谷歌在 Gemini 3.5 Flash 中引入计算机使用能力，使模型能直接操控桌面应用和浏览器，拓展了多模态交互边界

Google DeepMind Blog2026/06/25 00:30本周精选

谷歌在 Gemini 3.5 Flash 中引入计算机使用能力，使模型能直接操控桌面应用和浏览器，拓展了多模态交互边界

AI 摘要

谷歌在 Gemini 3.5 Flash 模型中引入了计算机使用能力，使模型能够直接操控桌面应用和浏览器。这一功能拓展了多模态交互的边界，允许开发者构建能够像人类一样操作界面的智能体应用。对开发者而言，这意味着可以基于该能力开发自动化工作流、测试脚本或辅助工具，但需注意模型在复杂界面中的稳定性和安全性。核心观点： 1. Gemini 3.5 Flash 新增计算机使用能力，可直接操控桌面应用和浏览器。 2. 该能力拓展了多模态交互边界，支持开发者构建自动化界面操作智能体。

推荐理由重磅首发或硬核洞察

原文

Jun 24, 2026

Computer use is now a built-in tool in Gemini 3.5 Flash to build agents that can interact across platforms.

Mateo Quiros

Product Manager, Google DeepMind

Your browser does not support the audio element.

Listen to article This content is generated by Google AI. Generative AI is experimental

[[duration]] minutes

Computer use is now a built-in tool supported in Gemini 3.5 Flash, delivering our best performance yet for agentic computer use tasks. Previously only available as a standalone Gemini 2.5 computer use model, computer use is now integrated natively in the main Gemini Flash model. Gemini already excels at function calling and using built-in tools like Search and Maps grounding. With built-in computer use capability, developers can now use 3.5 Flash to reliably build custom agents that can see, reason and take action across browser, mobile and desktop environments. This unlocks improved performance for long-horizon and enterprise automation tasks like continuous software testing and knowledge work across professional applications.

Developers and enterprises can start using computer use in 3.5 Flash via the Gemini API and Gemini Enterprise Agent Platform.

3.5 Flash uses computer use to analyse the Gemini app and return a categorized list of features.

3.5 Flash with computer use audits its own documentation for accessibility issues.

Making computer use safe in 3.5 Flash

To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use in Gemini 3.5 Flash. We’re also releasing two optional enterprise safeguard systems that enable enterprises to:

Require explicit user confirmation for sensitive or irreversible actions.
Automatically stop tasks if an indirect prompt injection is identified.

Taking a “defense-in-depth” approach, we encourage developers to combine these features with secure sandboxing, human-in-the-loop verification and strict access controls. Additional information on safety measures can be found in our best practices documentation.

We are already seeing customers drive value with computer use. Here’s what some of them have to say:

To start building with computer use today:

Try it now: Test the capabilities in a demo environment hosted by Browserbase.
Start building: Dive into our reference implementation and documentation via Gemini API and Gemini Enterprise Agent Platform.

Done. Just one step more.

Check your inbox to confirm your subscription.

You are already subscribed to our newsletter.

You can also subscribe with a

AIWatch.