Best European Alternatives to Google Gemini

Looking for a European alternative to Google Gemini? Google's Gemini AI (formerly Bard) is a powerful multimodal AI assistant, but it's deeply integrated with Google's data collection practices. For businesses and individuals who value privacy and want to avoid Google's data ecosystem, European AI alternatives offer compelling options.

We've curated the best privacy-focused AI assistants built in Europe. These alternatives provide powerful AI capabilities while keeping your data protected under European law and free from advertising-driven data collection.

4 Alternatives
100% GDPR Compliant
How we rank these tools — 4-step process
  1. 1
    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.

  2. 2
    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.

  3. 3
    Compliance and pricing check

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Why Choose a European Alternative to Google Gemini?

No Data Harvesting

European alternatives don't use your conversations to train ads or build profiles.

EU Data Centers

Data processed and stored exclusively within the European Union.

Escape Google's Ecosystem

Break free from Google's all-encompassing data collection network.

Open Source Options

Many European AI projects are open source, ensuring transparency.

Best European Alternatives to Google Gemini

We've curated the best privacy-focused AI assistants from European companies. Each alternative has been evaluated for features, privacy, and GDPR compliance.

Mistral AI

Powerful open-weight AI models from France, rivaling Gemini capabilities

#1 for replacing Google Gemini
France

Aleph Alpha

Enterprise-grade AI with sovereign data processing from Germany

#2 for replacing Google Gemini
Germany

DeepL Write

AI-powered writing assistant with superior language understanding

#3 for replacing Google Gemini
Germany

BLOOM

Open-access multilingual AI model trained by BigScience

#4 for replacing Google Gemini
France

Key takeaways

  • Gemini Apps Activity is kept for eighteen months by default, adjustable to three or thirty-six months or switched off.
  • Chats read by human reviewers are retained for up to three years and survive deletion of your activity, because Google stores them separately from your account.
  • Even with Keep Activity off, conversations are held with your account for seventy-two hours.
  • European storage and processing for Gemini do exist: data regions cover the Gemini app and Gemini in Workspace both at rest and during processing, with the depth of coverage set by your Workspace edition and nothing at all on a personal account.
  • Mistral's Le Chat Pro is $14.99 a month against roughly $19.99 for Google AI Pro, and Mistral publishes weights you can run yourself.

Why people leave Google Gemini

Gemini is the assistant most people did not choose. It arrived in the search box, in the Workspace side panel, on the phone, and in the address bar, and a great deal of its usage is people trying it because it was already there. That matters for this page, because a tool nobody decided to adopt is also a tool whose settings nobody went looking for.

Google now does offer European controls, and anyone claiming otherwise is working from old notes. The data regions policy covers the Gemini app as well as Gemini inside Workspace, for data at rest and during processing, so an administrator can require that it stays in Europe.

The condition is the edition: the Enterprise tier comes with Frontline Plus, Enterprise Plus or the Data Regions add-on, the Fundamental tier comes with Business Standard, Business Plus, Frontline Standard, Education Standard and the Enterprise Essentials plans, and what is covered during processing varies between them. None of it applies to someone using the consumer app with a personal account.

The reason to leave is the one Google documents in its own privacy hub. Conversations are kept for eighteen months by default. Turning activity off does not stop them being stored for seventy-two hours.

And chats that human reviewers have read are not deleted when you delete your activity: they are held separately from your account and retained for up to three years. That is the sentence worth rereading, because it means the delete button in the interface does not reach the copy that a person has already seen.

  • Deleting your activity does not delete the reviewed copies Google states that chats reviewed by human reviewers, along with related data such as your language, device type, location information and feedback, are retained for up to three years and are not removed when you clear your activity, because they are stored apart from your Google account. Every other privacy control in the product operates on the copy attached to your account. This one is outside that system, which makes the usual advice about clearing your history incomplete.
  • Eighteen months is the default, not a limit The standard auto-delete window for Gemini Apps Activity is eighteen months. You can shorten it to three, lengthen it to thirty-six, or switch auto-delete off entirely. Nothing about that is hidden, and almost nobody changes it, which is how defaults work. If you have been using Gemini casually since it appeared in your Google account, assume roughly a year and a half of conversations are sitting there now.
  • Turning it off is not the same as nothing being stored With Keep Activity off, chats are still retained with your account for seventy-two hours so the service can respond, process feedback and support abuse handling. That is a reasonable operational window and it is not zero. For anyone whose mental model is that switching the setting off means nothing is kept, it is worth knowing the actual number.
  • The European controls depend on which Workspace edition you bought Data regions reach further down the price list than most comparisons assume: the Fundamental tier ships with Business Standard and Business Plus as well as Frontline Standard, Education Standard and the Enterprise Essentials plans, while the Enterprise tier ships with Frontline Plus and Enterprise Plus or can be bought as a Data Regions add-on. What differs between them is how much is covered during processing rather than only at rest. Every individual on a personal Google account has no region to select at all. It means the answer to "does Gemini keep data in Europe" depends entirely on which licence you hold.

