Llama vs Mistral
Both are open and self-hostable; Llama wins on ecosystem breadth, Mistral on efficiency and European data governance. Mistral's larger context also makes it the easier fit for document-heavy on-prem work.
| Llama | Mistral | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Current release | Llama | Mistral |
| Tier | Open weights | Open weights |
| Context | 128K | 256K |
| Cost | Free tier | Low cost |
| Modalities | text, vision | text, vision |
| Open weights | Yes | Yes |
Cost is a tier, not a quote — providers change prices often. Check Meta and Mistral AI before you commit. Last updated 2026-08-14.
Which one to pick
LlamaMeta
Running locally or self-hosting — private, free to run, no vendor lock-in
Reach for it when- The widest selection of tooling and community fine-tunes
- You want the most-documented path
MistralMistral AI
Efficient European open models for building without heavy lock-in
Reach for it when- On-prem deployments with EU data requirements
- Longer inputs without leaving the open tier