Llama 4 Scout Instruct is a 109B-parameter Multimodal LLM designed for advanced text and image understanding across multiple languages.

It excels in multi-document analysis, codebase reasoning, and complex multimodal tasks that require processing both text and images, especially where long context windows and multilingual capabilities are valuable.

Some other noteworthy use cases of Llama 4 Scout Instruct include multi-document summarization for legal or financial analysis, and highly personalized task automation using years of user data.

Metric	Value
Parameter Count	109 billion
Mixture of Experts	Yes
Active Parameter Count	17 billion
Context Length	327,680 tokens
Multilingual	Yes
Quantized*	No

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.