Yes, Llama is completely free to use with no paid tiers or limitations.

How do I get started with Llama?

Visit llama.meta.com to access model downloads and documentation. Request access to model weights through Meta's official channels. For API access, use cloud providers like Together AI, Replicate, or Hugging Face Inference API. For local deployment, ...

← Back

LLMS • CURATED • UPDATED DEC 27, 2025

Llama

Q: What can I do with Llama?

Llama is designed for Open-source AI projects, Research and development, Local deployment. Llama is Meta AI's open-source large language model family with multiple versions: Llama (February 2023), Llama 2 (July 2023), Llama 3 (April 2024), Llama 3. Key strengths include Fully open-source with permissive licensing and Multiple model sizes (7B to 405B parameters).

Q: Does Llama have an API?

Yes, Llama offers an API for developers. The API is a core platform feature, enabling programmatic access to Llama's capabilities.

Q: Does Llama have an API?

Yes, Llama offers an API for developers.

Q: Is Llama open source?

Yes, Llama is open source. You can access the source code on GitHub at https://github.com/meta-llama, contribute to development, and deploy it on your own infrastructure.

Meta's open-source large language model

Llama is Meta AI's open-source large language model family with multiple versions: Llama (February 2023), Llama 2 (July 2023), Llama 3 (April 2024), Llama 3.1 405B (405B parameters, July 2024), Llama 3.3 (December 2024), Llama 4 Maverick (April 2025), and Llama 4 Scout (April 2025). Designed for research and commercial use with strong performance across text generation, reasoning, and code tasks. Available in various sizes from 7B to 405B parameters. Supports multiple languages and extended context windows. Available through Meta's official channels, Hugging Face, and various cloud providers. Open-source licensing allows for local deployment and customization.

QUICK TIPS

1 Choose appropriate model size based on your hardware and use case

2 Leverage open-source community resources and fine-tuning guides

3 Use quantized versions for efficient local deployment

4 Take advantage of extended context windows in Llama 3.1 and Llama 4

5 Explore fine-tuning capabilities for domain-specific applications

SIMILAR TOOLS

ChatGPT Claude Gemini Grok DeepSeek

USE CASE EXAMPLES

Local AI Deployment

Deploy Llama models locally for privacy-sensitive applications or offline use cases.

STEPS:

Download appropriate model size from Meta or Hugging Face
Set up inference framework (llama.cpp, vLLM, or Transformers)
Configure model parameters and context windows
Integrate into your application

Custom Model Fine-tuning

Fine-tune Llama models for specific domains or tasks using your own data.

STEPS:

Prepare your training dataset
Set up fine-tuning environment (PyTorch, Hugging Face)
Configure training parameters and hyperparameters
Train and evaluate your fine-tuned model

PRICING

Free Completely free

FEATURED IN GUIDES

→

How Do AI Image Generators Work? A Complete Guide

AI image generators create images from text prompts using diffusion models, neural networks, and machine learning. Under...

→

What is Text-to-Video AI? Complete Guide 2026

Text-to-video AI generates video content directly from text descriptions. Explore how it works, what makes it different,...

→

Free AI Tools That Actually Work in 2026

Free AI tools for image generation, video creation, music production, and more. A complete guide to high-quality free AI...

→

AI Image Generators: Which One Actually Delivers in 2026?

Comparing the best AI image generators: Nano Banana 2.0, Seedream 4.5, Midjourney, DALL-E, Stable Diffusion, and Flux. F...

→

AI Tools Pricing Guide 2026: Free vs Paid

AI tool pricing explained: comparing free, freemium, and paid options. Understanding which pricing model works best for ...

EXPLORE ALTERNATIVES

View Llama Alternatives (2026) →

Compare Llama with 5+ similar llms AI tools.

FREQUENTLY ASKED QUESTIONS

Is Llama free?

Yes, it's completely free to use with no subscription required.

What can I do with Llama?

You can use Llama for open-source ai projects, research and development, local deployment. Llama is Meta AI's open-source large language model family with multiple versions: Llama (February 2023), Llama 2 (July 2023), Llama 3 (April 2024), L...

Does Llama have an API?

Yes, it offers an API for developers to integrate into their applications and workflows.

How do I use Llama?

Llama is a large language model for text generation, analysis, and conversation. Use the API for programmatic access. Enter prompts or questions to get responses. It excels at fully open-source with permissive licensing.

Is Llama open source?

Yes, Llama is open source. You can access the source code, contribute to development, and deploy it on your own infrastructure.