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What is Gemini Computer Use?

Gemini Computer Use is a built-in tool in Gemini 3.5 Flash that enables AI agents to interact with digital environments across browsers, mobile devices, and desktop applications. The capability allows agents to observe interfaces, reason through what needs to happen, and take actions across platforms. Google previously offered computer use as a standalone Gemini 2.5 computer use model, but the feature is now integrated natively into Gemini 3.5 Flash. This integration gives developers and enterprises a more unified way to build agents that combine computer use with Gemini’s existing strengths in function calling and built-in tools such as Search and Maps grounding. Gemini Computer Use is designed for agentic automation scenarios where workflows require multiple steps, interface navigation, decision-making, and reliable execution. Example use cases include continuous software testing, enterprise automation, knowledge work across professional applications, and custom agents that operate in browser-based workflows. Developers can access the capability through the Gemini API and Gemini Enterprise Agent Platform. Google also provides a Browserbase-hosted demo environment for testing computer use behavior before building production workflows. Safety measures include targeted adversarial training to reduce prompt injection risk and optional enterprise safeguards for requiring user confirmation before sensitive actions. The system can also automatically stop tasks when indirect prompt injection is detected, and Google recommends combining these protections with sandboxing, human-in-the-loop verification, and strict access controls. Gemini Computer Use helps developers and enterprises build more capable, safer, and more practical agents that can automate real work across modern digital tools.

What is Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is distinguished as the fastest model in Google's Gemini 3.5 series, designed specifically for low-latency tasks and enhancing developer workflows that require high throughput, such as agentic search, document processing, coding, and comprehensive data analysis. It features an impressive output rate of 350 tokens per second and represents a substantial upgrade from previous Flash-Lite versions in both quality and agentic functionalities. Developers can tailor the model's cognitive level based on the task requirements: minimal or low thinking is ideal for quick processing of large datasets, while higher thinking levels are suited for more complex, multi-step workflows that involve subagents. Additionally, the model comes with integrated computational abilities, allowing it to function seamlessly in various digital environments across supported platforms. Gemini 3.5 Flash-Lite also shines in coding tasks, managing lengthy contexts, and carrying out real-world applications, consistently surpassing the performance of its predecessor, Gemini 3.1 Flash-Lite, in crucial evaluations and even outdoing Gemini 3 Flash in numerous benchmarks related to agentic capabilities and software development. This remarkable performance demonstrates its potential to revolutionize the way developers tackle intricate workflows and handle data-heavy tasks, making it a game-changer in the field. As developers continue to explore its capabilities, they are likely to uncover new applications that further enhance their productivity.

Media

Media

Integrations Supported

Gemini
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini 3.6 Flash
Gemini 3.7 Flash
Gemini 3.8 Flash
Gemini 3.8 Flash Cyber
Gemini 4 Argon
Gemini 4 Carbon
Gemini 4 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio

Integrations Supported

Gemini
Gemini 3.5 Flash
Gemini 3.5 Flash Cyber
Gemini 3.6 Flash
Gemini 3.7 Flash
Gemini 3.8 Flash
Gemini 3.8 Flash Cyber
Gemini 4 Argon
Gemini 4 Carbon
Gemini 4 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
.NET
Bash
Gemini Enterprise Agent Platform Notebooks
JavaScript
JetBrains Junie
PHP
YAML

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

Browser Automation

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Vision Models

Not specified

Large Language Models

Not specified

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