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DeepSeek-V3.1

by DeepSeek

AI Model
Low Confidence

DeepSeek-V3.1 is a large-scale, advanced language model developed by DeepSeek AI. It is designed to understand and generate human-like text, perform complex reasoning, and assist with a variety of tasks such as coding, translation, summarization, and conversational interactions. The model is part of the DeepSeek series, which emphasizes high performance, efficiency, and scalability. DeepSeek-V3.1 is positioned as a competitor to other leading language models, offering capabilities for both research and commercial applications.

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Transparency Score

Weighted across four pillars · updated January 25, 2026

Overall grade
40% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Text Generation
Code Generation
Translation
Summarization
Conversation
Reasoning

Vendor Information

Complete information about the vendor/provider of this AI application

DeepSeekView all products →
Hangzhou DeepSeek Artificial Intelligence Co., Ltd.(Trading as: DeepSeek)
Contact Information
www.deepseek.com/
privacy@deepseek.com
Registered Address
5th Floor, North Building, Block C, Rongke Information Center, No. 2 South, Science Academy Road, Haidian District, Beijing, CN

EU AI Act Provider Information

Verification Status:
Unverified
Hangzhou DeepSeek Artificial Intelligence Co., Ltd.(Trading as: DeepSeek)
5th Floor, North Building, Block C, Rongke Information Center, No. 2 South, Science Academy Road, Haidian District, Beijing, CN
privacy@deepseek.com
Prighter EU Rep GmbH
Schellinggasse 3/10, Vienna, AT
Compliance Documents
CE Marking: Not Applicable
Available in EU Member States
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Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

Get insights into risk by running assessments on this AI application.

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

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