8 Total
2 High severity
4 Medium severity
2 Low severity
Summary

This is DeepSeek's license for their R1 AI model, which governs what individuals and businesses can and cannot do with the model. The license permits research and commercial use, but prohibits using the model's outputs to train competing AI models, and requires businesses with more than 100 million monthly active users to get separate written permission from DeepSeek before using it commercially. If you are deploying this model in a product or service, you should check whether your user base exceeds the 100 million MAU threshold and review the anti-distillation clause if you operate or plan to operate other AI models.

Technical / Legal Breakdown

This document is the DeepSeek Model License governing use of the DeepSeek-R1 model weights and associated materials, published by DeepSeek under a permissive but conditional framework. The agreement states that use is permitted for research and commercial purposes subject to restrictions, including a prohibition on using the model outputs to train competing foundation models, and a requirement to include the DeepSeek Model License and copyright notices in all redistribution. The terms authorize commercial use for entities with fewer than 100 million monthly active users without prior written consent from DeepSeek, while entities exceeding that threshold must obtain a separate commercial license, creating a tiered access structure that is operationally distinct from standard open-source model licenses. The license engages considerations under intellectual property law, trade secret protections, and potentially export control frameworks depending on the jurisdiction of the deploying entity. Material compliance considerations include the anti-distillation clause (prohibiting use of model outputs to train competing models), the MAU-based commercial threshold, and the absence of explicit provisions addressing GDPR, CCPA, or sector-specific data regulations that deploying organizations would need to address independently.

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High — 2 provisions
Medium — 4 provisions
Low — 2 provisions

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Mapped Governance Frameworks

California AB 2013 AI Training Data Transparency
US-CA
View official text ↗
Archival ProvenanceSource & Archival Record
Last Captured May 13, 2026 00:50 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000835
Version ID CA-V-002552
SHA-256 9652576e5ecf30b7a46a1bedd5dee1c66c7efd0cca20b6454b75d42b13b5d7d0
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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