NVIDIA Cosmos Reason 2 Brings Advanced Reasoning To Physical AI

NVIDIA today released Cosmos Reason 2, the latest advancement in open, reasoning vision language models for physical AI. Cosmos Reason 2 surpasses its previous version in accuracy and tops the Physical AI Bench and Physical Reasoning leaderboards as the #1 open model for visual understanding.

NVIDIA Cosmos Reason 2: Reasoning Vision Language Model for Physical AI

Since their introduction, vision-language models have rapidly improved at tasks like object and pattern recognition in images. But they still struggle with tasks humans find natural, like planning several steps ahead, dealing with uncertainty or adapting to new situations. Cosmos Reason is designed to close this gap by giving robots and AI agents stronger common sense and reasoning to solve complex problems step by step.

Cosmos Reason 2 is a state-of-the-art, open reasoning vision-language model (VLM) that enables robots and AI agents to see, understand, plan, and act in the physical world like humans. It uses common sense, physics, and prior knowledge to recognize how objects move across space and time to handle complex tasks, adapt to new situations, and figure out how to solve problems step by step.

✨ Key Highlights

Improved spatio-temporal understanding and timestamp precision.
Optimized performance with flexible deployment options from edge to cloud with 2B and 8B parameters model sizes.
Support for expanded set of spatial understanding and visual perception capabilities — 2D/3D point localization, bounding box coordinates, trajectory data, and OCR support.
Improved long-context understanding with 256K input tokens, up from 16K with Cosmos Reason 1.
Adaptable to multiple use cases with easy-to-use Cosmos Cookbook recipes.

🤖 Popular Use Cases

Companies like Hitachi, Milestone and VAST Data are using Cosmos Reason to advance robotics, autonomous driving, and video analytics AI agents for traffic and workplace safety.