Meta: Llama 4 Maverick

Provided by OpenRouter

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

Specifications

Context Length
1,048,576 tokens
Input Price
$0.150/M
Output Price
$0.600/M
Vision Support
Yes
Capabilities
TextVision

About Meta: Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

Strengths

  • Multimodal understanding - can process text and images
  • Large context window (1049k tokens) for long conversations

Use Cases

  • Image and document understanding
  • Content creation and writing assistance
  • General conversations and Q&A

Limitations

Performance may vary based on query complexity, context length, and task type. Consider using higher-tier models for production-critical applications.

Sample Prompts

Try these prompts to explore Meta: Llama 4 Maverick's capabilities:

Analyze this image and describe what you see in detail

Extract the key information from this screenshot

Compare the two images and explain the differences

Tip: Customize these prompts to fit your specific needs and use cases.

Premium Model

This model requires credits to use. Meta: Llama 4 Maverick offers advanced capabilities and high-performance features for production-grade applications.

Credits required for premium models. Free models are available without credits.

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