In a notable collaboration, Apple revealed at WWDC 2026 that its next-generation
Foundation Models were built in partnership with Google and Gemini models.
The models power on-device and server-side AI features across Apple platforms,
and small developers get free cloud API access.
The Apple-Google AI stack
Apple's Foundation Models framework now serves as a single native Swift API
that supports:
- On-device models with image input, running locally on Apple Silicon
- Server models via Private Cloud Compute, Apple's privacy-preserving cloud
- Custom skills, developers define model capabilities declaratively
- Dynamic Profiles, update how models interact with apps at runtime
- Third-party models, Claude, Gemini, or any provider implementing Apple's
new language model protocol
Core AI: run LLMs locally
For developers wanting to ship their own custom models, Core AI is a new
framework optimized for Apple Silicon's unified memory and Neural Engine. It's
designed to be the best way to run full-scale LLMs on-device, no cloud
dependency, no API costs, complete privacy.
Free for small developers
Developers enrolled in the App Store Small Business Program (under 2 million
first-time downloads) get access to Apple Foundation Models running on Private
Cloud Compute at no cloud API cost. This is a strategic play to keep indie
developers building for Apple platforms rather than defecting to web or
cross-platform alternatives where AI APIs are pay-per-token.
The collaboration angle
Apple building models with Google rather than competing alone signals a
pragmatic shift. Apple brings on-device optimization and privacy infrastructure;
Google brings model training expertise at scale. The result: Apple developers
get state-of-the-art models without Apple having to match OpenAI or Anthropic's
training investments alone.
The bottom line
Apple's AI strategy is now clear: partner for model training, own the on-device
runtime, and give small developers free access to keep the ecosystem growing.
If you're an indie Apple developer, you just got access to production LLMs at
zero incremental cost.