Is there a meaningful distinction between the Gemini-powered models and Apple Foundation Models? Does that distinction vary for on-device vs hosted models? Are some models running on Apple's Private Cloud Compute and others running on Google iron?
Edit: they elaborated significantly in a "keynote tech-talk": [0]
According to Apple, there are five models:
On-Device
- AFM Core: Dense architecture; the standard next-gen on-device model
- AFM Core Advanced: Sparse architecture, natively multimodal; enables features like image understanding and expressive voices
Private Cloud Compute
- AFM Cloud: Workhorse server model optimized for latency and cost
- AFM Cloud Image: Image generation and editing
- AFM Cloud Pro: Most capable model, Gemini frontier-level quality, for complex reasoning and agentic tasks; runs on NVIDIA GPUs in Google's cloud under Apple's PCC privacy guarantees
Everything excluding Cloud Pro are custom models running on Apple Silicon, "refined" using Google Gemini. About Cloud Pro, they say "this is our most capable model with quality similar to Gemini frontier models." So I might read between the lines and say this is a wrapped Gemini.
[0]: https://9to5mac.com/2026/06/08/craig-federighi-details-apples-collaboration-with-google-for-siri-ai-in-ios-27/