Gemini API
Google Cloud's Gemini API provides access to advanced generative AI models for text, code, and multimodal tasks. · Google Cloud · AI
Overview
Gemini API provides developers with access to Google's generative AI models for building applications that require text, code, or multimodal understanding. The free tier gives free input/output tokens on supported models, though exact rate limits are not published and vary by usage tier. Integration is straightforward via REST or SDK, and the service is ideal for teams looking to quickly add AI capabilities without managing infrastructure.
Good fit
Use Gemini API when you need scalable, managed access to Google's latest generative AI models for text or multimodal tasks.
- prototyping
- AI-powered apps
- multimodal projects
Not a fit
Avoid if you require on-premise deployment, strict data residency, or need unlimited free usage for high-volume workloads.
- self-hosting required
- strict data locality
- large-scale free usage
Quickstart · 5 steps
- Sign in to Google Cloud and enable the Gemini API in your project.
- Create or select a service account with appropriate permissions.
- Obtain an API key or set up OAuth credentials.
- Install the Google AI SDK or use the REST API.
- Make your first API call using sample code from the documentation.