TEXT → VIDEO • CURATED • UPDATED JUL 7, 2026

NVIDIA Cosmos 3

Open physical-AI omnimodel for robotics and AV
Price
Free
API
No
Weights
Yes

NVIDIA Cosmos 3 is an open physical-AI omnimodel released around May 31 to June 1, 2026. It generates video, 3D, and physical-world simulations to train and evaluate robotics and autonomous vehicle systems without expensive real-world data collection.

Cosmos 3 is a major open contribution to physical AI. By simulating realistic worlds, it can accelerate training for robots and self-driving cars while reducing the need for dangerous or costly real-world trials.

Pricing Free
Platforms local, api, web
API No
Open Source Yes
Modalities Text → Video, Image → Video, Text → 3D
Best For Best for Physical AI Simulation
Date Added 2026-07-07
  • ✓Open model for physical AI research
  • ✓Generates video and 3D world simulations
  • ✓Reduces need for real-world robot data
  • ✓NVIDIA hardware optimization
  • ✓Broad applicability to robotics and AV
  • ⚠Requires powerful NVIDIA hardware
  • ⚠Sim-to-real gap still needs careful management
  • ⚠Research-oriented, not a polished product
  • ⚠Legal and safety review needed before deployment

Download Cosmos 3 weights and documentation from NVIDIA. Run inference on NVIDIA GPUs or use NVIDIA-hosted endpoints if available. Generate synthetic video and 3D scenes, then use them to train or test perception and planning models for robots or vehicles.

1 Use NVIDIA GPUs for best performance
2 Start with small simulation scenes
3 Combine synthetic data with real data for robustness
4 Validate sim-to-real transfer carefully
5 Use domain randomization to improve generalization
Website↗

Training a Warehouse Robot

Generate synthetic training data for object manipulation.

STEPS:
  1. Define the robot's environment and tasks
  2. Use Cosmos 3 to generate varied scenes
  3. Add physics and labels to the data
  4. Train the robot's vision policy
  5. Validate in simulation before real deployment
  6. Fine-tune with a small amount of real data

Autonomous Vehicle Scenario Generation

Create rare driving scenarios for safety testing.

STEPS:
  1. Identify rare or dangerous scenarios
  2. Prompt Cosmos 3 to generate these scenes
  3. Add ground-truth annotations
  4. Test the AV planner against generated data
  5. Iterate on failure cases
Free Completely free
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Q

Is NVIDIA Cosmos 3 free?

A

Yes, NVIDIA Cosmos 3 is completely free to use.

Q

Does NVIDIA Cosmos 3 have an API?

A

No, NVIDIA Cosmos 3 does not appear to offer a public API.

Q

What is NVIDIA Cosmos 3 best for?

A

NVIDIA Cosmos 3 is best for Physical AI Simulation. NVIDIA Cosmos 3 is an open physical-AI omnimodel released around May 31 to June 1, 2026. Cosmos 3 is a major open contribution to physical AI. By simulating realistic worlds, it can accelerate training for robots and self-driving cars while reducing the need for dangerous or costly real-world trials.

Q

What platforms does NVIDIA Cosmos 3 support?

A

NVIDIA Cosmos 3 supports local, api, web.

Q

Is NVIDIA Cosmos 3 open source?

A

Yes, NVIDIA Cosmos 3 is open source. You can access the source code, contribute, and deploy it on your own infrastructure.

Q

How do I get started with NVIDIA Cosmos 3?

A

Download Cosmos 3 weights and documentation from NVIDIA. Run inference on NVIDIA GPUs or use NVIDIA-hosted endpoints if available. Generate synthetic video and 3D scenes, then use them to train or test perception and planning models for robots or vehicles.

Q

How do I create videos with NVIDIA Cosmos 3?

A

NVIDIA Cosmos 3 generates videos from both text prompts and images. For text-to-video, enter detailed descriptions of the scene you want. For image-to-video, upload a reference image and the tool will animate it.

Q

How do I create 3D models with NVIDIA Cosmos 3?

A

NVIDIA Cosmos 3 generates 3D models from text descriptions. Enter detailed prompts describing the 3D object you want to create.

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