Hvem der bygger hver model, hvem der driver den, hvor virksomheden er registreret, og hvilke af dens modeller LLM EU hoster. En udbyderside viser også rettelser og åbne spørgsmål.
DE · 2 Modeller
Europæiske udbydere
German model developer known for the Pharia-1-LLM family and the PhariaAI stack. Weights of the 7B control models are published on Hugging Face under a research-only licence, while commercial use runs through an on-premise agreement.
German company (Aleph Alpha GmbH, Heidelberg) subject to EU and German law; it markets sovereign on-premise deployments to European public-sector and industrial customers.
PT · 3 Modeller
Europæiske udbydere
European research project building open language models for all EU languages plus a set of additional languages. Weights and model cards are published openly under the utter-project organisation.
EU-funded research consortium led from Instituto Superior Técnico in Lisbon; the partners are European universities and companies, and the work is funded by the European Union rather than by a single commercial parent.
DE · 1 Modeller
Europæiske udbydere
The company behind this catalogue. LLM EU operates the router and the EU hosting layer, and has announced a first-party model, LLMEU V2, that is not built yet. Its own entries are listed here under the same evidence rules as every other provider: what is not published is marked unverified.
LLM EU is a private company, not an EU body, agency or institution. It publishes a catalogue, routes inference under policy, and intends to host first-party models on European infrastructure. Nothing in this catalogue implies an official status or an assessment by a public authority.
FR · 10 Modeller
Europæiske udbydere
French model developer that publishes both open-weight and commercially licensed models. Its line-up covers general instruct models, small edge models, a code model and audio models.
French company (Mistral AI, Paris), so the controller is bound by EU law and by the French implementation of the GDPR.
CZ · 2 Modeller
Europæiske udbydere
EU-funded project that plans to release a series of openly documented foundation models for European languages, including training data documentation and evaluation code. As of September 2026 no model weights have been released.
Consortium of European universities, HPC centres and companies, funded by the EU Digital Europe Programme under grant agreement 101195233; there is no single commercial parent company.
DE · 1 Modeller
Europæiske udbydere
German publicly funded project that trained the Teuken-7B model family on all 24 official EU languages. The released checkpoints are research licences rather than permissive open-source licences.
German research consortium (Fraunhofer, Forschungszentrum Jülich, TU Dresden, DFKI) funded by the German Federal Ministry for Economic Affairs and Climate Action, so the work falls under German and EU law.
CN · 5 Modeller
Alibaba’s Qwen team publishes one of the broadest open-weight families, covering dense and mixture-of-experts text models, vision-language models, coder models and retrieval components.
Chinese company subject to Chinese law, including data and security regulations that apply to the parent group; the checkpoints listed in this catalogue are published under Apache-2.0.
CA · 4 Modeller
Canadian lab whose Command line targets retrieval-augmented generation and tool use, and whose Aya line covers 23 languages with a European-language emphasis.
Canadian company subject to Canadian law; the open Command and Aya checkpoints use CC-BY-NC-4.0, which excludes commercial serving, while the newer Command A+ release is Apache-2.0.
CN · 4 Modeller
Chinese lab that publishes large mixture-of-experts models and reasoning models under the MIT licence, including distilled variants small enough to run on a single server.
Chinese company (Hangzhou) subject to Chinese law; its published weights use the MIT licence, but the hosted API and the company itself are outside EU jurisdiction.
US · 4 Modeller
Publisher of the Gemma open-weight family, including multimodal and audio-capable small models and an embedding model for retrieval.
US parent company subject to US law; Gemma weights ship under Google’s own Gemma terms rather than an OSI licence, and the Gemma 4 generation is published under Apache-2.0.
US · 4 Modeller
Publisher of the Llama family, the most widely deployed open-weight model line. Weights are released under the Llama community licences, which permit commercial use below a monthly-active-user threshold and add acceptable-use terms.
US company subject to US law; the Llama community licences are governed by California law and add use restrictions, and Meta platforms outside the EEA are the contracting entity for licensees outside the EEA and Switzerland.
US · 3 Modeller
Publisher of the Phi small-model family, including a multimodal variant with speech input, and of the multilingual-e5 text embedding model.
US company subject to US law; the Phi models are released under MIT, while Microsoft’s EU data-boundary commitments apply to its cloud services, not to the self-hosted weights.
US · 3 Modeller
Publishes the Nemotron family of open-weight models and rerankers, aimed at long-context retrieval and agentic workloads, together with the evaluation harnesses used to score them.
US company subject to US law; the Nemotron weights carry the NVIDIA Nemotron Open Model License, a vendor licence rather than an OSI-approved one.
US · 4 Modeller
US lab that released the gpt-oss open-weight reasoning models and the Whisper speech-recognition family. Those two lines are the parts of its catalogue that can be self-hosted.
US company subject to US law; only some models are published as open weights, and those carry the Apache-2.0 or MIT licence independent of OpenAI’s own terms of use.
CN · 3 Modeller
Chinese lab publishing the GLM family, including very large mixture-of-experts models, small flash models and a dedicated OCR model.
Chinese company subject to Chinese law; the GLM weights have moved between MIT and bespoke Z.ai licences, so each checkpoint has to be checked individually before commercial serving.