Caffeine AI lets users choose the model behind their app builds

Caffeine AI has introduced a new option allowing users to choose which AI model builds their applications, giving them greater control over how they approach different development tasks.

The company says users can now select from a range of models, including Opus 5.5, Fable 5.1, GPT-6 Astra, GPT-6 Sol, Kimi K3, Sonnet 5 and DeepSeek V4.1 Flash. The models can be selected depending on the type of work a user wants the platform to handle.

Caffeine says a user can start by using a frontier model to plan and build a new application, then switch to a faster or lower-cost model for smaller changes and questions. The company says the model selection is available across its plans.

The change gives users more choice over the AI involved in the building process, although Caffeine has previously taken a more automated approach. Its documentation says the platform uses multiple AI agents and automatically selects models for different tasks, including code generation, design and quality review.

Caffeine is designed around natural-language app development, allowing users to describe an application and have the platform generate its frontend, backend and data storage. The resulting applications run on the Internet Computer, with the backend written in Motoko and data stored within the application itself.

The platform has also been developing Caffeine Inference, which takes a different approach by working towards smart model routing rather than asking users to select a model themselves. Caffeine says the planned routing system would consider factors such as model cost and response speed before directing a request to an available model.

The latest model-selection option therefore gives users a more direct role in choosing how their applications are built, while Caffeine continues to develop automated tools for handling model selection and inference behind the scenes.


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