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Gemini 2.5 Computer Use (Experimental)

by Google DeepMind

AI Application
Low Confidence

Gemini 2.5 Computer Use is an advanced experimental feature of Google's Gemini AI model series, specifically designed to interact with and control computer interfaces. It enables users to delegate tasks such as navigating software, analyzing data, automating workflows, and performing actions on a user's computer (e.g., clicking buttons, filling forms, or extracting information). This capability is built on top of Gemini 2.5, Google DeepMind's multimodal AI model, and integrates screen understanding, keyboard/mouse emulation, and contextual reasoning to execute tasks autonomously or semi-autonomously. As of its experimental phase, it is primarily accessible to select developers and testers via Google's AI Studio or Vertex AI platforms. Model card: https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Computer-Use-Model-Card.pdf

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Transparency Score

Weighted across four pillars · updated January 25, 2026

Overall grade
85% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Autonomous Task Execution
Screen Understanding
Keyboard And Mouse Emulation
Data Analysis
Workflow Automation
Software Navigation
Contextual Reasoning
Multimodal Interaction

Vendor Information

Complete information about the vendor/provider of this AI application

Google DeepMindView all products →
DeepMind Technologies Limited(Trading as: Google DeepMind)
Contact Information
deepmind.google/
+44 2031220058
Registered Address
5 New Street Square, London, Greater London, EC4A 3TW, UK

EU AI Act Provider Information

Verification Status:
Verified
DeepMind Technologies Limited(Trading as: Google DeepMind)
5 New Street Square, London, Greater London, EC4A 3TW, UK
+44 2031220058
DeepMind Technologies Limited
5 New Street Square, London, UK
Compliance Documents
CE Marking: Not Applicable
Available in EU Member States
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Gemini 3 Pro was developed in partnership with internal safety, security, and responsibility teams. A range of evaluations and red teaming activities were conducted to help improve the model and inform decision-making. These evaluations and activities align with Google's AI Principles and responsible AI approach, as well as Google's Generative AI policies (e.g. Gen AI Prohibited Use Policy and the Gemini API Additional Terms of Service). Evaluation types included but were not limited to: ● Training/Development Evaluations including automated and human evaluations carried out continuously throughout and after the model’s training, to monitor its progress and performance; ● Human Red Teaming conducted by specialist teams who sit outside of the model development team, across the policies and desiderata, deliberately trying to spot weaknesses and ensure the model adheres to safety policies and desired outcomes; ● Automated Red Teaming to dynamically evaluate Gemini for safety and security considerations at scale, complementing human red teaming and static evaluations; ● Ethics & Safety Reviews were conducted ahead of the model’s release In addition, we perform testing following the guidelines in Google DeepMind’s Frontier Safety Framework (FSF).
Gemini 3 Pro may exhibit some of the general limitations of foundation models, such as hallucinations. There may also be occasional slowness or timeout issues. The knowledge cutoff date for Gemini 3 Pro was January 2025.

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Compliance & Risk

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Added: January 22, 2026
Updated: January 25, 2026

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