What you have to replace, not just match

Separate the Gemini you pay for from the Gemini that follows you around, because they are different products with different answers.

The paid assistant is the one in the app and on gemini.google.com, doing research, drafting, analysis and image work. That is straightforwardly replaceable and the rest of this page is about doing it. The embedded Gemini is the summary above your search results, the side panel in Docs and Gmail, and the assistant on the phone — none of which you cancel by switching assistants, because they come with services you are probably keeping.

So the honest framing is that leaving Gemini is a two-part job: choose a replacement for the deliberate use, and then go through the activity and regionalisation settings for the embedded use you are keeping. Teams that do only the first half feel virtuous and change almost nothing about their exposure.

The alternatives compared

European Google Gemini alternatives, in the order this page ranks them, compared on headquarters, pricing and jurisdiction
PositionToolHeadquartersPricingJurisdiction
#1 Mistral AI Paris, France Free tier / pay-per-use API EU (France)
#2 Aleph Alpha Heidelberg, Germany Enterprise pricing on request EU (Germany)
#3 DeepL Cologne, Germany Free tier / from about €8.99/month EU (Germany)
#4 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 Google Gemini

#1

Mistral AI

the assistant you open on purpose

Paris, FranceFree tier / pay-per-use API#1 in LLMs & AI

  • Which law reaches it. EU (France). Google Gemini 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 Google Gemini is not: you can read what it does rather than take the description on trust.
  • Independently checked. GDPR.

Best for: People who want one deliberate tool rather than an assistant woven through everything

Half of what makes Gemini uncomfortable is that it is everywhere by default and its retention behaviour is a setting in a different product. Le Chat is a thing you open. It has memory between conversations because you switch it on, it has deep research, image editing and native multilingual reasoning across European languages, and it runs on web, iOS and Android at $14.99 a month for Pro against roughly $19.99 for Google AI Pro.

Underneath, Mistral AI is a Paris company and La Plateforme processes in France, so the arrangement is with a European supplier under European law rather than with an American one offering a European configuration at the top of the price list.

For a developer the API is billed per million tokens, with Mistral Large at $0.50 in and $1.50 out and the smaller models below that, which puts a European option inside reach of a product budget rather than a procurement cycle.

The distinctive part is the exit. Mistral Large 3 is published as an open-weight download with a 256,000-token context window, and the smaller Ministral 3 models at 3B, 8B and 14B run on ordinary hardware.

That means the retention question can be answered permanently if you ever decide it needs to be, by moving the same family of models onto machines you own. What you give up is the integration Gemini has with Search, Docs, Gmail and Android, which is all of it.

What Mistral AI does better than Google Gemini

  • A single assistant you choose to use, rather than a default layered through search, mail, documents and phone
  • French company processing under French law, with no add-on licence required to get European processing
  • $14.99 a month for Pro against roughly $19.99 for Google AI Pro, with a free tier underneath
  • Open weights available for download, so the dependency is reversible
  • No review programme retaining copies outside the account you control

Where Mistral AI is a step down from Google Gemini

  • No presence in Search, Gmail, Docs or on an Android phone
  • A smaller ecosystem of integrations and connected services than Google's
  • Behind the very top of the frontier on the hardest reasoning and coding tasks
  • Enterprise support and account management are thinner than Google's

Standout against Google Gemini. It is the only replacement here whose relationship you can end completely, by taking the weights and running them yourself.

mistral.ai Visit Mistral AI
#2

Aleph Alpha

the one with no external reviewer at all

Heidelberg, GermanyEnterprise pricing on request#4 in LLMs & AI

  • Which law reaches it. EU (Germany). Google Gemini 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 Google Gemini is.
  • Independently checked. GDPR, EU AI Act transparency.

Best for: Organisations that cannot accept a third party reading a sample of the conversations

The review programme is the part of Google's disclosure that survives every setting, and it has one complete answer: do not send the conversation outside the organisation. PhariaAI is a sovereign AI suite that deploys on European infrastructure or inside your own, so the assistant, the development studio, the deployment layer and the knowledge capture all run inside a boundary you define, under European law. There is no sample, no reviewer and no three-year copy held by someone else.

