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EU-Hosted LLM APIs: Compare Providers for European AI Teams

Data residency, GDPR posture, OpenAI compatibility and pricing — benchmarked for teams that can't ship prompts outside the EU.

Last updated May 2026. Provider details change — verify before committing.

If you're building AI features for a European customer base, data residency is not optional. GDPR requires a legal basis for every data transfer outside the EEA. US-hosted AI APIs — even with EU-region options — drag US parent companies into your processor chain, and those companies are subject to CLOUD Act and FISA 702 requests that override any contractual commitment.

The practical answer is to pick an inference provider whose entire stack is EU-jurisdictional. Below I've compared the five providers my team evaluated in Q1 2026 — JuiceFactory, Mistral, Scaleway, Nebius, and Azure OpenAI. The table focuses on the three things that matter for infra decisions: where the compute lives, how complete the OpenAI compatibility is, and how painful the DPA process is.

Provider comparison (2026)

ProviderRegionGDPR postureOpenAI compat.Pricing modelDPA
JuiceFactoryrecommendedSweden (EU)Native — zero retentionFullUsage-based, no markup tiersIncluded
Mistral AIFrance (EU)Good — EU DPA availablePartialTiered by modelOn request
ScalewayFrance (EU)Good — EU infraPartialCompute + inferenceIncluded
Nebius AIFinland (EU)Good — EU infraPartialGPU-hour + tokensOn request
Azure OpenAIVarious (incl. EU)Complex — US parentFullEnterprise contractsGDPR addendum required

"Full" OpenAI compatibility = /v1/chat/completions, /v1/embeddings, streaming, function calling, and logprobs all work without client-side shims.

What actually differentiates EU providers

Jurisdiction, not geography

A datacenter in Ireland run by an American company is not GDPR-clean. The legal entity that processes your data determines which law applies. Look for providers incorporated and operating under EU member-state law.

Zero-retention by default

Most providers log prompts for abuse detection or model improvement. Zero-retention means the request is processed in memory and not written to disk. This needs to be in the DPA — a marketing claim is not enough.

OpenAI drop-in compatibility

Partial compatibility means you will hit edge cases in function calling, streaming, or logprobs. Full compatibility means you change two lines of code and your existing test suite passes.

Sub-processor transparency

Under GDPR Article 28, your provider must disclose their sub-processors. CDN, GPU compute, and object storage are all sub-processors. If the list includes US-HQ companies without SCCs, that is a legal gap.

Related guides and comparisons

FAQ

What makes an LLM API "EU-hosted"?

The inference compute must physically reside in EU/EEA datacenters, the data processor must be a legal entity subject to EU law, and there must be a signed Data Processing Agreement (DPA) under GDPR Article 28. Hosting on an EU region of a US hyperscaler does not fully satisfy GDPR when the parent company is subject to US surveillance law (CLOUD Act, FISA 702).

Does OpenAI-compatibility matter if I stay in the EU?

Yes. OpenAI-compatible REST APIs let you swap base_url and API key without rewriting application code. Libraries like LangChain, LlamaIndex, Instructor, and most IDE plugins speak the OpenAI schema natively. A provider that requires a proprietary SDK adds integration overhead and lock-in.

How do I verify data residency claims?

Request the sub-processor list from your provider (required under GDPR Article 28(3)(d)). Check that every compute sub-processor is EU/EEA-based or covered by Standard Contractual Clauses. For JuiceFactory, the full sub-processor list and DPA are available at portal.juicefactory.ai.

Is zero-retention inference actually zero retention?

For JuiceFactory: requests are processed in memory and not persisted to disk or any logging system after the response is delivered. No training on customer data. The DPA codifies this obligation. Compare this to default OpenAI API behaviour which retains prompts for 30 days for abuse monitoring.

What latency should I expect from a Sweden-based API?

Round-trip from major EU cities (Frankfurt, Amsterdam, Paris, Stockholm) is typically 20–60 ms network overhead. Time-to-first-token depends on model size and batch load — comparable to US-east hosted providers for European clients, often faster because you avoid transatlantic routing.

Start with EU-native inference today

Free tier, no credit card. Change two lines of code. Your data stays in Sweden.