model releaseNVIDIA

NVIDIA Releases Cosmos 3: 64B-Parameter Omnimodal World Model for Physical AI

TL;DR

NVIDIA released Cosmos 3, an omnimodal world foundation model platform for Physical AI spanning robotics, autonomous driving, and industrial environments. The flagship Cosmos3-Super variant contains 64 billion parameters and generates video, images, audio, and action commands from text, image, video, and action trajectory inputs using a Mixture-of-Transformers architecture.

2 min read
0

NVIDIA Releases Cosmos 3: 64B-Parameter Omnimodal World Model for Physical AI

NVIDIA released Cosmos 3, an omnimodal world foundation model platform designed to accelerate Physical AI development across robotics, autonomous vehicles, and industrial environments. The model collection is available on Hugging Face and GitHub as of May 31, 2026.

Model Specifications

Cosmos 3 comes in five variants with parameter counts ranging from 16B to 64B:

  • Cosmos3-Nano: 16 billion parameters
  • Cosmos3-Super: 64 billion parameters
  • Cosmos3-Nano-Policy-DROID: 16 billion parameters (robotics-specific)
  • Cosmos3-Super-Image2Video: 64 billion parameters
  • Cosmos3-Super-Text2Image: 64 billion parameters

All models are released under the OpenMDW1.1 license for commercial and non-commercial use.

Technical Architecture

Cosmos 3 uses a Mixture-of-Transformers (MoT) architecture consisting of two complementary transformer towers: an autoregressive transformer for discrete token generation and a diffusion transformer for continuous multimodal generation. Text generates through standard next-token autoregressive decoding, while non-text modalities synthesize through iterative denoising.

Input and Output Capabilities

The models accept multimodal inputs including:

  • Text: Up to 256K tokens context window for reasoning tasks
  • Images: 256p, 480p, and 720p at aspect ratios 16:9, 4:3, 1:1, 3:4, 9:16
  • Video: Up to 5 input frames at the same resolutions
  • Audio: 48 kHz stereo with up to 0.5 second duration
  • Action trajectories: Compatible with 10 robot embodiments including Franka Panda, UR, Google robot, and WidowX 250

Outputs include video generation from 5 to 400 frames (default 189 frames), images in JPEG format, 48 kHz stereo AAC audio, and robot action sequences.

Robot Platform Support

Cosmos 3 supports action generation for specific robot platforms with dimensionality ranging from 9D (camera motion, UMI) to 57D (egocentric motion). Compatible embodiments include single and dual Franka Panda arms with RobotiQ grippers (10D and 20D), Agibot (29D), and autonomous vehicle control (9D).

Hardware Requirements

According to NVIDIA, the models are optimized for NVIDIA Ampere, Hopper, and Blackwell GPU architectures running Linux. Only BF16 precision is officially supported and tested. The models integrate with PyTorch, vLLM-Omni, and Hugging Face Diffusers runtimes.

What This Means

Cosmos 3 represents NVIDIA's entry into omnimodal world models that bridge multiple AI modalities—vision, language, audio, and robotic control—within a unified architecture. The 256K token context window for reasoning and support for 10 robot embodiments positions it for physical AI applications requiring long-horizon planning. The dual-transformer architecture's separation of discrete and continuous generation mechanisms addresses a core challenge in multimodal modeling. Pricing information has not been disclosed.

Related Articles

model release

NVIDIA Releases Cosmos 3 Edge: 4B-Parameter World Model for Real-Time Robot Control at 15 Hz

NVIDIA has released Cosmos 3 Edge, a 4-billion-parameter open world model designed for edge AI systems. The model delivers real-time robot control at 15 Hz on NVIDIA Jetson devices, generating 32 actions per inference at 640×360 resolution.

model release

Alibaba previews Qwen3.8 with 2.4 trillion parameters, claims second place without benchmark data

Alibaba unveiled Qwen3.8 at the World Artificial Intelligence Conference in Shanghai, claiming the 2.4 trillion parameter model ranks second only to Anthropic's Fable 5. The company provided no benchmark scores, model card, or independent verification to support the claim.

model release

NVIDIA Releases Nemotron-3-Embed-1B-BF16: 1.14B Parameter Multilingual Embedding Model with 2048-Dimensional Vectors

NVIDIA has released Nemotron-3-Embed-1B-BF16, a 1.14 billion parameter text embedding model supporting 34 languages with a 32,768 token context window. The model generates 2048-dimensional embeddings and was derived from Ministral-3-3B-Instruct-2512 through two rounds of structured pruning and distillation, first to 2B then to 1.14B parameters.

model release

Black Forest Labs releases FLUX.2: 32B open-weight image model with 4MP editing and 10-image multi-reference support

Black Forest Labs has released FLUX.2, a family of image generation models including a 32B parameter open-weight variant. The models support editing at up to 4 megapixel resolution and can reference up to 10 images simultaneously for character and style consistency.

Comments

Loading...