Installing it rather than subscribing to it is what makes that absolute. Material that must never leave does not leave, because there is no external service for it to reach. A hospital keeps patient records inside its own walls and still gets an assistant over them, decided by its own deployment rather than by a supplier default.

It also produces the evidence that a retention argument eventually needs. PhariaAI traces an output back to the source documents that produced it, which is what the EU AI Act asks of high-risk deployments. The price is that nothing is published, Heidelberg quotes on request, there is no self-service trial, the models are proprietary, and raw capability is below what a Google AI Pro subscriber expects.

What Aleph Alpha does better than Google Gemini

  • Deployed inside your own boundary, so no external human reviewer ever sees a conversation
  • Nothing is retained by a third party, which makes the default-window question disappear rather than shrink
  • Retrieval over your own document stores, without those documents leaving the organisation
  • Source attribution gives an auditable trail from answer back to document
  • European operation of compute, models and application layer under a single European contract

Where Aleph Alpha is a step down from Google Gemini

  • Enterprise-only and sales-led, against a consumer subscription anyone can start today
  • No published pricing, so it cannot be compared against $19.99 a month on any honest basis
  • Proprietary with no open weights, so evaluation requires a commercial engagement
  • Raw capability trails the frontier models Google puts behind Gemini

Standout against Google Gemini. It is the only option here where the sentence about human reviewers simply does not apply, because there is no outside party to do the reviewing.

aleph-alpha.com Visit Aleph Alpha
#3

DeepL

better than the thing Gemini inherited

Cologne, GermanyFree tier / from about €8.99/month#1 in Translation Services

  • Which law reaches it. EU (Germany). Google Gemini 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 Google Gemini is.
  • Independently checked. GDPR.

Best for: Anyone whose Gemini use is really translation with extra steps

Google's translation heritage is the reason a lot of people ended up asking Gemini to render a document into another language in the first place. On European language pairs that is the one comparison Google loses cleanly: DeepL's output holds the register of the original, formal or casual, which decides whether the result can be sent as written or has to be rewritten.

The retention story is also much simpler to explain to a legal team. DeepL SE processes in Cologne under GDPR, and its paid plans promise that the source text is deleted once the translation is returned. Compare that with an eighteen-month default window and a three-year retention for reviewed conversations, and for a contract, a medical letter or an internal strategy paper the choice makes itself without a policy debate.

It is deliberately narrow and that has to be said plainly. Glossaries enforce your terminology across every document, document translation preserves formatting, DeepL Write applies the same engine to improving text within one language, and the API embeds it in a product. It will not research, reason, write code or hold a conversation, it covers fewer languages than Google does overall, and the free tier does not carry the non-retention commitment.

What DeepL does better than Google Gemini

  • Stronger than Google on European language pairs, particularly at preserving register
  • Paid plans commit to not retaining the text, against an eighteen-month default and three years for reviewed chats
  • German company under GDPR, with no enterprise add-on required to get European processing
  • Glossaries keep terminology consistent across every document, which prompting cannot guarantee
  • Document translation returns formatting intact rather than plain text to rebuild

Where DeepL is a step down from Google Gemini

  • One job only; it replaces a slice of Gemini rather than Gemini
  • No research, reasoning, code or conversation
  • Fewer languages overall, and weaker on pairs outside western Europe
  • On the free tier the deletion promise does not apply, which is the whole reason to pay

Standout against Google Gemini. It is the only tool here that is better than Gemini at something Google has been doing for twenty years.

deepl.com Visit DeepL
#4

Hugging Face

the option with no account and no activity setting

Paris, France (and New York)Free tier / Pro from $9 per month / Enterprise#3 in LLMs & AI

  • Which law reaches it. US-incorporated despite French origins. Google Gemini 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 Google Gemini is not: you can read what it does rather than take the description on trust.
  • Independently checked. GDPR.

Best for: Teams willing to run the model so that no retention policy applies to them

The correction has to come first. Hugging Face Inc. is US-incorporated despite its French origins and Paris office, so its hosted services are not a European alternative to Gemini and should not be described as one on a procurement form.

Its relevance to this page is that it supplies the only approach where none of the questions above have an answer, because none of them apply.

The Model Hub distributes open weights from many labs, Transformers loads and serves them, Datasets covers training corpora, and Spaces lets you test a model against your own prompts before you commit. Serve one on your own hardware and there is no activity history, no default retention window, no review sample and no account for any of it to attach to.

