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Gemini 2.5 Pro

par Google DeepMind

AI Model
Faible confiance

Gemini 2.5 Pro is a advanced multimodal large language model (LLM) developed by Google DeepMind. It is designed to handle complex reasoning, coding, and multimodal tasks, including text, code, images, and audio. Gemini 2.5 Pro is part of Google's Gemini family of models, which are optimized for performance, efficiency, and scalability. It is intended for enterprise and developer use cases, offering high accuracy in tasks such as code generation, natural language understanding, and multimodal content analysis. The model is accessible via Google Cloud's Vertex AI platform and other Google services. Model card: https://modelcards.withgoogle.com/assets/documents/gemini-2.5-pro.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

Text Generation
Code Generation
Image Analysis
Audio Processing
Translation
Summarization
Conversation
Multimodal Reasoning

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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