Provision record
Mistral AI · Mistral AI Privacy Policy · View original document ↗

Default Model Training on User Inputs and Outputs

High severity Common · 217 of 352 platforms
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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

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

The clause establishes a default data usage practice for model training across Mistral's free tier products, with carve-outs for commercial and enterprise offerings. This creates distinct data handling regimes based on service tier and connection type.

Recent Activity

This document changed recently

Medium Jul 28, 2026

The updated policy now explicitly includes data accessed through third-party services and integrations users connect to Mistral AI Products as 'Input' data subject to collection and use. The policy removed its prior statement that Input and Output data are not used to train AI models when using Le Chat Enterprise or paid versions of Mistral APIs. This creates operational ambiguity: users of paid services and Enterprise customers no longer have a documented commitment that their data will be excluded from model training, though the privacy policy does not affirmatively state that model training now occurs. The policy also changed language describing product improvement from 'aggregated and anonymous statistics' to 'aggregated or anonymous datasets or statistics,' broadening the stated scope of what can be collected for improvement purposes.

View change record →

Clause Stability Stable

0
Changes
3
Months Monitored
May 8, 2026
First Seen
May 8, 2026
Last Seen
This clause type exists across 921 other provisions on other platforms.

Consumer impact (what this means for users)

Under this provision, user-generated inputs and outputs may be incorporated into model training processes by default for free service users, unless an affirmative opt-out mechanism is exercised. Paid and enterprise users operate under different terms where model training on their data does not occur.

How other platforms handle this

Runway Medium

the Company reserves the right, but not the obligation, to review or monitor Inputs and Outputs using automated and manual tools.

Chegg Medium

If you use a feature of our Services that is integrated with, facilitated by, or otherwise assisted by artificial intelligence...your inputs are "User Content" and the outputs of that service are "Chegg Content"...

Adobe Medium

These features are off by default and, should you choose to enable them, you can always disable these features.

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
To train our artificial intelligence models (large language models) to answer questions, generate text, translate, summarize and correct text, classify text, analyze feelings, etc. according to context, Inputs (e-mails, letters, reports, computer code, etc.) and Outputs. [...] Your Input and Output, subject to your opt-out. Please note that we do not use your Input and Output to train our artificial intelligence models when you use Le Chat Enterprise or the paid version of our APIs. If you connect a third-party service to the Mistral AI Products, we do not use this third-party service to train our artificial intelligence models.

Excerpt from Mistral AI's Privacy Policy

Applicable regulations

EU AI Act
European Union
California AB 2013 AI Training Data Transparency
US-CA
Colorado AI Act
US-CO
EU AI Act - High Risk Provisions
EU
GDPR
European Union
Texas AI Act
Texas, USA
Trump Executive Order on AI Policy Framework
US

Provision details

Document information
Document
Mistral AI Privacy Policy
Entity
Mistral AI
Document last updated
May 5, 2026
Tracking information
First tracked
May 11, 2026
Last verified
May 11, 2026
Record ID
CA-P-007010
Document ID
CA-D-00443
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
a3774c814d80737846c7ac8379ec7dcc1c55ee8e0300de40dccee951ff5d0230
Analysis generated
May 11, 2026 05:55 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Mistral AI
Document: Mistral AI Privacy Policy
Record ID: CA-P-007010
Captured: 2026-05-11 05:55:06 UTC
SHA-256: a3774c814d807378…
URL: https://conductatlas.com/platform/mistral-ai/mistral-ai-privacy-policy/provision/CA-P-007010/default-model-training-on-user-inputs-and-outputs/
Accessed: Aug. 4, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

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Frequently Asked Questions

What does Mistral AI's Default Model Training on User Inputs and Outputs clause do?

The clause establishes a default data usage practice for model training across Mistral's free tier products, with carve-outs for commercial and enterprise offerings. This creates distinct data handling regimes based on service tier and connection type.

How does this clause affect you?

Under this provision, user-generated inputs and outputs may be incorporated into model training processes by default for free service users, unless an affirmative opt-out mechanism is exercised. Paid and enterprise users operate under different terms where model training on their data does not occur.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 217 platforms. See the full comparison.

Is ConductAtlas affiliated with Mistral AI?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Mistral AI.