Google AI Studio Playground provides a visual interface to prototype and learn how to build managed agents without having to create and write API calls. Managed agents run within a secure, ephemeral ...

Prompt design is the process of creating prompts, or natural language requests, that elicit accurate, high quality responses from a language model. This page introduces basic concepts, strategies, and ...

Building for extended reality (XR) has traditionally meant wiring together heavy 3D game engines, low-level perception pipelines, and device-specific SDKs before you can even test a simple hand-pinch ...

Gemini 4 Argon is our latest frontier model, built to take your most ambitious ideas from start to finish. Whether you are vibe-coding your first web app, turning a photo of your desk into a playable ...

Gemini 4 Argon is our newest frontier model, built to take your most complex tasks from start to finish and turn ambitious ideas into real projects you can use. With major improvements in visual ...

Environments are managed Linux sandboxes that give agents an isolated place to execute code and persist files. They are decoupled from interaction context, so you can reuse the same environment across ...

The Gemini API converts speech in audio files into text using the Gemini 3.5 Transcribe model (gemini-3.5-transcribe). Based on Gemini's audio understanding capabilities, it delivers accurate ...

Google's Trust and Safety Team employs a combination of automated and manual processes to detect potential misuse of the Gemini API and Google AI Studio in order to enforce our policies. Automated ...

Gemini and other generative AI models process input and output at a granularity called a token. For Gemini models, a token is equivalent to about 4 characters. 100 tokens is equal to about 60-80 ...

The Gemini Live API enables real-time, bidirectional voice conversations with Gemini models. Standard voice models work well for immediate back-and-forth dialogue. You speak to the model, and it ...

This guide covers best practices you can follow to optimize your use of the Live API. See Get started with Live API page for an overview and sample code for common use cases. To get the best ...

Many Gemini models come with large context windows of 1 million or more tokens. Historically, large language models (LLMs) were significantly limited by the amount of text (or tokens) that could be ...