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Gemini 2.5 Computer Use (Experimental)

par Google DeepMind

AI Application
Faible confiance

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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Score de transparence

Pondéré sur quatre piliers · mis à jour le January 25, 2026

Note globale
85% pondéré
ABCDF
Modèle
—
Pas encore évalué
Infrastructure
—
Pas encore évalué

Capacités

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

Informations sur le fournisseur

Informations complètes sur le fournisseur/prestataire de cette application IA

Google DeepMindVoir tous les produits →
DeepMind Technologies Limited(Exerçant sous le nom : Google DeepMind)
Informations de contact
deepmind.google/
+44 2031220058
Adresse enregistrée
5 New Street Square, London, Greater London, EC4A 3TW, UK

Informations fournisseur (Règlement IA de l’UE)

Statut de vérification:
Verified
DeepMind Technologies Limited(Exerçant sous le nom : Google DeepMind)
5 New Street Square, London, Greater London, EC4A 3TW, UK
+44 2031220058
DeepMind Technologies Limited
5 New Street Square, London, UK
Documents de conformité
Marquage CE: Not Applicable
Disponible dans les États membres de l’UE
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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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Ajouté : January 22, 2026
Mis à jour : January 25, 2026

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