What Is Meta's Llama Model and Is It Free to Use?

Llama Is Meta’s Open-Weight Model Family

Llama is the name Meta has given to its family of large language models, released in successive versions and in multiple sizes to suit different needs, from lightweight models that can run on modest hardware to larger versions built for more demanding reasoning tasks. Unlike some competing AI labs that keep their models fully closed and accessible only through a paid API, Meta has chosen to release Llama’s model weights openly, meaning developers can download the actual model files and run them on their own infrastructure.

This openness is the defining characteristic of Llama compared to many of its peers. Rather than needing to send data to Meta’s servers through an API call and pay per use, an organization can host a Llama model itself, which offers more control over data handling and customization, at the cost of needing to manage the computing infrastructure to run it.

Why Meta Chose an Open Approach

Meta has positioned open-weight models as a deliberate strategic choice, arguing that broad access encourages faster innovation, a wider ecosystem of tools built around the models, and more scrutiny of how the models behave, since outside researchers and developers can inspect and test them directly. This differs from the strategy of AI labs that treat their model weights as closely guarded intellectual property accessible only through hosted services.

That said, “open” in Llama’s case refers to open weights, not necessarily every aspect of how the model was built — the release generally does not include the full training data or the exact training process, distinguishing it from a fully open-source project in the strictest software sense. The terms of use are set out in Meta’s community license, which allows broad use, including commercial use for most organizations, while including specific conditions worth reviewing directly.

What “Free” Actually Means Here

Because Llama models can be downloaded without a licensing fee for most users, many people describe them as free. The more accurate framing is that the license itself doesn’t charge for use, but running a large language model still requires computing hardware, and larger Llama models can require substantial resources to run efficiently. Someone experimenting locally on a personal computer with a smaller Llama model faces a very different cost picture than a company deploying a large Llama model across production infrastructure for many users. Additionally, Meta’s own consumer chatbot, Meta AI, offers a hosted way to interact with Llama-based models without any setup, similar in spirit to visiting a chatbot website rather than downloading and running the model yourself.

Bottom Line

Llama is Meta’s family of open-weight large language models, and it’s free to download and use under Meta’s community license for most individuals and businesses, though actually running the models at scale still requires computing resources.