Best European Alternatives to ChatGPT
Looking for a European alternative to ChatGPT? OpenAI's ChatGPT is a powerful AI assistant, but it's based in the US and processes your data on American servers. For businesses and individuals who value privacy, GDPR compliance, and data sovereignty, European AI alternatives offer compelling options.
We've curated the best privacy-focused AI assistants and chatbots built in Europe. These alternatives provide powerful AI capabilities while keeping your data protected under European law.
How we rank these tools — 4-step process
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European ownership, verified
The company is headquartered and incorporated in the EU, EEA or Switzerland, and processes customer data in Europe. A US parent company disqualifies a tool from this page regardless of where its servers are.
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Category fit and hands-on review
What the tool actually does, who it suits, and where it falls short — checked against the vendor’s own documentation, changelog and pricing page rather than its marketing copy.
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Compliance and pricing check
GDPR posture, hosting location and the prices quoted on this page are verified against the vendor’s public pricing before publication, and re-checked when we revisit the category.
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Position on this page
Placement on this page can be paid, and that can affect which tools appear here and the order they appear in. It never buys a good review: a tool that fails the checks above is not here at any price, and payment does not change the shortcomings we write about. A vendor can ask us to correct a factual error — not to remove a criticism.
Vendors can pay for visibility on this page. It never changes what an entry says about a product, including the criticism, and we earn nothing when you click through to a vendor. Paid placement can affect which tools appear here and the order they appear in. Editorial policy
Why Choose a European Alternative to ChatGPT?
GDPR Protection
Your data stays in Europe, protected by the world's strongest privacy laws.
EU Data Centers
Data processed and stored exclusively within the European Union.
No US Surveillance
Free from CLOUD Act and other US data access laws.
Open Source Options
Many European AI projects are open source, ensuring transparency.
Best European Alternatives to ChatGPT
We've curated the best privacy-focused AI assistants from European companies. Each alternative has been evaluated for features, privacy, and GDPR compliance.
DentroChat
European AI chat with no US subprocessors anywhere in the stack
Lumo
Proton’s privacy-first assistant, open source from app to model
Mistral AI
Powerful open-weight AI models from France, rivaling GPT-4 capabilities
Aleph Alpha
Enterprise-grade AI with sovereign data processing from Germany
DeepL Write
AI-powered writing assistant with superior language understanding
BLOOM
Open-access multilingual AI model trained by BigScience
Feature Comparison: ChatGPT vs European Alternatives
| Feature | ChatGPT | Mistral AI | Aleph Alpha | DeepL Write |
|---|---|---|---|---|
| Headquarters | USA | France | Germany | Germany |
| GDPR Compliant | Partial | Yes | Yes | Yes |
| EU Data Centers | No | Yes | Yes | Yes |
| Open Source | No | Yes (weights) | No | No |
| Free Tier | Yes | Yes | No | Yes |
| API Access | Yes | Yes | Yes | Yes |
| Self-Hosting | No | Yes | Yes | No |
Key takeaways
- OpenAI does offer European data residency, free, on ChatGPT Enterprise, ChatGPT Edu and the API — but not on Free, Go, Plus or Pro.
- In November 2025 a US court ordered OpenAI to hand twenty million anonymised conversations to The New York Times, which is a risk no region setting addresses.
- Since 28 October 2025 the commercial entity has been OpenAI Group PBC, a Delaware public benefit corporation.
- Mistral's Le Chat Pro is $14.99 a month against ChatGPT Plus at $20, and Mistral publishes open weights you can run yourself.
- If your objection is that logs exist at all, only a downloaded model or a zero-access provider removes them; a different country only moves them.
Why people leave ChatGPT
The usual complaint about ChatGPT is that European data has to cross the Atlantic, and at the top of the price list that complaint is out of date.
OpenAI has offered European data residency since February 2025 for ChatGPT Enterprise, ChatGPT Edu and the API, at no extra cost, and has since added in-region GPU inference with zero data retention for eligible Enterprise projects. If a procurement form asks where customer content is stored at rest, OpenAI has an answer and it is Europe.
