# Meta Llama

## Kurzbeschreibung
**Llama **is Meta's family of generative foundation models for text and, in part, image/text understanding. 


Meta positions Llama as a flexibly deployable model series that can be fine-tuned, distilled, and deployed “anywhere”; this includes self-hosting, private cloud, and hosting through partners. Llama 4 brings native multimodality, while Llama 3.x continues to address important text, coding, translation, and agent use cases.

## Claim
LLM “Industry Leading, Open-Source AI”

## Geeignet für
- API Integration
- Automation / Workflows
- Data Extraction / Document Analysis
- Customer Service & Chatbots
- Programming / Software Development
- Research
- Writing & Editing
- Texts / Content
- Translations
- Knowledge Management / Internal Search

## Kernfunktionen
- Function Calling
- LLM API
- Model Training
- Multimodal AI
- Open Source Model
- Programming
- Language Model
- Text Generation

## Preismodell
- **free:** **Llama model weights / Download** Llama models can be downloaded, fine-tuned, distilled, and self-hosted under the Meta license; infrastructure costs for self-hosting are incurred separately.


**Meta Llama API Preview / Waitlist **The Llama API is officially positioned via waitlist/login; I could not reliably substantiate a permanently freely usable public API free version with guaranteed limits.
- **other:** **Managed Llama API** API access to current Llama models, API key, playground, SDKs, OpenAI-like integration, tool calling, and models such as Llama 4 Maverick/Scout according to the official Llama API page.


**Self-hosting / own cloud / edge** Operation of the model weights on your own infrastructure, with cloud providers, or locally; suitable for data protection, cost control, and individual optimization.


**Cloud provider / third-party hosting** Llama models are available through various cloud and inference providers; data protection, pricing, and server locations then depend on the respective provider.


**Fine-tuning / distillation / Llama Stack** Customization and integration into your own AI architectures, depending on the model license, infrastructure, and technical setup.

## DSGVO und Datenschutz
**Gesamteinschätzung:** unklar / nicht verfügbar

**On-prem / local hosting: unclear**

Cannot be verified, as there were no reliable search results from www.llama.com.

**Private cloud / data center: unclear**

Cannot be verified, as there were no reliable search results from www.llama.com.

**EU SaaS / Managed: unclear**

Cannot be verified, as there were no reliable search results from www.llama.com.

**Hybrid: unclear**

Cannot be verified, as there were no reliable search results from www.llama.com.

**AVV / DPA: unclear**

Cannot be verified, as there were no reliable search results from www.llama.com.

**No training: unclear**

Cannot be verified, as there were no reliable search results from www.llama.com.

**Open Source / Transparency Path: unclear**

Cannot be verified, as no reliable search results were found on www.llama.com.

**Data Processing**

Due to the lack of verifiable subpages on www.llama.com via the web search tool, no reliable information regarding data processing could be obtained exclusively from provider sources.

**Conclusion**

For an EU/EEA tool directory, the documentation available through the search resources used here is insufficient. Therefore, the GDPR/hosting assessment can currently only be classified as unclear.

I cannot reliably perform the requested evaluation based on web search results from www.llama.com because the available web search tool did not return any results from that domain. Since only information from www.llama.com may be used and no third-party sources are permitted, a reliable assessment is not possible on this basis.

**Positive**

Not specified on the website.

**Negative**

Privacy policy, server locations, Terms of Service/Data Protection Agreement, subprocessors, EU data residency, opt-out from AI training, and certifications could not be verified via the domain search.

**Server location**

Not specified on the website.

## Hosting und Daten
- **On-Prem / lokales Hosting:** unknown
- **Private Cloud / Rechenzentrum:** unknown
- **EU SaaS / Managed:** unknown
- **Hybrid:** unknown
- **AVV / DPA:** unknown
- **Kein Training auf Kundendaten:** unknown
- **Open-Source / Transparenz-Pfad:** unknown

## Standort
**Land:** USA

**Taxonomie:** USA

Meta Platforms, Inc., 1 Meta Way, Menlo Park, California 94025, USA.

## Vorteile
- – Very flexible deployment paths: local, data center, private cloud, public cloud, managed provider.
- – Broad model portfolio ranging from small/edge-capable models to large enterprise models.
- – Well suited for coding, summarization, translation, tool use, RAG, and chatbots.
- – Strong ecosystem fit across providers, GitHub, Hugging Face, and partner hosting.

## Nachteile
- – No mature “all-in-one” business SaaS like with classic workplace tools; additional integration effort is usually required.
- – The license is not unrestricted: among other things, there is a special rule for providers with >700 million monthly active users.
- – “Open source” is legally disputed; the OSI does not regard Llama as open source under its definition.
- – For Meta’s own Llama API, no clear, Llama-specific pricing transparency is publicly documented.

## Quellen
- Offizielle Website: https://www.llama.com/

## Letzter Datenstand
2026-04-24

## Originalseite
https://kifox.ai/en/ki-tools/meta-llama-en/