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Developer tools

We're rolling out AlphaEvolve widely to solve Google Cloud customers' hardest problems. Expanding Managed Agents in Gemini API: background tasks, remote MCP and more The latest AI news we announced in June 2026 Ask an AI expert: What exactly is the full stack? Interactions API: our primary interface for Gemini models and agents DiffusionGemma: 4x faster text generation See what 3 builders are making with Gemma 4 Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency Kaggle is making AI benchmark creation effortless Introducing Gemma 4 12B: a unified, encoder-free multimodal model How we used Gemini to build Google I/O 2026 Take our I/O 2026 quiz, vibe coded in Google AI Studio. Here's what developers can do with the latest Google Play updates. Building the agentic future: Developer highlights from I/O 2026 I/O 2026 Introducing Managed Agents in the Gemini API Bring any idea to life: Google AI Studio at I/O 2026 Gemini API File Search is now multimodal: build efficient, verifiable RAG Accelerating Gemma 4: faster inference with multi-token prediction drafters The latest AI news we announced in April 2026 Reduce friction and latency for long-running jobs with Webhooks in Gemini API Join the new AI Agents Vibe Coding Course from Google and Kaggle Deep Research Max: a step change for autonomous research agents Start vibe coding in AI Studio with your Google AI subscription. Prepay for the Gemini API to get more control over your spend Introducing Learn Mode: your personal coding tutor in Google Colab Gemma 4: Byte for byte, the most capable open models New ways to balance cost and reliability in the Gemini API The latest AI news we announced in March 2026 Improve coding agents’ performance with Gemini API Docs MCP and Agent Skills. Build with Veo 3.1 Lite, our most cost-effective video generation model
Bringing the latest Gemini models to Apple developers
Nicholas McNamara · 2026-06-09 · via Developer tools

Apple developers are getting seamless access to Gemini models to build dynamic experiences and smarter apps, faster. Additionally, Gemini in Xcode helps you accelerate multi-step coding tasks without switching windows.

Thevi-hs-small-400

Thevi Sundaralingam

Group Product Manager

Bullet points

  • "Bringing the latest Gemini models to Apple developers" helps you build smarter apps faster.
  • You can now call Gemini models directly through Apple's native Foundation Models framework.
  • Firebase AI Logic lets you add Gemini to your apps without managing backend servers.
  • Gemini is now integrated into Xcode to help you write and fix code easily.
  • Choose between self-serve keys or enterprise options to fit your specific development needs.

Summaries were generated by Google AI. Generative AI is experimental.

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[[duration]] minutes

Updated June 9, 2026

Apple’s Worldwide Developers Conference (WWDC) kicked off this week, and we’re excited to share that Apple developers can now securely call cloud-hosted Gemini models using the Foundation Models framework, and access Gemini in Xcode. This announcement gives Apple developers seamless access to Gemini models to deliver dynamic experiences for their end users and increase their own development velocity.

Call Gemini models directly from the Foundation Models framework

At WWDC, Apple announced that it's opening its Foundation Models framework to third-party cloud model providers. Starting with iOS 27, macOS 27, iPadOS 27, visionOS 27 and watchOS 27, model providers can implement the new public LanguageModel protocol to provide a common interface for model inference. We've made Gemini models available to the Foundation Models framework through the Firebase Apple SDK.

This provides a fully native development experience — cloud-hosted Gemini models can plug directly into the Foundation Models framework using the same API. That means the on-device Apple model and cloud-hosted Gemini models sit behind a shared API surface, so you can easily swap between local and cloud inference to fit your use case. This flexibility is crucial for enabling optimal agentic app experiences while minimizing costs and reducing latency.

This integration leverages Firebase, Google Cloud's client apps development platform. It's based on Firebase AI Logic, a production-grade service that lets you integrate the latest Gemini models directly into your iOS, macOS, iPadOS and visionOS apps without needing to build and maintain a separate backend server. Plus, by using Firebase App Check, your service APIs, like those used to access Gemini models, are protected from abuse.

If you're already using Apple's Foundation Models framework, switching to Gemini models is a small code change: swap the model instance.

This integration is now available as a preview release. To get started, check out the Firebase documentation.

Use agentic workflows natively in Xcode

We worked with Apple to integrate Gemini into Xcode so you can perform complex, multi-step tasks during development without switching tools or windows.

To get started, onboard through the Intelligence settings panel in Xcode. Once configured, Gemini provides an agentic experience, helping you review code, fix bugs and build new features faster.

UI of Gemini in Xcode

Authenticate your workspace

To support both individual and enterprise developer workflows, you can configure authentication based on your use case:

  • Individual developers: Obtain a self-serve Gemini API key directly from Google AI Studio, which features both a free tier for getting started and a paid tier for more advanced models and higher volumes.
  • Enterprise developers: Use Gemini Enterprise Agent Platform to obtain an API key, which enables development teams to leverage their organization’s guaranteed dedicated corporate quotas and data privacy parameters.

Get started with Gemini models on Apple platforms

With seamless integration across Apple's Foundation Models framework and Xcode, you can effortlessly build, secure and scale next-generation, agentic AI experiences using Gemini models. We can’t wait to see what you build.

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