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Gemini 2.5 Pro

by Google DeepMind

AI Model
Low Confidence

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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Transparency Score
60%
Moderate transparency
Supply Chain
20/20
Compliance
10/20
Policy
5/25
Technical
15/25
Ethical & Operational
10/10
Capabilities
Text Generation
Code Generation
Image Analysis
Audio Processing
Translation
Summarization
Conversation
Multimodal Reasoning
Vendor Information

Complete information about the vendor/provider of this AI application

Google DeepMindView all products โ†’
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:
Unverified
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: โ— Training/Development Evaluations including automated and human evaluations carried out continuously throughout and after the modelโ€™s training, to monitor its progress and performance; โ— 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; โ— Automated Red Teaming to dynamically evaluate Gemini for safety and security considerations at scale, complementing human red teaming and static evaluations; โ— Ethics & Safety Reviews were conducted ahead of the modelโ€™s release In addition, we perform testing following the guidelines in Google DeepMindโ€™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.
Supply Chain Network

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Subprocessors

Third-party vendors and subprocessors used by this vendor

Cognizant Worldwide Limited
Technical support, data labeling

Provides technical support and data labeling services to google for all AI solutions, pre-trained APIs, AI platform/Vertex AI, Generative AI services and agentic AI services

View AI productsWebsite
Policies & Documents

Legal, privacy, and compliance documentation

Legal & Terms

Generative AI prohibitive use policy
Acceptable Use Policy

Privacy & Security

Google privacy policy
Privacy Policy

Compliance

Gemini 3 Pro Model Card
Model Card

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Frotier Safety Framework v3.0
Other

The Frontier Safety Framework is a set of protocols that aims to address severe risks that may arise from the high-impact capabilities of frontier AI models. It complements Googleโ€™s suite of AI responsibility and safety practices, and enables AI innovation and deployment consistent with our AI Principles.

Compliance & Risk

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Data Categories

Types of data commonly processed by this application

Pii
User Content
Conversation Logs
Code Snippets
Images
Audio Data
Added: January 22, 2026
Updated: January 25, 2026

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