Mistral AI's products can produce inaccurate results, and the terms state that outputs should not be used as a substitute for professional advice or as the only source of information for important decisions.
This analysis describes what Mistral AI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This disclaimer is directly relevant to liability allocation: by placing the obligation to verify output accuracy on the Customer, the terms support Mistral AI's position that it is not responsible for harm arising from reliance on inaccurate outputs, particularly in high-stakes domains like legal, medical, or financial advice.
The updated terms redefine when Mistral AI will use customer data and outputs for AI model training. Previously, the terms distinguished between free tiers (where training was opt-out) and Labs Models (where training always occurred). The revised language consolidates experimental models as 'Labs or Preview Models' and explicitly states that training opt-out preferences applied to other products do not carry over to these experimental models. Additionally, the terms now specify that customer data includes 'access to data' and 'coding environment,' expanding what qualifies as trainable material. The liability cap was narrowed to remove the carve-out protecting confidentiality breach claims, meaning liability limits apply more broadly. You can review which Mistral products are set to opt-in versus opt-out by default and avoid Labs or Preview Models if you do not want your data used for training.
View change record →Commercial customers deploying Mistral AI products in professional or high-stakes contexts are responsible for verifying the accuracy of AI outputs before relying on them or sharing them with third parties, as the terms disclaim AI output reliability and shift verification responsibility to the Customer.
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TINDER ASSUMES NO RESPONSIBILITY FOR ANY CONTENT THAT YOU OR ANOTHER USER OR THIRD PARTY POSTS, SENDS, RECEIVES, AND/OR ACTS ON THROUGH OUR SERVICES, NOR DOES TINDER ASSUME ANY RESPONSIBILITY FOR THE IDENTITY, INTENTIONS...
Please note that these third parties are responsible for their own privacy practices.
"Mistral AI Products are based on large language models (LLMs), a probabilistic technology that is continually evolving. For this reason, Outputs may occasionally be inaccurate. Mistral AI Products are not authoritative or infallible sources of information. Customer should not rely on Output generated by Mistral AI Products as the sole source of truth or as a substitute for professional advice (e.g., legal, tax, or medical). Use the Mistral AI Products with caution: always verify the reliability, accuracy, and completeness of the Output before relying on it for any purpose or otherwise making it available to third parties.Excerpt from Mistral AI's Commercial Terms
(1) REGULATORY LANDSCAPE: This disclaimer engages the EU AI Act's requirements for high-risk AI systems, which mandate human oversight, accuracy verification, and transparency about AI-generated content limitations.
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This disclaimer is directly relevant to liability allocation: by placing the obligation to verify output accuracy on the Customer, the terms support Mistral AI's position that it is not responsible for harm arising from reliance on inaccurate outputs, particularly in high-stakes domains like legal, medical, or financial advice.
Commercial customers deploying Mistral AI products in professional or high-stakes contexts are responsible for verifying the accuracy of AI outputs before relying on them or sharing them with third parties, as the terms disclaim AI output reliability and shift verification responsibility to the Customer.
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