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Meta · Llama 4

Llama 4 Maverick

The bigger Llama 4 — frontier quality you can self-host.

Llama 4 Maverick is a flagship AI model developed by Meta, belonging to the Llama 4 family. Designed for developers and product teams, it offers advanced natural language and multimodal processing, excelling in understanding and generating both text and image-based content.

A standout feature of Llama 4 Maverick is its vast context window of 1,048,576 tokens, enabling it to process lengthy and complex inputs with exceptional coherence. Its architecture is optimized for scalable interactions, allowing seamless integration of text and image inputs for diverse applications, from research synthesis to content creation.

Llama 4 Maverick represents Meta's flagship model in the Llama 4 series, providing substantial advancements over previous iterations. It features an expanded context capacity exceeding 1 million tokens, improved multimodal functionality for combined text and image processing, and enhanced scalability for large datasets.

Background

Llama is a family of large language models (LLMs) released by Meta AI starting in February 2023.

Wikipedia

Specs

Context window
1.0M tokens
Max output
16K tokens
Input ($/1M tokens)
$0.150
Output ($/1M tokens)
$0.600
Modalities
Text · Image
Released
Apr 5, 2025
Weights
Open

Pricing last synced Apr 27, 2026 via OpenRouter. Confirm against official docs before committing.

Capabilities

  • Tool use
  • Vision
  • Extended thinking
  • Prompt caching
  • Open weights

What it excels at

  • Large context capacity

    Processes up to 1,048,576 tokens without loss of coherence.

  • Multimodal functionality

    Efficiently handles and generates content combining text and images.

  • Scalable architecture

    Designed to manage large-scale applications with hefty data inputs across domains.

  • Versatile applications

    Supports diverse tasks, including content creation, research, and data analysis.

When to use this model

  • Analyzing lengthy documentsHandles extensive text inputs without requiring segmentation.
  • Creating multimodal presentationsGenerates cohesive text and image outputs seamlessly.
  • Developing advanced dialogue systemsProcesses long multi-turn conversations while maintaining coherence.
  • Summarizing academic researchExcels at comparing and synthesizing insights from detailed papers.
  • Image captioningProduces descriptive text captions for visual inputs.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.

API model id

meta-llama/Llama-4-Maverick

Vendor docs: www.llama.com

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