What is Llama (Meta)?
Llama is a family of open Large Language Models developed by Meta. The newer Llama 4 models, including Scout, Maverick, and Behemoth (in preview), are inherently multimodal. Llama 4 Scout is notable for an unprecedented 10-million-token context window, making it highly effective for extensive document analysis and codebase reasoning. The Llama 4 series exhibits improved multi-step logical processes, enhanced long-context performance, and benefits from expanded multilingual datasets. Its open-weight nature provides greater flexibility and customization potential for developers.
Founded
2023
Company
Meta
Category
Chat & Assistants
Last Updated
1/15/2024
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Llama (Meta) Pricing & Plans
Pricing Overview
Llama (Meta) Pros and Cons
✅ Pros
- Completely open and free to use
- Massive context windows (10M tokens)
- Can run locally for privacy
- Commercial use permitted
- Strong developer community
❌ Cons
- Requires technical expertise to deploy
- Hardware requirements for local use
- No built-in safety guardrails
- Limited official support
Best Use Cases for Llama (Meta)
Is Llama (Meta) Right for You?
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Technical Specifications
API Available
Yes
Platform Support
Local deployment, Cloud platforms, API services
Languages
English, Spanish, French +4 more
Integrations
Hugging Face, Ollama, LM Studio +1 more
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Frequently Asked Questions
Is Llama (Meta) free to use?
Yes, Llama (Meta) offers a free plan with basic features.
What are the main features of Llama (Meta)?
The key features include Open-weight LLM family, Multimodal capabilities (Llama 4), Unprecedented 10M token context window (Scout), and many more advanced capabilities.
Who should use Llama (Meta)?
Llama (Meta) is ideal for Large-scale document analysis and Codebase understanding and refactoring, among other applications.
Does Llama (Meta) have an API?
Yes, Llama (Meta) provides an API for developers.
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