Apple is finalizing a deal to pay Google roughly $1 billion per year for a custom 1.2 trillion-parameter Gemini model to power the long-promised overhaul of Siri, according to Bloomberg. The agreement—codenamed Project Glenwood, represents Apple's admission that its in-house AI models aren't competitive enough to deliver the Siri upgrade promised at WWDC 2024. The revamped Siri is expected to launch in spring 2026 with iOS 26.4, but Apple plans this as a temporary solution while developing its own 1 trillion-parameter model. The announcement: On November 5, 2025, Bloomberg reported that Apple is finalizing an agreement to license Google's 1.2 trillion-parameter Gemini AI model for approximately $1 billion annually to power Siri's upcoming overhaul. The custom Gemini model will handle Siri's summarizer and planner functions—the components that synthesize information and execute complex multi-step tasks—while some features will continue using Apple's in-house models. The partnership, overseen by Apple executive Mike Rockwell under Project Glenwood, follows an extensive evaluation period where Apple also tested models from OpenAI and Anthropic before selecting Google based primarily on cost considerations. The upgraded Siri is targeted for spring 2026 release alongside iOS 26.4. What's happening: Google's 1.2 trillion-parameter Gemini model dwarfs Apple's current AI capabilities, which use a 150 billion-parameter cloud-based model and a 3 billion-parameter on-device model. The massive parameter difference—8x larger than Apple's cloud model—represents a fundamental gap in AI capability that Apple cannot close quickly. For context, parameters measure how an AI model understands and responds to queries, with more parameters generally indicating greater capability. The Gemini model will run on Apple's Private Cloud Compute infrastructure, meaning user data will not be shared with Google despite Google providing the underlying AI technology. This architecture allows Apple to maintain its privacy-first positioning while leveraging Google's superior AI capabilities. Apple has emphasized that its Private Cloud Compute servers process AI workloads without exposing user data to third parties.

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