What that answer does not cover is the plan almost everyone is actually on. Free, Go, Plus and Pro accounts have no region to select. The residency controls are a business feature, so the marketing assistant pasting a client brief into Plus at eleven at night is outside every guarantee the enterprise page makes.
And then there is the reason this page exists at all. Through 2025 the contents of ordinary ChatGPT conversations became evidence in an American copyright suit.
A preservation order in May 2025 required OpenAI to hold on to output logs it would otherwise have deleted; that obligation ended on 26 September 2025, but on 7 November a federal magistrate ordered OpenAI to produce twenty million anonymised conversations to The New York Times, and refused to pause the order six days later. No storage region changes that, because the company holding the logs sits in San Francisco.
- Your chat log is discoverable in someone else's lawsuit This is the specific thing that distinguishes ChatGPT from every other assistant in this comparison. Twenty million anonymised conversations were ordered handed to a newspaper in November 2025, over OpenAI's objection that the overwhelming majority had nothing to do with the case. The users involved were not parties to the dispute and were never asked. Whatever you think of the merits, it establishes that consumer chat history is reachable through American civil procedure.
- Residency exists, but not on the plan you use European storage and in-region inference are real and free, and they apply to ChatGPT Enterprise, ChatGPT Edu and API projects. They do not apply to Free, Go, Plus or Pro. Worth knowing before you buy: European residency can only be configured when an API project is created, not switched on for an existing one. If your organisation has a mixed estate of personal Plus accounts and one Enterprise tenancy, only part of it is covered.
- The company changed shape in October 2025 OpenAI completed a recapitalisation on 28 October 2025. The commercial entity is now OpenAI Group PBC, a Delaware public benefit corporation, with the nonprofit renamed the OpenAI Foundation holding roughly a quarter of the equity and the power to appoint and remove the entire board. Microsoft holds about 27 per cent. None of that is scandalous; it is simply a different counterparty from the one most vendor assessments were written against, and Delaware incorporation is what puts the CLOUD Act on the list.
- You cannot take the model with you If OpenAI changes its pricing, its retention policy or its model line-up, your options are to accept it or to rebuild your prompts somewhere else. Nothing you use is downloadable. Two of the alternatives below publish weights you can run on hardware you control, which turns the supplier relationship from a dependency into a choice you can revisit.
What you have to replace, not just match
ChatGPT is not one product, and working out which of its jobs you rely on decides whether this move takes an afternoon or a quarter.
The first job is the general assistant: drafting, summarising, arguing with an idea at speed. The second is the work you feed it confidential text for — contracts, patient notes, a supplier agreement to translate or rewrite. The third is the API behind something you have built, where the model is a component rather than a window. The fourth is everything OpenAI added around the window: image generation, voice, memory across sessions, file analysis, connectors into your other tools.
A European assistant covers the first and the second comfortably. The third is a straightforward swap to a provider whose inference runs in France or on your own hardware. The fourth is where the honest answer is that you will lose things, and this page names them rather than pretending the catalogue matches.
The alternatives compared
| Position | Tool | Headquarters | Pricing | Jurisdiction |
|---|---|---|---|---|
| #1 | DentroChat | Tallinn, Estonia | Free tier of 15 messages / EUR 1 seven-day trial / EUR 12 per month or EUR 97 per year | EU (Estonia) |
| #2 | Lumo | Geneva, Switzerland | Free tier with limits / Lumo Plus $9.99 per month billed annually / Lumo for Business via Proton Workspace | Switzerland |
| #3 | Mistral AI | Paris, France | Free tier / pay-per-use API | EU (France) |
| #4 | Aleph Alpha | Heidelberg, Germany | Enterprise pricing on request | EU (Germany) |
| #5 | DeepL | Cologne, Germany | Free tier / from about €8.99/month | EU (Germany) |
| #6 | Hugging Face | Paris, France (and New York) | Free tier / Pro from $9 per month / Enterprise | US-incorporated despite French origins |
How each alternative compares to ChatGPT
- Which law reaches it. EU (Estonia). ChatGPT is run from the United States, so the CLOUD Act obliges the provider to hand over data on a valid order regardless of which country the servers are in.
