Google AI Studio
Overview
Google AI Studio is a browser-based workspace for building with the Gemini API. It enables developers to rapidly prototype prompts, leverage models like Gemini 1.5 Pro with its 1M token context window, and work with multimodal inputs (text, images, audio, video). The studio provides official SDKs for Python, Go, Node.js, and Java, allowing for a seamless transition from experimentation to production. While the studio itself is free, API usage is billed on a pay-as-you-go basis.
Use Cases
Multimodal Prototyping
Design and test prompts using a combination of text, images, audio, and video inputs with models like Gemini 1.5 Pro.
Large Context Analysis
Leverage the 1 million token context window to analyze large documents, codebases, or hours of video directly in the prompt.
SDK Integration
Generate and export production-ready code snippets for multiple languages to quickly integrate the Gemini API into applications.
API Management & Evaluation
Manage API keys and evaluate model performance and costs before deploying to production.
Pricing
Individual Plans
Includes:
- Web-based IDE for prompt design
- Access to the latest Gemini models
- SDK code generation
Includes:
- Rate limits for development and small projects
- Free access to specific models
- Includes a generous amount of free input and output tokens
Includes:
- Higher rate limits for production applications
- Access to context caching and batch API processing
- Use of Google's most advanced AI models
Includes:
- All features of the paid version, plus optional access controls
- Dedicated support channels and pre-allocated throughput
- Custom pricing and discounts based on usage
- Support for MLOps, Model Garden, and other enterprise features via Vertex AI
Core Features
Standard Features
Advanced Features
1M Token Context Window
Process and reason over large amounts of information, including entire codebases or long videos.
Multimodal Reasoning
Build prompts that natively handle text, images, audio, and video for complex tasks.
Tunable Parameters
Adjust model settings like temperature and top-K to control creativity and randomness in responses.
AI Models Support
API Integration
Google Gemini API
System Requirements
Supported Platforms
Web
API Support
Gemini API, REST API
Compatibility
Exports code for Python, Go, Node.js, and Java. Integrates with Google Cloud services.
Similar Products
Loading similar products...