Explore Meta's Llama 4 Maverick Model

Multimodal model for advanced vision-language tasks.

Input: text · image Output: text Context: 128,000 tokens Release: 2025-04-05

Meta's Llama 4 Maverick, released on April 5, 2025, is a multimodal language model designed for complex vision-language tasks. It uses a mixture-of-experts architecture with 17 billion active parameters and supports multilingual text and image input, producing text and code outputs in 12 languages. With a substantial context window of 1 million tokens, Maverick is optimized for instruction-following and multimodal interactions. This model is ideal for both research and commercial applications, providing advanced capabilities in understanding and processing diverse data types.

Use Cases

Here are a few ways teams apply Meta: Llama 4 Maverick (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance vision-language research projects

Develop multilingual text processing applications

Create advanced multimodal interaction systems

Optimize image reasoning tasks

Support general-purpose AI applications

Key Features

A quick look at the capabilities that make this model useful in real projects.

17 billion active parameters per forward pass

Supports text and image input

Produces multilingual text and code output

1 million token context window

Instruction-tuned for assistant-like behavior

Specs

Overview

Vendor
meta-llama

Model ID
meta-llama/llama-4-maverick:free

Release
2025-04-05

Modalities & context

Input
text · image

Output
text

Context
128,000 tokens

Parameters & defaults

Supported parameters: max_tokens, repetition_penalty, response_format, structured_outputs, temperature, tool_choice, tools, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Meta: Llama 4 Maverick (free)

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

The integration of AI is poised to revolutionize the way we work, play, and create. By automating mundane and repetitive tasks, AI can free up human time and energy for more creative and high-value pursuits. In the workplace, AI can augment human capabilities, enabling professionals to focus on strategic and innovative tasks. In leisure, AI-powered tools can help people discover new hobbies and interests, or enhance their existing ones. For instance, AI-assisted music composition can enable individuals to create complex musical pieces without extensive musical training. Moreover, AI can facilitate creativity by generating new ideas, exploring novel patterns, and collaborating with humans in the artistic process. As a result, people may have more time to pursue their passions, and creativity may flourish as humans are able to focus on high-level thinking and imagination. This could lead to a more fulfilling and enjoyable life.

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Image

Prompt:

Generate an SVG of a pelican riding a bicycle.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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