That is a real position and it costs real work. You need GPU capacity or the rental of it, someone who can operate inference safely, and the judgement to tell a well-documented model from an abandoned one among hundreds of thousands on the Hub. Managed inference through the API is convenient and not the cheapest route at volume. There is a free tier, with Pro at $9 a month and an enterprise tier above it.

What Hugging Face does better than Google Gemini

  • A self-hosted model generates no history, so there is no retention window and no reviewer sample to worry about
  • Open weights from many labs, with no dependence on one company's product decisions
  • Test candidate models against your own prompts before committing anything
  • Cost follows hardware rather than a per-person subscription

Where Hugging Face is a step down from Google Gemini

  • US-incorporated, so its own hosted services do not improve your jurisdictional position
  • Requires machine-learning and infrastructure skill that most Gemini users do not have
  • Model quality across the Hub varies enormously and sorting it is your job
  • Nothing resembling Gemini's integration with the rest of a working day

Standout against Google Gemini. It is the only entry here that ends the conversation about retention settings rather than improving your position in it.

huggingface.co Visit Hugging Face

What actually breaks when you switch

Do the export before the deletion, because the order is not reversible. Google Takeout will produce an archive of your Gemini Apps Activity along with the rest of your Google data, and nothing on this page will import it. Treat it as a record you keep rather than as context that travels with you.

Then accept that cancelling a subscription is not the same as leaving. Gemini in Search, in the Docs and Gmail side panels and on an Android phone stays where it is, and the activity and regionalisation settings that govern it live in Google's admin and account controls rather than in whichever assistant you bought instead. Anyone who moves the deliberate use and skips the settings has changed their invoice and very little else.

The third problem is the one you cannot fix retrospectively. There is no way to find out which of your past conversations were selected for human review, so the three-year retention applies to a set you cannot list. Going forward that is manageable by choosing what you send where; backwards it is a fact you document and move on from, rather than a risk you can close.

If I delete my Gemini conversations, what actually disappears?

The copy tied to your Google account disappears, and that is genuinely most of it. Activity you delete stops appearing in your history and stops being used going forward, and if you have set an auto-delete window, older material is removed on that schedule without you doing anything.

What does not disappear is any conversation that was selected for human review. Google says those chats, together with associated data such as language, device type, location information and feedback, are retained for up to three years and are not deleted when you delete your activity, because they are held separately from the account.

You have no way of knowing which of your conversations were reviewed. That is the practical problem: the guarantee you can give your own compliance team is about a set you cannot enumerate. For ordinary use it is a footnote. For anything containing another person's personal data it is the whole issue.

Does Gemini keep European data in Europe?

It can, and that is newer than most comparisons acknowledge. Google lists both the Gemini app and Google Workspace with Gemini among the services its data regions policy covers, with prompts and responses protected both at rest and during processing, so an administrator can require that the work stays in Europe.

The condition is the licence. Enterprise data regions come with Frontline Plus and Enterprise Plus or through the Data Regions add-on; the Fundamental tier comes with Business Standard, Business Plus, Frontline Standard, Education Standard and Enterprise Essentials. How much is covered during processing, as opposed to at rest, varies by edition — and a personal Google account has no region control at all.

So the accurate statement is not that Gemini fails at European residency, it is that European residency for Gemini is something a large organisation buys. If that describes you, the gap between Gemini and the tools on this page is narrower than it looks, and the retention and review questions matter more than geography.

Does Google train on my Gemini conversations?

Retained conversations feed into improving Google's services, and Google is explicit that this extends to the generative AI models and other machine-learning technologies behind them. Human reviewers exist specifically to improve the Gemini models and the models powering the Gemini apps.

You can stop future conversations being used by turning Keep Activity off, which also removes the eighteen-month history. What it cannot do is retrieve material that has already been through review, for the reason given above.

The useful distinction is between training and retention. Training is what most people ask about and it is controllable. Retention is what determines whether a copy exists to be produced, reviewed or breached, and it is controlled less completely than the interface suggests.

Is a European assistant a meaningful improvement, or just a different company?

It depends entirely on which European option, and the differences between them are larger than the difference between any of them and Google. A hosted European assistant moves the jurisdiction and usually shortens the retention, and it still means a company holds a log of what you asked.

A model you run on your own hardware from open weights removes the log. There is no activity setting, no review programme, no default window, because there is no third party involved. That is a categorical change rather than an incremental one, and it is the right answer for a narrow class of work rather than for everything.

The middle option, and the one most regulated organisations actually buy, is a governed platform deployed inside their own boundary, which is what Aleph Alpha sells. It costs more than a subscription and it answers a question a subscription cannot.

