Alibaba’s robot brain tops Google

Alibaba just released RynnBrain, an open-source “physical AI” model designed to power robots with better real‑world perception and planning, putting it in direct competition with Google and Nvidia in embodied AI.

RynnBrain is trained on Alibaba’s Qwen3‑VL vision-language system, letting robots map objects, predict trajectories, and navigate cluttered spaces.

The model targets a key weakness in current robotics stacks poor spatial and temporal memory by letting robots remember where items are.

Alibaba says RynnBrain hits performance on 16 embodied-AI benchmarks and outperforms Google’s Gemini Robotics‑ER 1.5 and Nvidia’s Cosmos‑Reason2.

Multiple versions, starting around 2B parameters, are already live on Hugging Face and GitHub for developers to drop into their own hardware.

RynnBrain is Alibaba’s bid to own the brains of China’s next generation of robots, not just sell the cloud around them.

By open-sourcing a model that it claims beats Google and Nvidia on key benchmarks, Alibaba is angling to make its stack the default toolkit for anyone building bots that need to work in the real world.