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features
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Description

Gemini Computer Use is an agentic computer interaction capability built into Gemini 3.5 Flash. It enables developers and enterprises to create AI agents that can work across browser, desktop, and mobile environments by seeing interfaces, reasoning through tasks, and taking action. The capability was previously offered through a standalone Gemini 2.5 computer use model, but is now natively integrated into Gemini 3.5 Flash. This gives developers access to stronger performance for agentic computer use tasks while also combining with Gemini’s existing strengths in function calling, Search grounding, Maps grounding, and built-in tools. Gemini Computer Use is designed for long-horizon automation, continuous software testing, enterprise knowledge work, and workflows that span multiple professional applications. Developers can start building with the feature through the Gemini API or Gemini Enterprise Agent Platform. Google also provides a demo environment through Browserbase for testing the capability. Safety controls include targeted adversarial training for live-environment risks, optional explicit user confirmation for sensitive or irreversible actions, and automatic task stopping when indirect prompt injection is identified. Gemini Computer Use helps organizations build practical AI agents that can complete complex digital tasks while supporting sandboxing, human review, and strict access controls.

Description

Gemini Deep Research represents Google's innovative autonomous research agent, engineered to strategically plan, execute, and synthesize intricate, multi-step research endeavors utilizing both online resources and private data repositories, ultimately resulting in high-quality, organized outputs. Leveraging advanced Gemini models like Gemini 3.1 Pro, it establishes a system where the AI dissects a user's query into manageable sub-tasks, scours various sources for information, assesses relevance, and refines results through iterative processes prior to delivering a thorough, well-cited report. This tool is touted as a significant advancement in long-term research methodologies, facilitating independent exploration of not only public web content but also tailored enterprise data, all the while ensuring context and coherence throughout extensive reasoning sequences. Moreover, it features enhancements such as MCP (Model Context Protocol) integration, built-in visualizations, and a notable upgrade in analytical capabilities, empowering users to extract valuable insights effectively. Such innovations ensure that research workflows are not just more efficient but also yield results that are both comprehensive and actionable.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemini
Gemini 3.1 Pro
Gemini 3.5 Flash
Gemini 3.5 Pro
Gemini Deep Research
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Model Context Protocol (MCP)

Integrations

Gemini
Gemini 3.1 Pro
Gemini 3.5 Flash
Gemini 3.5 Pro
Gemini Deep Research
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Model Context Protocol (MCP)

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

blog.google/innovation-and-ai/models-and-research/gemini-models/next-generation-gemini-deep-research/

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