MBZUAI's IFM Releases PAN 2, an Open 29B World Model for Physical AI

The Institute for Foundational Models (IFM) at MBZUAI has released PAN 2, an open 29-billion-parameter world model specifically designed for Physical AI — systems that must reason about and interact with the physical world. PAN 2 is intended to serve as a foundation for robotics, embodied agents, and other physical AI applications, providing a large-scale open alternative to proprietary world models being developed by companies like Google and Tesla. For developers building robotics or embodied AI systems, the open release means they can fine-tune, adapt, and deploy a frontier-scale world model without licensing constraints. The 29B parameter scale places it in a competitive range with other leading open models, and its physical-world focus is a meaningful architectural distinction. This is a significant addition to the open physical AI ecosystem and worth evaluating for simulation, planning, and control tasks.