Google has announced that computer use is now a built-in tool in Gemini 3.5 Flash, enabling developers to build AI agents that can interact across platforms, including browser, desktop, and mobile environments. Previously available only as a standalone Gemini 2.5 computer use model, the capability is now integrated directly into Gemini 3.5 Flash.
According to Mateo Quiros, Product Manager at Google DeepMind, the integration delivers Google’s best performance yet for agentic computer use tasks.
Gemini 3.5 Flash gets native computer use
Gemini already supports function calling and built-in tools such as Search and Maps grounding. With computer use now built into the main Gemini Flash model, developers can use Gemini 3.5 Flash to reliably build custom agents that can see, reason, and take action across browser, mobile, and desktop environments.
Google said the capability improves performance for long-horizon and enterprise automation tasks, including continuous software testing and knowledge work across professional applications.
Safety measures for computer use
To help mitigate prompt injection risks for agents operating in live environments, Google uses targeted adversarial training for computer use in Gemini 3.5 Flash.
The company is also introducing two optional enterprise safeguard systems that allow organizations to:
- Require explicit user confirmation before sensitive or irreversible actions.
- Automatically stop tasks if an indirect prompt injection attempt is detected.
Google said enterprises should take a defense-in-depth approach by combining these safeguards with secure sandboxing, human-in-the-loop verification, and strict access controls. Additional information about safety measures is available through the company’s best-practices documentation.
Availability
Developers and enterprises can start using computer use in Gemini 3.5 Flash through the Gemini API and Gemini Enterprise Agent Platform.
Google is also providing a Browserbase-hosted demo environment for testing the capability. Developers can additionally access reference implementations and documentation to begin building computer-use agents.