Qwen-Drive
An autonomous driving model based on Qwen3.5-4B: 3D detection of objects around the vehicle, answers to questions about the road scene and trajectory planning in one model.
- Developer
- Alibaba (Qwen team), China
- First release
- Aug 2026
- Latest release
- Aug 2026
- Sizes
- 4B
- License
- Commercial use allowedApache 2.0
- Running
- On your own serverNeeds a GPU
- Industries
- Manufacturing and logistics, Science and research
What it does
- A perception and planning prototype for autonomous vehicles on closed sites
- Answering questions about camera recordings when reviewing incidents
- Labeling road scenes to train your own models
Where it is used
Hardware requirements
Versions
- Qwen-Drive 1.0 4B
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can Qwen-Drive be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Qwen-Drive need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Qwen-Drive support Russian?
Language does not matter for this model: it does not work with text.
Where can I download Qwen-Drive and what does it cost?
The Qwen-Drive weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Vision-language-action models for self-driving vehicles: they plan a trajectory from camera video and explain the decision in text. Used to develop and test autopilot systems, not as a ready-made autopilot.
DetailsImage + textQwen-VLAlibaba (Qwen team) · ChinaCommercial use allowedOne of the strongest open vision models: reads documents, tables, charts and video, and works with user interfaces. Since Qwen3.5, vision is built directly into the main Qwen model.
DetailsAutonomous drivingcomma.ai openpilot (supercombo)comma.ai · USACommercial use allowedAn open driver assistance system: a neural network keeps the lane and controls speed from a camera, plus a driver attention monitoring model. The models live right in the repository and are updated constantly.
DetailsSource: huggingface.co/api/models/Qwen/Qwen-Drive-1.0-4B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


