Name: Google AI Studio
Brand: Google

Description

Google AI Studio is a web-based integrated development environment (IDE) developed by Google for prototyping applications using generative AI models. It launched on December 13, 2023, alongside the public release of the Gemini API and replaced Google MakerSuite.

The platform provides access to the Gemini model family, Imagen models for image generation, Veo for video generation, LearnLM, and the open Gemma model family. It supports multimodal inputs (text, image, video, audio, documents) and offers system instructions, prompt chat, structured output, function calling, code execution in a sandboxed Python environment, grounding with Google Search, URL context and live streaming.

Access is free under a rate-limited tier; enabling Google Cloud Billing switches the project to a paid mode in which user data is not used for model training. The service requires users to be at least 18 years old and is available in selected regions.

Applications

10

Architecture & Mechanisms

8

Developer Ecosystem

SDK Languages

PyPythonJSJavaScriptTSTypeScriptGoGo

API Type

REST

Community & resources

Templates library

Quickstarts

API Reference

Tutorials

Organization Relations

Pricing & Business Model

See full pricing

Pricing models

Usage-based

Token-based

Tiered subscription

Supported AI Models

7

Description

ApplicationsiAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.

Architecture & MechanismsiArchitecture & MechanismsArchitectural foundations and modern AI processing methods that are natively supported or used by this platform.

Developer EcosystemiDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.

Organization RelationsiOrganization RelationsMap of key business and technology relationships with other organizations, including distributors, investors and research labs.

Pricing & Business ModeliPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).