This cookbook provides a structured learning path for using the Gemini API, focusing on hands-on tutorials and practical examples.
For comprehensive API documentation, visit ai.google.dev.
Gemini 3 Pro: For the latest on our new model, please check the Get Started
and the thinking
🍌 Nano-Banana Pro: Go bananas with our new flagship image generation model with thinking and search grounding and 4K image generation. Get started here
This cookbook is organized into two main categories:
- Quick Starts: Step-by-step guides covering both introductory topics ("Get Started
- Examples: Practical use cases demonstrating how to combine multiple features.
We also showcase Demos in separate repositories, illustrating end-to-end applications of the Gemini API.
Here are the recent additions and updates to the Gemini API and the Cookbook:
- 🍌 Nano-banana Pro: Use Gemini's native image generation
- File Search: Discover how to ground generations in your own data in a hosted RAG system with the File Search quickstart
- Grounding with Google Maps: Get started using factual geographical data from 📍 Google Maps in your apps! See the Google Maps section of the Grounding Guide
- Veo 3.1: Get started with our video generation model with this Veo guide, including image-to-videos and video extension!
- Gemini Robotics-ER 1.5: Learn about this new Gemini model specifically for spatial understanding and reasoning for robotics applications.
- Lyria and TTS: Get started with podcast and music generation with the TTS
- LiveAPI: Get started with the multimodal Live API
- Recently Added Guides:
- Grounding
- Batch API
- Logs and datasets
- Grounding
The quickstarts section contains step-by-step tutorials to get you started with Gemini and learn about its specific features.
To begin, you'll need:
- A Google account.
- An API key (create one in Google AI Studio).
We recommend starting with the following:
- Authentication
- Get started
Then, explore the other quickstarts tutorials to learn about individual features:
- Get started with Live API
- Get started with Veo
- Get started with Imagen
- Grounding
- Code execution
- And many more
These examples demonstrate how to combine multiple Gemini API features or 3rd-party tools to build more complex applications.
- Browser as a tool
- Illustrate a book
- Animated Story Generation
- Plotting and mapping Live
- 3D Spatial understanding
- Gradio and live API: Use gradio to deploy your own instance of the Live API
- And many many more
These fully functional, end-to-end applications showcase the power of Gemini in real-world scenarios.
- Gemini CLI: Open-source AI agent that brings the power of Gemini directly into your terminal
- Gemini API quickstart: Python Flask App running with the Google AI Gemini API, designed to get you started building with Gemini's multi-modal capabilities
- Multimodal Live API Web Console: React-based starter app for using the Multimodal Live API over a websocket
- Fullstack Langgraph Quickstart: A fullstack application using a React frontend and a LangGraph-powered backend agent
- Google AI Studio Starter Applets: A collection of small apps that demonstrate how Gemini can be used to create interactive experiences
The Gemini API is a REST API. You can call it directly using tools like curl (see REST examples or the great Postman workspace), or use one of our official SDKs:
Ask a question on the Google AI Developer Forum.
For enterprise developers, the Gemini API is also available on Google Cloud Vertex AI. See this repo for examples.
Contributions are welcome! See CONTRIBUTING.md for details.
Thank you for developing with the Gemini API! We're excited to see what you create.
