
Llama
Llama is Meta's open model family: downloadable weights, runnable locally or in the cloud, the foundation for countless AI products.
Llama is Meta's family of open language models and a key reason why locally run AI is commonplace today. The weights are available for download; with over 650 million downloads, Llama forms the foundation for countless products, startups, and research projects.
Llama is ideal when data must remain on-premises: for chatbots handling patient data, document analysis in law firms, or AI functionalities in proprietary software without ongoing API costs. Its strength lies in its ecosystem, from Ollama on a laptop to ready-made endpoints on AWS.
Qualitatively, the top models from OpenAI, Anthropic, and Google are ahead. Among open models, Mistral often offers better German language support along with a clearer Apache license. Furthermore, there's uncertainty: Meta restructured its AI strategy in 2026, and the path forward for open Llama releases is currently unclear.
Ideal for teams with developers and strict data privacy regulations. Anyone just looking for a work assistant should use ChatGPT, Claude, or a platform like Langdock and save themselves the infrastructure overhead.
Functions
- Over 650 million downloads: largest ecosystem among open models
- Full data control: inference entirely within your own data center
- No token costs with self-hosting, only hardware and electricity
- Community variants for specialized cases, from medicine to code
- Llama license with commercial use for almost all companies
Core Functions
- Downloadable Open Model Weights for Text and Vision Tasks
- Model Sizes from 1B Models for Smartphones to Frontier-Class
- Run Locally via Ollama, Hugging Face, or Your Own Servers
- Fine-tuning on Your Own Data and Specialized Language
- Available on All Major Cloud Providers such as AWS and Google Cloud
Alternativen zu
Llama
Grok
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Mistral
Mistral AI is Europe's best-known AI lab: open and commercial models, plus its assistant Le Chat, hosted in the EU.

Open Claw
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