Alibaba’s Qwen releases open-source model for autonomous driving

Alibaba's Qwen team, with Huazhong University of Science and Technology, released Qwen-Drive-1.0-4B, an open-source model for autonomous driving that integrates driving-scene understanding and motion planning. Built on Qwen3.5-4B, it adds 3D perception and trajectory generation components, with two planning variants, and is available under the Apache 2.0 license.

Alibaba’s Qwen team has released Qwen-Drive-1.0-4B, an open-source model that combines driving-scene understanding with planning a vehicle’s movements. Developed with Huazhong University of Science and Technology, it uses Qwen3.5-4B as its vision-language foundation and adds separate components for 3D perception and generating driving trajectories. The release includes two versions of the planning component: one trained to imitate driving examples and another further optimized through reinforcement learning. Both use the same underlying vision-language model, which retains its original architecture and ability to answer visual questions. The project provides code, model weights and demo data under the Apache 2.0 license. Qwen https://github.com/QwenLM/Qwen-Drive-1.0