comma.ai openpilot (supercombo)
An 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.
- Developer
- comma.ai, USA
- First release
- Jan 2020
- Latest release
- Sep 2026
- Sizes
- compact, designed for an in-vehicle device
- License
- Commercial use allowedMIT (the whole repository, including model files)
- Running
- On your own serverNeeds a GPU
- Industries
- Manufacturing and logistics, Science and research
What it does
- A research testbed for driver assistance systems
- Studying driver attention monitoring with an in-cabin camera
- Comparison with your own lane-keeping algorithms
Where it is used
Hardware requirements
Versions
- driving_supercombo (текущая)
- supercombo в openpilot
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 comma.ai openpilot (supercombo) be used in a commercial project?
Yes. License: MIT (the whole repository, including model files). It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does comma.ai openpilot (supercombo) need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller 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 comma.ai openpilot (supercombo) support Russian?
Language does not matter for this model: it does not work with text.
Where can I download comma.ai openpilot (supercombo) and what does it cost?
The comma.ai openpilot (supercombo) 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.
DetailsAutonomous drivingQwen-DriveAlibaba (Qwen team) · ChinaCommercial use allowedAn 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.
DetailsSource: github.com/commaai/openpilot/commits/master. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


