Web and OS agent environments.

- Verified: 2026-09-12
- Released: 2026-06-24
- Canonical: https://chinaapi.ai/open-model-deployment/qwen-agentworld-35b-a3b/
- Back to directory: https://chinaapi.ai/open-model-deployment/
- Machine-readable dataset: https://chinaapi.ai/data/open-model-deployment.json

## Model facts

- Vendor: Alibaba Qwen
- Parameters: 35B total; 3B active
- Native precision: BF16
- Context: 256K tokens
- Category: Digital-world and environment models
- Modalities: text, environment state, action history → predicted environment state
- Serving paths: SGLang, vLLM
- Official weights: https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- Model documentation: https://github.com/QwenLM/Qwen-AgentWorld?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment

## Deployment evidence

- **Official launch / minimum — evidence C:** Official SGLang and vLLM examples use tensor parallel size 4. Source: https://github.com/QwenLM/Qwen-AgentWorld?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **200-person team — evidence E:** Size by simulation jobs and trajectory length, not employee seats.
- **Commercial API — evidence E:** Expose behind a task-specific simulator contract; do not market it as a normal chat-completions quality substitute.

## Scenario evidence

- **Agent environment simulation — Vendor-stated:** The model predicts environment transitions across seven unified domains. Source: https://github.com/QwenLM/Qwen-AgentWorld?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **Synthetic trajectories and perturbation tests — Vendor-stated:** Official materials highlight controllable simulation and fictional-world construction. Source: https://github.com/QwenLM/Qwen-AgentWorld?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **Agent regression evaluation — ChinaAPI inference:** Useful as a simulator component, not as a drop-in customer chatbot.

## Commercial-use check

- License: Apache-2.0 — https://github.com/QwenLM/Qwen-AgentWorld/blob/main/LICENSE?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- 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.

## Avoid or validate first

- General-purpose chat replacement
- Treating simulated success as proof of real-environment reliability

## Known limitations and open questions

- World-model outputs are simulations
- The 35B release covers seven named domains, not arbitrary physical environments

## Evidence boundary

Loading weights, completing a first forward pass and meeting a production latency/SLA are separate thresholds. The 200-person and commercial tiers require workload-specific measurement. License summaries are product research, not legal advice.

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