Which one to pick

If your organisation is on a Workspace edition that includes data regions — and that reaches down to Business Standard, not only Enterprise Plus — start by configuring them for Gemini rather than by shopping. European storage and processing are available to you, and that removes the geography half of the objection for the price of an afternoon.

If the objection is retention rather than geography, no Google setting fully answers it, because reviewed conversations persist outside the account for up to three years. Mistral is the closest comparable assistant with a European supplier behind it, at a lower price and with the option of taking the weights onto your own hardware later.

If an outside party reading a sample of conversations is itself the problem, Aleph Alpha is the only option here that removes it structurally, and the conversation is a procurement project measured in months.

And if the documents you were most careful about were ones you wanted translated or tightened, buy DeepL for that job specifically. It is better at it than Gemini, its non-retention commitment is easier to explain than any AI privacy policy on this page, and it costs less than the subscription you are cancelling.

Frequently Asked Questions

Mistral if you want a comparable assistant and an API from a French company, with downloadable weights behind it. Aleph Alpha if you need the model inside your own boundary with an audit trail. DeepL if what you use Gemini for is mostly translating or rewriting text. Hugging Face if the real answer is to run an open model yourself, remembering that Hugging Face Inc. is itself US-incorporated.

Eighteen months by default, which you can change to three or thirty-six months or switch off. With Keep Activity turned off, chats are still held with your account for seventy-two hours. Separately, chats that human reviewers have read are retained for up to three years and are not deleted when you delete your activity, because Google stores them apart from your account.

Yes, a sample of them, to improve the Gemini models and the generative AI models behind the apps. Google says so in its privacy hub rather than hiding it, and the same is true of several competitors. The part specific to Google is what happens afterwards: the reviewed copy and its associated metadata persist for up to three years outside your account and outside the reach of the delete control.

Yes, for Workspace organisations. Google lists the Gemini app and Google Workspace with Gemini among the services covered by data regions, at rest and during processing. Which tier you get depends on your edition: Enterprise data regions with Frontline Plus, Enterprise Plus or the Data Regions add-on, and Fundamental data regions with Business Standard, Business Plus, Frontline Standard, Education Standard and Enterprise Essentials. Consumer accounts have no region control.

There is a free tier, with Google AI Pro at around $19.99 a month and higher-usage tiers above it. Google has renamed and repriced these plans more than once, so check the current page rather than a comparison article. For reference, Mistral's Le Chat Pro is $14.99 a month with Team at $24.99 per user and a $50 monthly minimum, and DeepL's paid plans start around €8.99 a month.

Yes, through Google Takeout, which produces an archive of your Gemini Apps Activity alongside the rest of your Google data. No European assistant imports it, so the archive is a record for you rather than a way of carrying context across. Export first and delete afterwards, in that order, because the deletion is not reversible and the export is not automatic.

Mostly the places it already was. Summaries in Search, the side panel in Docs and Gmail, and the assistant behaviour on an Android phone do not have equivalents outside Google, and switching assistants does not remove them. What transfers cleanly is the deliberate use: research, drafting, analysis and reasoning over documents you supply.

It is a genuine improvement and it is not the same as leaving. Turning Keep Activity off stops future chats being retained beyond seventy-two hours and stops them being used to improve the models. It does not touch the reviewed copies already held for up to three years, and it does not change which company processes the next conversation. If your concern is the future, the setting helps; if it is the record that exists, it does not.

For a defined set of documents, yes, and for general daily use, usually not. Open weights distributed through Hugging Face can be served on your own hardware, which removes the retention question completely because no external party sees the prompt.

The costs are GPU capacity, somebody who can operate inference, and a model that sits behind the frontier. The common pattern is a hosted European assistant for everyday work and a local model for the category of material you would not upload anywhere.

Who worked on this review

Three people touch every comparison page: one writes it, a second edits it, and a third checks the compliance and pricing claims against the vendor's own documentation.

Marta Kowalczyk
Written by

Marta Kowalczyk

Senior Analyst, Infrastructure & Developer Tools · Warsaw, Poland

Covers hosting, developer tooling and the practical side of moving workloads to European providers.

Ingrid Halvorsen
Edited by

Ingrid Halvorsen

Managing Editor · Oslo, Norway

Runs the review process and decides when a page is ready to publish or needs another pass.

Daniel Brandt
Fact-checked by

Daniel Brandt

Privacy & Compliance Researcher · Berlin, Germany

Checks the compliance claims: where the company is established, where the data sits, and what the DPA actually says.

Read our editorial process for how we source, verify and update these pages — and how we keep affiliate income separate from what we recommend.

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