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Decart

Oasis 3

Decart's action-conditioned world model for physical-AI training, generating synchronized, controllable simulation views in real time.

Plain-English overview

What Oasis 3 actually is

Oasis 3 is aimed at robotics and autonomous systems rather than entertainment-only worlds. A policy sends physical control signals, the generated environment responds, and the loop continues without rebuilding a hand-authored scene.

Decart reports under 200ms end-to-end and 22fps for three synchronized 512×768 views. Those are provider measurements for its infrastructure, not independent Cody benchmarks.

Good fit for

  • Autonomous-vehicle edge-case simulation
  • Closed-loop physical-AI training
  • Teams exploring generated alternatives to fixed simulators

Category comparison

The facts that matter for world models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Price basis
Not publicly listedPublic API cost where available; research and private-beta models may not publish one.
Access stage
API / partner accessPublic API, research experiment, partner onboarding, or private beta.
What it creates
Action-conditioned physical-AI simulatorThe kind of interactive environment or embodied experience produced.
Interaction
22 fps; under 200ms end-to-end claimPublished frame rate, latency, or realtime behavior with its original basis.
Visual output
512×768×3 synchronized viewsProvider-published resolution or output format where available.
API access
Yes, onboarding may be requiredWhether developers can integrate the model today and under what access model.

API and provider access

Where to get Oasis 3

Availability

Regions and access stage

API-accessible infrastructure focused first on autonomous-vehicle and physical-AI teams.

Public country and residency details are not listed; partnership access may be required for production use.

Check live availability

Data and training

The route matters.

The model page does not state a complete API training-use or retention policy. Physical-AI teams should obtain contractual data-handling terms before contributing proprietary scenarios or fleet data.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

Oasis 3 FAQ

What is Oasis 3?

Decart's action-conditioned world model for physical-AI training, generating synchronized, controllable simulation views in real time. Oasis 3 is aimed at robotics and autonomous systems rather than entertainment-only worlds. A policy sends physical control signals, the generated environment responds, and the loop continues without rebuilding a hand-authored scene.

When was Oasis 3 released?

The provider does not publish a clear release date for Oasis 3 in the source material reviewed by Cody.

Where can I access Oasis 3?

API-accessible infrastructure focused first on autonomous-vehicle and physical-AI teams. The access routes listed in this guide are Decart.

How much does Oasis 3 cost?

Not publicly listed. Decart offers API and partnership access but does not publish a self-serve price on the model page.

Where is Oasis 3 available?

API-accessible infrastructure focused first on autonomous-vehicle and physical-AI teams. Public country and residency details are not listed; partnership access may be required for production use.

Is my Oasis 3 API data used for training?

The model page does not state a complete API training-use or retention policy. Physical-AI teams should obtain contractual data-handling terms before contributing proprietary scenarios or fleet data. The policy belongs to the provider route and account terms, so verify it again before production use.