Google AI Studio

Google AI Studio is a browser-based workspace for experimenting with Gemini and building applications through the Gemini API. Developers can use prompt and model workflows, multimodal inputs, structured output, function calling, tools, agents, and background execution; Build mode can turn a natural-language request into an app, configure the API key as a server-side secret, and deploy or sync projects. AI Studio access is free in available regions, while Gemini API usage has free and paid tiers with model- and token-dependent pricing.

✨ Key Features

• Prototype with Gemini models — Experiment with prompts and available Gemini models in a browser workspace.
• Work with multimodal input — Test text, image, video, audio, and document understanding where supported.
• Generate application code — Use Build mode to describe an app and have AI Studio create a working starting point.
• Use structured output — Design responses that follow a predictable schema for application code.
• Call functions and tools — Connect model responses to application functions and supported tools.
• Build agent workflows — Explore agents and background execution through the Gemini API.
• Manage API keys and projects — Create keys, connect Google Cloud projects, and view usage in the dashboard.
• Protect application secrets — Build mode keeps the Gemini API key in a server-side secret rather than client code.
• Deploy prototypes — Deploy apps to Cloud Run or sync code with GitHub; connected cloud usage may be billed separately.
• Explore prompt examples — Use the prompt gallery to learn from working Gemini use cases.
• Scale with API billing — Move from free limits to prepaid/pay-as-you-go production access when needed.

💳 Pricing

• Google AI Studio access — Free of charge in available regions.
• Gemini API Free tier — Free input and output tokens for supported models, limited model access, and free AI Studio access; content may be used to improve products under the applicable terms.
• Gemini API Paid tier — Prepaid/pay-as-you-go, with higher rate limits, context caching, Batch API, and access to advanced models. Token prices vary by model, modality, and processing tier.
• Enterprise — Custom terms through Gemini Enterprise Agent Platform, with optional dedicated support, advanced security/compliance, provisioned throughput, and volume discounts.

The official pricing page is a model-by-model rate card rather than a fixed app subscription table. Check the live Gemini API pricing and billing pages for current token rates, free quotas, grounding fees, and regional terms.

⚖️ Alternatives Compared

🎯 Use Cases

• Testing a Gemini prompt before integrating it into an application.
• Prototyping an app from a natural-language product description.
• Evaluating multimodal understanding with documents or media.
• Designing structured JSON responses for a backend workflow.
• Connecting Gemini to application functions or external tools.
• Exploring agent and background-execution patterns.
• Creating an API key and monitoring development usage.
• Deploying a generated prototype to Cloud Run.
• Syncing generated code to GitHub for collaboration.
• Moving a successful prototype from free limits to paid production capacity.