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.
WikipediaSpecs
- 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 documents — Handles extensive text inputs without requiring segmentation.
- →Creating multimodal presentations — Generates cohesive text and image outputs seamlessly.
- →Developing advanced dialogue systems — Processes long multi-turn conversations while maintaining coherence.
- →Summarizing academic research — Excels at comparing and synthesizing insights from detailed papers.
- →Image captioning — Produces 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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