Blog · Comparison & AI · · 2 min read

Where your data goes: OpenAI vs Anthropic vs Mistral

A contract. A client file. You paste it into an AI. Yet before that everyday gesture, one question truly deserves an answer: where does the data go, and what does the provider actually do with it once it has left your screen? Training. Retention. Hosting country. Here is a general comparison between OpenAI (ChatGPT), Anthropic (Claude) and Mistral, and above all the fix that makes you independent of their policies, whatever those policies say today and whatever they turn into tomorrow.

CriterionOpenAI (ChatGPT)Anthropic (Claude)Mistral
Main hostingUnited StatesUnited StatesEuropean Union (France)
API / business: training on your dataNot by defaultNot by defaultNot by default
Consumer productMay train unless opted outGenerally not by defaultDepends on the product, check
Data rétentionLimited, varies by planLimited, varies by planLimited, varies by plan
Enterprise / zero rétention optionYes (Enterprise)Yes (business)Yes (pro / on-prem)

Important: provider policies change fast. This table gives a général posture, to be confirmed in each service's current terms and DPA before any professional use.

What really differs

On paper, they look alike. On API and enterprise plans, all three providers claim the very same thing: no training on your data by default. The devil sits elsewhere. The real differences are about hosting (Mistral is the only European one), the exact retention of your content, and consumer products, where training can stay active until you opt out yourself. The rule for professional use fits in a single line: read the DPA, then pick the right plan.

The fix: anonymize before sending

The key point is simple. If the document no longer holds any identifying data the moment it leaves, then the provider's policy, its country, its retention window and its little opt-out checkboxes suddenly weigh far less in the balance. Pseudonymize before the AI. You reduce exposure whatever the model, and you re-identify the result locally, on your own machine. Total freedom: switch tools whenever you like, without ever changing your risk level.

That is exactly what Safe-Doc does. It pseudonymizes before the AI, never depending on the provider you picked nor on the one you might move to next year. Processing in the European Union, then purged. The key stays under your control. See the ChatGPT and GDPR at work guide.

Stay in control of your data, not hostage to a provider: pseudonymize first, re-identify locally.

Part of the guide : Comparisons ↗