- Where the data sits. EU only, no US subprocessors.
- Source code. Closed source, as ChatGPT is.
- Independently checked. GDPR.
Best for: Organisations that have to show an auditor no American company touches the prompts
The thing OpenAI cannot give you, even with European residency switched on, is a supplier chain with no American company in it. Dentro can, and it states the position flatly: all of its infrastructure runs in European data centres, it uses no US subprocessors, and customer data never crosses the Atlantic. That is a claim about the whole chain rather than about one storage setting, which is what a procurement questionnaire is actually asking.
Against ChatGPT specifically, that answers the November 2025 problem rather than the storage problem. A conversation held entirely inside European companies is not sitting in a repository that a New York magistrate can order produced in a dispute you are not party to. It is a smaller, quieter guarantee than encryption, and for most organisations it is the one that satisfies the questionnaire.
What you get for €12 a month or €97 a year is competent rather than frontier: Fast, Thinking and Creative modes, image generation, web search, file and PDF analysis, voice input, memory across conversations, and a workspace that turns a conversation into documents, decks and spreadsheets. Sharing is by link, not by an admin console with roles and audit trails, so a fifty-person rollout will feel thin.
What DentroChat does better than ChatGPT
- A blanket commitment to European-only infrastructure with no US subprocessors, where ChatGPT asks you to trust a per-plan residency setting
- No US parent company, so no exposure to American discovery of the kind OpenAI faced in 2025
- €12 a month against $20 for ChatGPT Plus, with the privacy position included rather than sold as a business tier
- Every plan gets the same jurisdiction, so there is no gap between what the Enterprise tenancy has and what the individual accounts have
Where DentroChat is a step down from ChatGPT
- It trains no models of its own, so capability tracks whichever European provider it routes to and changes when they change
- DentroInnovation OÜ is a young Estonian company, founded in 2023, being weighed here against one of the largest AI companies in the world
- No self-hosting, no source to inspect, and web only
- Link-based sharing rather than proper multi-user administration, which ChatGPT Business has
Standout against ChatGPT. It is the only assistant on this page whose European commitment covers the whole supply chain rather than one storage setting on one tier.
- Which law reaches it. Switzerland. ChatGPT is run from the United States, so the CLOUD Act obliges the provider to hand over data on a valid order regardless of which country the servers are in.
- Where the data sits. Switzerland.
- Source code. Open source, where ChatGPT is not: you can read what it does rather than take the description on trust.
- Independently checked. GDPR.
Best for: People whose objection is that a log of the conversation exists at all
Read the 2025 court orders carefully and the underlying issue is not where logs live but that readable logs live anywhere. Lumo answers that differently from everything else here: conversation history uses zero-access encryption, so Proton cannot read it, and a demand for the contents returns ciphertext. Proton AG is in Geneva, which puts the company outside American reach to begin with.
It is also the only assistant in this comparison that is open from the app down to the weights, which means the privacy claims can be inspected rather than believed. And you can use it as a guest with no account at all, in which case the conversation is erased at the end of the session — a genuinely unusual position for a product competing with ChatGPT.
The trade is symmetrical with Proton Mail: lose the password and recovery phrase and the history is gone, because nobody can decrypt it for you.
Capability sits behind ChatGPT on hard reasoning, long context and code, there is no self-hosting, and the free tier is tight enough that regular use means Plus at $9.99 a month billed annually. One detail worth knowing before a sovereignty conversation: the open models Proton serves are Chinese-trained — Proton names Qwen 3.5 and GLM 5.2 — rather than European ones.
What Lumo does better than ChatGPT
- Zero-access encryption on chat history, so the provider cannot produce readable conversations under any order
- Swiss company, outside both the CLOUD Act and the American civil discovery that reached ChatGPT logs in 2025
- Open source from the app to the model weights, where nothing in ChatGPT is inspectable
- Guest access with no account at all, where the session is erased when you close it, which ChatGPT does not offer
- $9.99 a month billed annually against $20 for ChatGPT Plus
Where Lumo is a step down from ChatGPT
- Clearly behind ChatGPT on hard reasoning, long context and coding
- The base models are Chinese-trained open weights, which matters if sovereignty means who built the model
- No self-hosting and no API to build on
- Lose your credentials and the encrypted history is unrecoverable
Standout against ChatGPT. It is the only option here where the honest answer to a production order is that the company has nothing readable to hand over.
