Apple gets full Gemini access to build on-device AI models for smarter Siri

Reviewed byNidhi Govil

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Apple's partnership with Google runs deeper than expected. The company has complete access to Google's Gemini model in its own data centers, allowing it to create smaller, distilled AI models that run locally on devices. This process enables Apple to build efficient models requiring less computing power while maintaining Gemini-like performance for Siri improvements.

Apple Gains Unprecedented Access to Gemini Infrastructure

The Apple Google AI deal extends far beyond a simple licensing arrangement, according to new reporting from The Information . Apple has complete access to Google's Gemini model within its own data center facilities, granting the iPhone maker significantly more freedom with Google's technology than previously understood. This access to Google's Gemini model allows Apple to manipulate and customize the large language model in ways that serve its specific product needs, particularly for transforming Siri into a more capable assistant.

Source: 9to5Mac

Source: 9to5Mac

The Apple and Google AI partnership reveals a sophisticated technical arrangement where Apple can leverage Gemini's capabilities while maintaining control over the user experience. According to sources with direct knowledge of the deal, Apple can use this access to produce smaller models designed for specific tasks or compact enough to run locally on its devices

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. This approach addresses one of the fundamental challenges in mobile AI: delivering powerful performance without requiring constant cloud connectivity or excessive computing power.

How Distillation Creates Efficient On-Device AI

The process Apple employs is called distillation, a technique where knowledge from a large language model transfers to smaller, more streamlined versions. Apple can ask the main Gemini model to perform a series of tasks that provide high-quality results along with a detailed rundown of the reasoning process

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. The company then feeds these answers and reasoning information to train smaller, cheaper models that can run locally on its devices without internet connectivity.

Source: MacRumors

Source: MacRumors

What makes this arrangement particularly valuable is that Apple's student models can learn to imitate the internal computations that Gemini uses to arrive at its answers, rather than simply copying the outputs. This results in distilled AI models that roughly approximate the performance of their state-of-the-art teachers while requiring significantly less computing power to operate

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. For users, this translates to faster responses and the ability to use AI features even when offline.

Challenges in Aligning Gemini With Apple's Vision

Despite the technical capabilities this partnership provides, Apple faces obstacles in adapting Google Gemini for its purposes. Sources indicate that Gemini has been primarily tuned for chatbot and coding applications, which doesn't always align with Apple's needs for Siri and other AI features

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. Apple can edit Gemini as needed to ensure it responds to queries in ways the company prefers, but this customization process has proven tricky.

The distillation process itself presents complications, as Apple's goals for a smarter Siri don't always match Gemini's specialties

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. This misalignment suggests Apple must invest significant engineering resources to reshape Gemini's capabilities for consumer-focused tasks rather than the developer and enterprise applications Google has prioritized.

Apple's Foundation Models Team Continues In-House Development

While Apple is relying on Google's Gemini models for the chatbot version of Siri planned for iOS 27, Apple's Foundation Models team hasn't abandoned work on proprietary AI systems. The team continues developing Apple AI models that are distinct from the Gemini models, though their current objectives remain unclear

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. This dual-track approach suggests Apple views the Google partnership as a bridge solution while building long-term AI capabilities internally.

The enhanced Siri coming in iOS 27 will perform many functions similar to Gemini and other chatbots, including answering questions, summarizing information, scanning and understanding uploaded documents, telling stories, providing emotional support, and completing tasks like booking travel

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. Whether Apple eventually replaces Gemini with its own Foundation Models or maintains this partnership will likely depend on how quickly the company's internal AI development progresses and whether users embrace the Gemini-powered features.

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