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.

Updated Copy as Markdown
In this article

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
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 $0.28 $0.42 164K 1.1× cheaper
Mistral Small 4 $0.15 $0.6 262K 1.1× cheaper
Qwen3.8 Flash $0.15 $0.47 1M 1.3× cheaper
Qwen3.8 Omni Flash $0.15 $0.47 1M 1.3× cheaper
GPT-6 Luna $0.1 $0.5 1.05M 1.4× cheaper

Other Meta models#

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.

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.

Was this helpful?