- Which law reaches it. EU (France). ChatGPT is run from the United States, so the CLOUD Act obliges the provider to hand over data on a valid order regardless of which country the servers are in.
- Where the data sits. EU (France).
- Source code. Open source, where ChatGPT is not: you can read what it does rather than take the description on trust.
- Independently checked. GDPR.
Best for: Anyone who wants ChatGPT's shape without ChatGPT's counterparty
Mistral is the only European company that can replace all three of the things a ChatGPT account does: the assistant window, the developer API, and the model itself. Le Chat runs on web, iOS and Android with deep research, image editing and memory between conversations, at $14.99 a month for Pro against $20 for Plus, with Team at $24.99 per user and a $50 monthly minimum.
The part that matters against OpenAI is not the price but the exit. Mistral Large 3 is published as an open-weight download — 41 billion active parameters out of 675 billion total, with a 256,000-token context window — and no American frontier lab releases anything comparable. That means a Mistral dependency is reversible: if the terms change, you take the weights and run them. A ChatGPT dependency is not.
Mistral AI operates from Paris, so La Plateforme processes under French law rather than under the CLOUD Act, and API usage is billed per million tokens, with Mistral Large at $0.50 in and $1.50 out and the smaller models below that. Where it trails is the same place every ChatGPT alternative trails: fewer plugins, fewer third-party integrations, thinner enterprise support, and a release cadence quick enough that keeping current is a small ongoing job.
What Mistral AI does better than ChatGPT
- Frontier-class models published as open weights, so leaving is possible in a way it is not with OpenAI
- French company and French processing, outside the Delaware jurisdiction that produced the 2025 discovery orders
- Le Chat Pro at $14.99 against ChatGPT Plus at $20, with a free tier underneath
- The same supplier covers the chat window, the API and a model you can run on your own hardware
- Models from 3B edge-size up to 675B total, so the small ones run on hardware you already own
Where Mistral AI is a step down from ChatGPT
- A smaller plugin and integration catalogue than ChatGPT, which is the gap daily users notice first
- Enterprise support is thinner than OpenAI's, and the account management is lighter
- Not every model in the line-up is open-weight, so check before you plan around it
- Still behind the very top of the frontier on the hardest reasoning and coding work
Standout against ChatGPT. It is the only alternative to ChatGPT that you can stop paying for and keep using, because the weights are yours to download.
- Which law reaches it. EU (Germany). ChatGPT is run from the United States, so the CLOUD Act obliges the provider to hand over data on a valid order regardless of which country the servers are in.
- Where the data sits. EU data centres, on-premise available.
- Source code. Closed source, as ChatGPT is.
- Independently checked. GDPR, EU AI Act transparency.
Best for: Public bodies and regulated firms where ChatGPT Enterprise still fails the assessment
Some organisations cannot buy ChatGPT Enterprise no matter which region OpenAI offers, because the rule is about the supplier rather than the storage. For those buyers Aleph Alpha sells something different in kind: PhariaAI, which the company describes as a sovereign AI suite — an assistant, a development studio, an operating layer for deployment and scaling, and a knowledge-capture component — run on European infrastructure or inside your own.
On-premise deployment is the feature that makes this concrete. The sensitive class of work never leaves your own servers, because the stack is installed rather than subscribed to. Against ChatGPT that turns an all-or-nothing procurement decision into a deployment you can describe line by line.
It also closes the loop ChatGPT leaves open, tracing an answer back to the source documents that produced it — what the EU AI Act asks of high-risk systems, and what Aleph Alpha builds its transparency claim on. The price of all this is that there is no self-service entry, nothing is published, pricing is quoted on request from Heidelberg, the models are proprietary with no open weights, and raw capability sits below the largest American models.
