Meta Llama
Meta's open-source model family with Llama 4 Scout and Maverick
Llama is Meta's family of open-source language models. Llama 4 introduces Scout (17B/109B MoE, record-breaking context) and Maverick (17B/400B MoE, very large context). The even more massive Behemoth model is in preparation, along with Avocado, a closed-source model.
Meta Llama is an artificial intelligence tool in the Chatbots & AI Agents category, developed by Meta and launched in 2023. Llama is Meta's family of open-source language models. Llama 4 introduces Scout (17B/109B MoE, record-breaking context) and Maverick (17B/400B MoE, very large context). The even more massive Behemoth model is in preparation, along with Avocado, a closed-source model. Key features include: Llama 4 Scout (17B/109B MoE, 10M context), Llama 4 Maverick (17B/400B MoE, 1M context), Fully open-source, Free commercial use, Free fine-tuning, Massive community. The tool is available on api with a free pricing model.
💰 Pricing
✨ Features
🎯 Use Cases
- On-premise deployment
- Commercial applications
- AI research
- Custom chatbots
- Very long context applications
⚖️ Pros & Cons
👍 Pros
- Llama 4 Scout offers a record-breaking context window — the largest available in open-source, ideal for analyzing massive documents
- Efficient MoE architecture — Maverick activates only 17B of its 400B parameters, top-tier performance at reduced cost
- Self-hostable with full data control — no transfer to third parties, ideal for sensitive data
- The most extensive ecosystem on the market — available on Hugging Face, Ollama, Together, Groq and all major clouds
- Permissive license allowing commercial use without restrictions — free even for very large enterprises
👎 Cons
- Requires significant GPU resources for large models — Maverick 400B is inaccessible without a datacenter
- Fine-tuning required to match commercial model quality on specific tasks
- Mixed strategy with Avocado closed-source — Meta may reduce open-source investment over time
🏆 Verdict
In summary, Meta Llama stands out in the chatbots & ai agents AI landscape thanks to its strengths: llama 4 scout offers a record-breaking context window — the largest available in open-source, ideal for analyzing massive documents, efficient moe architecture — maverick activates only 17b of its 400b parameters, top-tier performance at reduced cost, self-hostable with full data control — no transfer to third parties, ideal for sensitive data. However, some users note: requires significant gpu resources for large models — maverick 400b is inaccessible without a datacenter, fine-tuning required to match commercial model quality on specific tasks. If you're looking for alternatives, you can compare Meta Llama with DeepSeek, Le Chat (Mistral), Qwen. Our overall rating: 4.4/5.
ℹ️ Information
| Company | Meta |
|---|---|
| Launched | 2023 |
| Platforms | API |
| Category | Chatbots & AI Agents |
| Site | https://llama.meta.com |