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Google AI Studio

Build with the Gemini API

Monthly visits
110.4M
Pricing
Freemium
Free, Paid, Enterprise
Added
May 23 2025

About Google AI Studio

Google AI Studio provides access to the Gemini API and related services for developers, teams, and enterprises. Google AI Studio is positioned as a platform to build with Gemini models including text, image, audio, and video capabilities. Google AI Studio is presented for developers building projects from experimental personal apps to production deployments that require higher volume and features.

Google AI Studio operates by exposing the Gemini Developer API, Interactions API, SDKs, and managed agent capabilities. Google AI Studio offers API keys and a console to manage keys and monitor usage. Google AI Studio also describes SDKs for multiple languages and an Interactions API to manage conversation state, messages, streaming, and tool execution.

Google AI Studio highlights model capabilities across modalities and tasks: high-quality image generation with Nano Banana, video generation and editing with Gemini Omni, live low-latency voice and video with Live models, text-to-speech with Gemini TTS, and managed agents that can plan, run code, and call tools. Google AI Studio documents context caching, batch APIs, grounding with Search and Maps, and long-context models.

Google AI Studio publishes tiered access and limits: a Free tier for developers and small projects, Paid tier for production with higher rate limits and access to advanced models, and an Enterprise offering with dedicated support, security, and provisioned throughput. Google AI Studio provides official SDKs for Python, JavaScript, Go, Java, and C++ and web-based access via the AI Studio console.

Use cases

  • Conversational language learning application
  • Background removal image tool
  • Real-time multiplayer game built with models
  • Generate photorealistic window views
  • Virtual metropolis management game

Key features

  • API key management and usage monitoring
  • Official SDKs for multiple languages
  • Interactions API for stateful, multi-turn agents
  • Extensible tools and grounding (Search and Maps)
  • Image, video, audio, and text model families
  • Managed agents that can plan and run code
  • Context caching and batch API for efficiency
  • Web-based model testing and app gallery

Pros and cons

Pros

Higher rate limits and context caching on Paid tier
Official SDKs across several languages
Managed agents with tool execution and sandboxed environments

Cons

Free tier has limited access to certain models
Some flagship models are not available on Free tier

Pricing

Free
Free
  • Limited access to certain models
  • Free input & output tokens
  • Google AI Studio access
  • Content used to improve our products*
Paid
Upgrade to Paid
  • Higher rate limits for production deployments
  • Access to Context caching
  • Batch API (50% cost reduction)
  • Access to Google's most advanced models
  • Content not used to improve our products*
Enterprise
Contact Sales
  • All features in Paid, plus optional access to dedicated support channels
  • Advanced security & compliance
  • Provisioned throughput
  • Volume-based discounts

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Frequently asked questions

How do I get started with the API?
Create or obtain an API key in Google AI Studio to begin using the Gemini Developer API.
Which API should I use for new projects?
Use the Interactions API; it is the default interface and recommended for new projects.

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