What Aleph Alpha does better than ChatGPT
- Deployable inside your own boundary, so no American company holds the conversation at all
- Deployable on your own servers, so sensitive workloads never reach a third party at all
- Source attribution makes an AI-assisted decision auditable, which ChatGPT does not attempt
- Built against EU AI Act transparency requirements rather than retrofitted to them
- German company, German law, and an operating stack run by European suppliers end to end
Where Aleph Alpha is a step down from ChatGPT
- Enterprise-only and sales-led, where ChatGPT is a card number and five minutes
- Nothing published on price, so comparison against a $20 subscription is impossible
- Proprietary, with no open weights to take away
- Raw model capability trails the frontier that ChatGPT users are used to
Standout against ChatGPT. It is the only option here that lets a bank or a ministry keep the classified half of the workload on its own servers and still use cloud capacity for the rest.
- Which law reaches it. EU (Germany). ChatGPT is run from the United States, so the CLOUD Act obliges the provider to hand over data on a valid order regardless of which country the servers are in.
- Where the data sits. EU.
- Source code. Closed source, as ChatGPT is.
- Independently checked. GDPR.
Best for: Teams whose ChatGPT use is mostly translating and rewriting sensitive text
Look at what actually gets pasted into a ChatGPT window in a European company and a great deal of it is text that needs to be in another language, or the same language with a different register.
That is the one task where a European product is simply better rather than merely closer to home: DeepL's output on European language pairs keeps whether the original was formal or casual, which is the difference between a draft you send and a draft you rewrite.
It is also the answer to the specific worry this page is about. DeepL SE operates from Cologne and processes under GDPR, and its paid plans carry a commitment not to retain the text after translation. Set that against a chat log that a foreign court ordered produced by the twenty million, and for a contract or a medical record the comparison is not close.
Being narrow is the whole point and also the limitation. Glossaries enforce your terminology across everything, document translation preserves formatting, DeepL Write applies the same engine to improving text in one language, and the API embeds it in a product. It will not brainstorm, write code or answer a question, it covers fewer languages than Google Translate, and the free tier does not carry the non-retention commitment.
What DeepL does better than ChatGPT
- Better than ChatGPT at translating between European languages, particularly at preserving register
- Paid plans commit to not retaining the text, where ChatGPT logs became subject to a US production order
- German company under GDPR, with no American parent in the chain
- Glossaries enforce company terminology across every document, which a general assistant cannot do reliably
- Document translation that comes back formatted rather than as text to rebuild
Where DeepL is a step down from ChatGPT
- It does one job; it is not a general assistant and does not pretend to be
- Fewer languages than ChatGPT handles, and weaker outside the European core
- The free tier lacks the non-retention commitment that makes the paid plans worth buying
- Not open source and not self-hostable
Standout against ChatGPT. It is the only product on this page that is better than ChatGPT at something, rather than better placed.
- Which law reaches it. US-incorporated despite French origins. ChatGPT is run from the United States, so the CLOUD Act obliges the provider to hand over data on a valid order regardless of which country the servers are in.
- Where the data sits. EU/US.
- Source code. Open source, where ChatGPT is not: you can read what it does rather than take the description on trust.
- Independently checked. GDPR.
Best for: Teams willing to run a model themselves so that no log exists anywhere
This entry comes with a correction attached. Hugging Face Inc. is US-incorporated despite its French origins and Paris presence, so buying its hosted inference does not move you out of American jurisdiction and it should not be sold to you as a European alternative to ChatGPT. That is worth saying before it surfaces in a procurement review.
What it is instead is the supply route for the only answer that removes the problem rather than relocating it.
The Model Hub distributes the open weights — Mistral's among them — the Transformers library is the standard way to load and run them, Spaces lets you try one before committing, and Datasets covers the training data. A model downloaded from it and served on your own hardware creates no third-party record: no retention setting, no preservation order, no twenty million logs.
The honest caveats are quality and skill. The Hub holds hundreds of thousands of models and telling the well-evaluated from the abandoned takes expertise; managed inference is not the cheapest route at volume; and none of this is useful without someone who can operate it. Free tier, Pro from $9 a month, Enterprise above that.
