2025 AI Models in Europe: Multilingual, Open and Enterprise Ready
Europe’s AI ecosystem is a strong stage for open innovation, multilingual capabilities and enterprise-level reasoning in 2025. Below, we provide in-depth, fact-checked reviews of the region’s most advanced AI models and feature technical specifications, licensing and excellent advantages. Each entry includes a link to the official model information for further exploration.
1. Mistral AI (France)
Founded in Paris in 2023, Mistral AI is the main force in open LLM. Their models are recognized with a mixture of efficiency, expert (MOE) architectures and competitive benchmarks. It is worth noting that Mistral focuses on maximizing parameters and broad background support.
Famous Model (2025):
Model | parameter | Context window | Key Features | license |
---|---|---|---|---|
Mistral Small 3.1 | 24b | 128K token | Multi-mode text and image, fast output | Apache 2.0 |
Mix 8x7b | 56B Moe | 32K token | Cute, highly language performance | Apache 2.0 |
Small 1/1.1 | 24b | 40k tokens | Reasoning Optimization | Apache 2.0 |
Smaller 1 | 24b | 128K token | Open source centered on encoding | Apache 2.0 |
Codestral | 12b+ | 256K token | Advanced code tasks | Apache 2.0 |
Mistral Medium 3.1 | border | 128K token | Multi-mode, enterprise ready | API only |
Advantages:
- High performance per parameter; efficient and scalable architecture.
- Enterprise, reasoning and coding specialization.
- Open weight 2.0 license for key models
2. AlephAlpha (Germany)
Heidelberg-based Aleph Alpha has developed sovereign LLM, focusing on multiple languages, interpretability and compliance with EU regulations.
Famous Model (2025):
Model | parameter | Main language | feature | license |
---|---|---|---|---|
Glowing | All kinds of | 5 EU languages | Semantic representation, embedding | Business/API |
PHARIA-1-LLM-7B control | 7b | German, French, Spanish | Open source, multilingual corpus | Open the Aleph license |
Advantages:
- Emphasize interpretable and secure AI pipelines.
- EU AI ACT compliance, data sovereignty and support for public sector applications.
- The Open Aleph license supports non-commercial/educational uses with full transparency.
3. Velvet AI (Italy – Almawave)
Velvet Models are developed by Almawave and trained on Leonardo Supercupter, emphasizing sustainability, multilingual coverage and a wide range of industry applications.
Technical Specifications (2025):
Model | parameter | Context window | language | feature | license |
---|---|---|---|---|---|
Velvet 14b | 14b | 128K token | It, de, es, fr, pt, en | Training on 4T+ token | Apache 2.0 |
Velvet-2B | 2b | 32K token | It, en | High efficiency, small size | Apache 2.0 |
Advantages:
- Environmentally friendly architecture with extensive European language coverage.
- Optimized for health care, finance and public management.
- Open source and transparency spirit.
4. Minerva (Italy)
Minerva is the first LLM series based on Italian data in Italy and is a collaboration between Sapienza NLP, Fair and Cineca.
Notable models:
Model | parameter | Training Token | language | feature | license |
---|---|---|---|---|---|
Minerva 7b | 7.4b | 2.5t | It/en | 50/50 data balance; instruction adjustment | Open source |
Advantages:
- Designed for Italian and English language performances.
- Transparent open training data; instruction adjustments to safer output.
5. EUROLLM-9B (EU)
A pan-European initiative supporting all 24 official languages, including 11, issuing on basic and directive forms.
Model Overview:
Model | parameter | Languages covered | Training Token | license |
---|---|---|---|---|
EUROLLM-9B | 9b | 35 (24 EU + 11 extra) | 4T+ | Open source |
EUROLLM-1.7B | 1.7b | 35 | multilingual | Open source |
Advantages:
- Unrivaled open multilingual coverage.
- In translation and reasoning benchmarks, it outperforms similarly sized open models.
- Synthesize datasets, EuroFilter technology for balancing languages.
6. Leiden (France)
Paris-based Leiden offers enterprise-class, local, privacy-focused generative AI. In 2024, it became the first AI-producing startup in Europe to open an IPO.
Model Summary:
Advantages:
- Supports fully private on-premises deployments.
- Integrated domain specialization and optical computing research.
Comparison table
Model | parameter | Context window | Support language | license | Key Advantages |
---|---|---|---|---|---|
Mistral Small 3.1 | 24b | 128K token | en, multimodal (image) | Apache 2.0 | Efficiency, multi-mode |
Mix 8x7b | 56b | 32K token | multilingual | Apache 2.0 | Moe, benchmark leader |
Referee small | 24b | 40k tokens | en, multilingual | Apache 2.0 | reasoning |
Separated small | 24b | 128K token | Encoding, en | Apache 2.0 | Software Agent, Code |
Velvet 14b | 14b | 128K token | it/de/fr/es/pt/en | Apache 2.0 | Sustainability, multilingual |
Velvet 2b | 2b | 32K token | It/en | Apache 2.0 | Lightweight and efficient |
Minerva 7b | 7.4b | 32K-128K* | It/en | Open source | Research, Code, Italian Focus |
EUROLLM-9B | 9b | 32K-128K* | 35 (EU+Extra) | Open source | Multilingual Open Benchmark |
Pharia 1 LLM | 7b | 32K* | de/fr/es | Open Aleph | Multilingual, EU compliance |
*Minerva and Eurollm’s context window size may vary by implementation and release.
in conclusion
European AI advances in 2025 reflect an environment of concern Openness, sustainability, multilingual support and compliance. Mistral leads with agile performance model; Aleph Alpha pioneer interpretability and data sovereignty; Minerva and Velvet in Italy introduce national languages and sustainable training; Eurollm sets standards for inclusion; Leiden provides enterprise-level privacy solutions.
These collective efforts position Europe as an increasingly influential player in AI globally, especially in areas of multilingual, ethical innovation and technological openness.
Asif Razzaq is CEO of Marktechpost Media Inc. As a visionary entrepreneur and engineer, ASIF is committed to harnessing the potential of artificial intelligence to achieve social benefits. His recent effort is to launch Marktechpost, an artificial intelligence media platform that has an in-depth coverage of machine learning and deep learning news that can sound both technically, both through technical voices and be understood by a wide audience. The platform has over 2 million views per month, demonstrating its popularity among its audience.