# Llama 4 Maverick: API price, context window and how to connect

Llama 4 Maverick by Meta: $0.188 per million input tokens, $0.652 per million output tokens, a 1.05M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

## In short

Meta's multimodal mixture-of-experts model: 128 experts, 17 billion active parameters. Open weights, knowledge up to August 2024.

## Specifications

| | |
|---|---|
| Provider | [Meta](https://skillok.org/docs/en/ai-models/providers/meta) |
| Released | 2025-04-05 |
| Context window | 1.05M tokens |
| Accepts | text, images |
| Answers with | text |
| Reasoning mode | no |
| Tool calling | yes |
| Open weights | yes |
| Knowledge up to | 2024-08 |
| Identifier | `meta-llama/llama-4-maverick` |

## Price

| Per 1M tokens | In dollars |
|---|---|
| Input (question, context) | $0.188 |
| Output (answer) | $0.652 |

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about **$0.012**. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

## What it is good for

* An open model with images as input
* Running it yourself
* Simple tasks for little money

## Similar models

Catalog models with the same kind of output, closest in the price of a typical request.

| Model | Input | Output | Window | Price |
|---|---|---|---|---|
| [DeepSeek V3.2](https://skillok.org/docs/en/ai-models/models/deepseek-v3-2) | $0.28 | $0.42 | 164K | 1.1× cheaper |
| [Mistral Small 4](https://skillok.org/docs/en/ai-models/models/mistral-small-2603) | $0.15 | $0.6 | 262K | 1.1× cheaper |
| [Qwen3.8 Flash](https://skillok.org/docs/en/ai-models/models/qwen3-8-flash) | $0.15 | $0.47 | 1M | 1.3× cheaper |
| [Qwen3.8 Omni Flash](https://skillok.org/docs/en/ai-models/models/qwen3-8-omni-flash) | $0.15 | $0.47 | 1M | 1.3× cheaper |
| [GPT-6 Luna](https://skillok.org/docs/en/ai-models/models/gpt-6-luna) | $0.1 | $0.5 | 1.05M | 1.4× cheaper |

## Other Meta models

* [Llama 4 Scout](https://skillok.org/docs/en/ai-models/models/llama-4-scout)
* [Llama 3.3 70B Instruct](https://skillok.org/docs/en/ai-models/models/llama-3-3-70b-instruct)

## How to connect in SKILLOK

Llama 4 Maverick works through OpenRouter: add an OpenRouter key in **Settings → AI** and pick the `meta-llama/llama-4-maverick` model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — [Connecting a model in SKILLOK](https://skillok.org/docs/en/ai-models/connecting-in-skillok).

## Where the data comes from

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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https://skillok.org/docs/en/ai-models/models/llama-4-maverick