What Hugging Face does better than ChatGPT
- A downloaded model produces no provider-side log at all, which is the root of the ChatGPT problem rather than a mitigation of it
- Open weights from many labs in one place, so the model choice is not tied to one vendor's roadmap
- Spaces let you evaluate a model against your own prompts before any commitment
- Free to start, and self-hosted inference costs compute rather than per-seat subscriptions
Where Hugging Face is a step down from ChatGPT
- US-incorporated, so its own hosted services do not answer the jurisdiction question
- Requires real machine-learning familiarity, where ChatGPT requires none
- Model quality across the Hub varies enormously and the sorting is on you
- Managed inference at volume is more expensive than it first looks
Standout against ChatGPT. It is the only entry here that is honest about not being European, and the only one that can make the jurisdiction question irrelevant rather than answering it.
What actually breaks when you switch
Custom GPTs are the thing nobody counts. If your team has built a handful of them with instructions, files and connected actions, none of that moves. You can export the conversation archive from data controls, and no European assistant will import it, so what transfers is a reference copy for you rather than continuity for the tool.
The second cost is habitual. People have learned how to prompt ChatGPT specifically, including its tolerances and its failure modes, and a different model answers differently to the same words. Expect a fortnight of mild irritation and a small number of tasks that genuinely need reworking, and run a parallel period rather than a switch-off date.
The third is the shadow estate. A single Enterprise tenancy with European residency does nothing about the personal Plus accounts people already pay for themselves, and those are where the sensitive pasting tends to happen. Find out what is actually in use before you congratulate yourself on the migration, because the accounts you do not know about are the ones the policy was written for.
Does European data residency on ChatGPT solve the problem?
It solves the storage question properly. Customer content at rest sits in Europe, inference for eligible Enterprise, Edu and Healthcare projects can be pinned in-region, and those in-region API requests run with zero data retention, meaning prompts and responses are not stored on OpenAI servers at all. That is a stronger offer than several American vendors manage and it should be acknowledged.
It does not solve who holds the company. OpenAI Group PBC is incorporated in Delaware, so a valid American order reaches it regardless of which data centre the bytes are in. The events of 2025 showed that the order does not even have to be a criminal warrant — a discovery dispute in a copyright case was enough.
And it does not reach the consumer plans, which is where most of an organisation's actual usage tends to hide. Check what people are logged into before concluding you are covered.
What exactly happened with the twenty million conversations?
The New York Times sued OpenAI over training on its journalism. In May 2025 the court ordered OpenAI to preserve output logs it would normally have deleted, which caught chats from users with no connection to the case. That going-forward preservation obligation ended on 26 September 2025.
On 7 November 2025 the magistrate ordered OpenAI to produce twenty million anonymised conversation logs to the Times, finding them relevant to whether infringement occurred and to OpenAI's claim that evidence had been manipulated. OpenAI asked for a pause pending reconsideration and was refused on 13 November.
The practical lesson is narrow and worth stating plainly: anonymisation is a process applied by the defendant, and the decision about whether your conversation was relevant was made by a court in New York rather than by you. If your prompts contain other people's personal data, that is a processing chain you did not document.
Will a European assistant actually be good enough?
For drafting, summarising, rewriting, translating and reasoning over documents you provide, yes. Mistral Large 3 reasons across a 256,000-token context window and is multimodal and multilingual, and for the everyday work that fills most ChatGPT accounts the difference is not the thing you will notice.
What you will notice is the surroundings. ChatGPT has more connectors, a larger app ecosystem, better voice, and a longer track record of behaving predictably under unusual instructions. If your use is at the edge of what models can do — long agentic chains, hard reasoning, heavy code generation — the gap is real and you should test rather than take anyone's word for it.
The useful test is a fortnight of your own prompts, not a benchmark table. Most teams find that the frontier matters for about five per cent of what they do, and that five per cent is worth identifying before you decide anything.
Is running my own model realistic, or is that advice for someone else?
It is realistic for a narrower set of tasks than the enthusiasts suggest and a wider set than most businesses assume. Mistral publishes open weights under Apache 2.0, including the Ministral 3 family at 3B, 8B and 14B, which runs on modest hardware, and an 8B reasoning variant of it. Hugging Face is where you get them.
