“THE MISTRAL AI PRODUCTS, DOCUMENTATION, AND CONFIGURATION RECOMMENDATIONS ARE PROVIDED 'AS IS,' WITHOUT ANY WARRANTIES, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE...”
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
The Customer cannot rely on any implied quality or suitability guarantees; if the products fail to meet the Customer's needs, Mistral AI bears no warranty liability.
Interpretive note: The disclaimer uses 'including but not limited to,' meaning the two named warranties are examples and the disclaimer is broader. The canonical claim names only the two expressly listed warranties as illustrative; the open-ended scope is noted in omitted_material.
The updated terms eliminate the prior mechanism by which customers could object to material changes and continue operating under the old terms for up to 12 months. Under the revised language, customers now have only two options when a material update is posted: accept the new terms by continuing to use the service, or stop using the service before the update becomes effective. The terms state that 'Customer's continued use of the Mistral AI Products on or after the effective date of the update constitutes Customer's acceptance of the updated Terms.' This means material changes take effect automatically unless the customer terminates service before the effective date.
View change record →The updated terms expand what Mistral AI may collect and use as 'Customer Data' to include 'access to data' and 'coding environment,' not just prompts and fine-tuning data. The company also restructured how it handles AI training: instead of carving out free tiers and specific use cases, training permissions now depend on whether each product defaults to opt-out or opt-in. Critically, data retention and training opt-out preferences selected for other Mistral AI Products do not apply to Labs or Preview Models; if you use these experimental models, Mistral AI may use your data for training regardless of your opt-out settings elsewhere. You can decline to use Labs or Preview Models if you do not want your data used for training.
View change record →The Customer receives no warranty protection for the products, documentation, or configuration recommendations and assumes the risk that they may not meet specific needs or quality standards.
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YOU ACKNOWLEDGE THAT CREDIT KARMA IS SOLELY AN INTERMEDIARY (I) BETWEEN YOU AND ANY CREDIT REPORTING AGENCY... AND (II) BETWEEN YOU AND OUR PARTNERS WHOSE OFFERS WE PRESENT.
ANYSCALE HEREBY DISCLAIMS ANY RESPONSIBILITY FOR THE RESULTS OBTAINED FROM THE USE OF THE ANYSCALE SERVICES OR THE CONCLUSIONS DRAWN FROM SUCH USE AND ANY WARRANTY THAT USE OF THE PLATFORM SERVICES WILL BE ERROR-FREE, BUG-FREE OR UNINTERRUPTED.
However, no e-commerce solution, website, mobile application, database or system is completely secure or "hacker proof."
"THE MISTRAL AI PRODUCTS, DOCUMENTATION, AND CONFIGURATION RECOMMENDATIONS ARE PROVIDED 'AS IS,' WITHOUT ANY WARRANTIES, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE...Excerpt from Mistral AI's Commercial Terms
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Companies change their terms without announcing it. We capture governance documents, compare each new version with the last, and publish what changed, with the source text behind it. One email a week on what we found and what we could not reach.
The Customer cannot rely on any implied quality or suitability guarantees; if the products fail to meet the Customer's needs, Mistral AI bears no warranty liability.
The Customer receives no warranty protection for the products, documentation, or configuration recommendations and assumes the risk that they may not meet specific needs or quality standards.
ConductAtlas has identified this type of provision across 281 platforms. See the full comparison.
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