LLMS • CURATED • UPDATED APR 5, 2025

Llama 4 Scout

Long-context, efficient open multimodal model for edge and single-GPU use
Price
Free
API
Yes
Weights
Yes

Llama 4 Scout is Meta's efficient Llama 4 variant, released in April 2025. It is a Mixture-of-Experts model with 17B active parameters and 109B total parameters across 16 experts, natively multimodal for text and images, and supports an industry-leading 10M-token context window.

Scout is notable for its extreme 10M-token context window and efficient single-GPU deployment, making it the standout open model for very long documents and memory-heavy applications.

Pricing Free
Platforms web, api, local
API Yes
Open Source Yes
Modalities LLMs, Multimodal Reasoning
Best For Best for Long Context
Date Added 2025-04-05
Free Completely free
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Q

Is Llama 4 Scout free?

A

Yes, Llama 4 Scout is completely free to use.

Q

Does Llama 4 Scout have an API?

A

Yes, Llama 4 Scout offers an API for programmatic integration.

Q

What is Llama 4 Scout best for?

A

Llama 4 Scout is best for Long Context. Llama 4 Scout is Meta's efficient Llama 4 variant, released in April 2025. Scout is notable for its extreme 10M-token context window and efficient single-GPU deployment, making it the standout open model for very long documents and memory-heavy applications.

Q

What platforms does Llama 4 Scout support?

A

Llama 4 Scout supports web, api, local.

Q

Is Llama 4 Scout open source?

A

Yes, Llama 4 Scout is open source. You can access the source code on GitHub at https://github.com/meta-llama/llama-models.

Q

How do I use Llama 4 Scout?

A

Llama 4 Scout is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses.

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