What self-hosting buys is the end of the logging question. There is no provider, no retention setting and no preservation order, because there is no third party holding a record of what you asked. For a legal, medical or HR workload that is a categorically different position from a contractual promise.
What it costs is a person who understands inference serving, GPUs or the rental of them, and an acceptance that the model you run will be behind the frontier. The sensible pattern is a hosted European assistant for general work and a self-hosted model for the class of documents you would not put in anyone's cloud.
Which one to pick
If your reason for leaving is the November 2025 production order rather than the storage location, look first at the two answers that make logs unproducible: Lumo, where the provider holds only ciphertext, or a model you run yourself from weights obtained through Hugging Face. Everything else moves the record to a friendlier country without removing it.
If you want ChatGPT's shape with a European counterparty, Mistral is the answer and it is a good one — cheaper than Plus, processed in France, and reversible, because the weights are downloadable if the relationship sours.
If the obstacle is a procurement questionnaire about subprocessors, DentroChat is the shortest path to a signature, and if the obstacle is a regulator, Aleph Alpha is the platform built for that conversation.
And if you are leaving because you fed ChatGPT confidential text to translate or tidy, buy DeepL, keep a general assistant for everything else, and accept that the good version of this decision is usually two tools rather than one.
Frequently Asked Questions
Mistral if you want the closest thing to a straight swap, with an API and downloadable weights behind it. DentroChat if you have to prove to an auditor that no American subprocessor is in the chain.
Lumo if you would rather the provider could not read your history at all. Aleph Alpha if you are a government body or a bank buying a platform rather than a subscription. DeepL if what you actually paste into ChatGPT is text to be translated.
Yes, and it is free, but only on ChatGPT Enterprise, ChatGPT Edu and the API platform. Customer content can be stored at rest in Europe and eligible Enterprise projects can pin GPU inference in-region with zero data retention. Free, Go, Plus and Pro have no region setting. Note also that European residency for an API project has to be chosen when the project is created; existing projects cannot be converted.
It can be used compliantly: there is a data processing agreement, European storage on business plans, and an established transfer mechanism. What no configuration changes is that OpenAI Group PBC is a Delaware corporation, so American legal process reaches the company that holds the logs. In 2025 that process turned out to include a civil discovery order in a copyright case, not only law-enforcement demands.
On business plans, no: content from Enterprise, Edu and API usage is not used to train models by default. On consumer plans there is a setting, and the default is not the private one. The more useful question is retention rather than training, because a model that never saw your prompt is no comfort if the log of it still exists and can be ordered produced.
ChatGPT runs a free tier, the cheaper Go tier, which is priced regionally rather than uniformly, Plus at $20 and Pro at $200 a month, with Business and Enterprise seats above that.
Mistral's Le Chat is free with Pro at $14.99 and Team at $24.99 per user with a $50 monthly minimum. DentroChat is €12 a month or €97 a year. Lumo Plus is $9.99 a month billed annually. On price the European options are level or cheaper, which is unusual in this directory.
The ecosystem rather than the model. Connectors to other systems, the breadth of the app catalogue, voice mode, and the quiet reliability of a tool that everyone you work with already knows how to prompt. Custom GPTs do not transfer anywhere, and if your team built a dozen of them, that is a rebuild rather than an export.
You can export it, as a JSON archive from the data controls in settings, and you cannot import it. No European assistant ingests an OpenAI export into its own memory, so what you are moving is a record for your own reference rather than continuity of context. Treat the switch as a clean start and keep the archive somewhere you control.
It is different in a way that matters here. A model you downloaded and run yourself produces no third-party log, so there is nothing for a court in another country to order produced and no retention policy to read. It is not safer in the sense of being better aligned or harder to misuse, and a badly secured inference server is worse than a well-run cloud. The guarantee is that the record stays with you.
Not in the jurisdictional sense, and this page will not pretend otherwise. Hugging Face Inc. is US-incorporated despite its French origins and its Paris office, so buying its managed services does not move you out of American reach. What it provides is the distribution point for open weights, and a model downloaded from it and run on your own hardware answers the question completely.
Who worked on this review
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