NVIDIA's Cosmos Predict 2.5 and Cosmos Transfer 2.5 are the latest advancements in their family of open world models aimed at enhancing physical AI, robotics, and simulation-driven AI. Cosmos Predict 2.5 unifies Text2World, Image2World, and Video2World into a single model that generates consistent and controllable video worlds from various input modalities, improving quality, efficiency, and multi-view generation for applications like autonomous vehicle training. Cosmos Transfer 2.5 focuses on transforming these generated worlds, offering high-fidelity, spatially conditioned world-to-world translation with reduced errors and better adherence to control signals, particularly benefiting autonomous vehicles and robotic policy training. Both models leverage Cosmos Reason 1, a vision language model, for improved reasoning and semantic grounding, while the Cosmos Dataset Search accelerates model training by enabling rapid data retrieval. Together, these innovations support scalable and reliable AI development, providing resources such as the Cosmos Cookbook and community engagement for developers to customize and deploy these models effectively.