Decart
Oasis 3
Decart's action-conditioned world model for physical-AI training, generating synchronized, controllable simulation views in real time.
Decart
Decart's action-conditioned world model for physical-AI training, generating synchronized, controllable simulation views in real time.
Plain-English overview
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.
Category comparison
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
API and provider access
Availability
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 availabilityData and 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.
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 policyFrequently asked questions
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.
The provider does not publish a clear release date for Oasis 3 in the source material reviewed by Cody.
API-accessible infrastructure focused first on autonomous-vehicle and physical-AI teams. The access routes listed in this guide are Decart.
Not publicly listed. Decart offers API and partnership access but does not publish a self-serve price on the model page.
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.
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.
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