# Meta: Llama models

Llama is Meta's family of open models — they can run on your own hardware or through providers. What they are good at, limitations and how to connect them in SKILLOK.

## Who they are

**Meta** releases the **Llama** family — models with open weights. They can be downloaded and run on your own hardware or used through cloud providers.

## Models

* **Llama** of different sizes — from small ones that run on a laptop to large ones for servers.
* Thousands of fine-tuned community models are built on Llama.

The exact list and versions change often — current models are visible in the list when you connect a key in SKILLOK, and in the [model catalog](https://skillok.org/docs/en/ai-models/models).

## What they are good at

* Open weights mean full control: data does not go to a third party if the model runs on your side.
* A large community and many fine-tuned versions for specific tasks.

## Access from Russia

The weights can be downloaded and run anywhere; cloud providers of Llama are available through intermediaries such as OpenRouter.

## Models in the catalog

Prices, context window and comparison with similar models:

* [Llama 4 Maverick](https://skillok.org/docs/en/ai-models/models/llama-4-maverick) — $0.188 / $0.652 per million tokens
* [Llama 4 Scout](https://skillok.org/docs/en/ai-models/models/llama-4-scout) — $0.1 / $0.3 per million tokens
* [Llama 3.3 70B Instruct](https://skillok.org/docs/en/ai-models/models/llama-3-3-70b-instruct) — $0.1 / $0.32 per million tokens

## How to connect in SKILLOK

Llama models work in SKILLOK **through OpenRouter** — a `meta-llama/…` model. Connecting your own server with a model is planned.

In detail — [Connecting in SKILLOK](https://skillok.org/docs/en/ai-models/connecting-in-skillok).

## Prices

Prices per million input and output tokens are on the [official page](https://www.llama.com/). Through OpenRouter the prices are the same or close; how much you spent is shown in **Settings → AI**.

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https://skillok.org/docs/en/ai-models/providers/meta