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Llama 4 Scout

A more deployable Llama 4 model notable for its extremely long context window.

Llama 4 Multimodal LLM Open weights Open weights: Yes API: Via Meta and partners

Plain-English Summary

A more deployable Llama 4 model notable for its extremely long context window.

Technical Notes

Native multimodal MoE model with 17B active parameters, 16 experts, about 109B total parameters, and up to 10M context.

Best For

Very long documents, large codebases, multimodal RAG, self-hosting

Watch Out For

The full 10M context may require specialized infrastructure and quality can vary across the window.

Model Specs

Maker
Meta
Country
USA
Family
Llama 4
Type
Multimodal LLM
Release date
2025-04-05
Date confidence
Exact
Status
Open weights
Context window
10,000,000 tokens
Max output
Not listed
Parameters
~109B
Active parameters
17B
Architecture
Mixture-of-experts multimodal transformer
Reasoning
Yes
Tool calling
Host dependent
Structured output
Host dependent
API available
Via Meta and partners
Open weights
Yes
Self-hostable
Yes
License
Llama 4 Community License
Inputs
Text, image
Outputs
Text
Approx. price
See provider pricing
How to access
Provider website
Model / API ID
Llama-4-Scout
Knowledge cutoff
Not publicly disclosed
Fine-tuning
Fine-tuning, quantization, self-hosting
Completeness
95 %
Verified
Jul 18, 2026
Snapshot date
Jul 18, 2026
Source
Official source