Decart launches Oasis 3, a photorealistic driving simulation model for developers

Jun 10, 2026

AI Summary

Decart has introduced Oasis 3, an interactive world model capable of generating photorealistic driving environments in real time. Initially targeting autonomous vehicle companies, the model aims to foster a developer ecosystem by offering API access, similar to strategies used by OpenAI with language models.

Decart unveiled Oasis 3, a new world model that creates photorealistic driving simulations in real time, available via API.
The startup is focusing on autonomous vehicle companies and plans to expand into robotics and other physical AI applications.
Oasis 3 is built on the foundation of Decart's previous model, Lucy, which has over 100,000 developers creating products in e-commerce and live streaming.
Access to Oasis 3 is priced at $0.02 per second, with enterprise pricing based on specific use cases.
The model's efficiency is enhanced by Decart's DOS software, allowing it to run on Nvidia, Amazon, and Google hardware at lower costs than competitors.
Oasis 3 generates multi-camera environments for training and testing, allowing developers to create infinite scenarios, beneficial for autonomous vehicle testing.
Initial scenes generated by Oasis 3 are photorealistic, but the thematic integrity degrades over time, leading to inconsistencies in the environment.
The model currently struggles with physics simulation, as vehicles can pass through each other, a challenge the company is actively addressing.
Oasis 3's architecture is auto-regressive, generating frames one at a time, which complicates maintaining consistency over longer interactions.
Decart is researching ways to improve the model's memory and context length to enhance consistency in future versions.
The founder anticipates a developer community will emerge around Oasis 3, similar to the early days of language models, leading to innovative applications.

autonomous vehiclessimulationphotorealisticapiworld model

Decart launches Oasis 3, a photorealistic driving simulation model for developers

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