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AI Reference 070 Modern Model Families Current · Aug 2026 Primary sources linked

Llama 4 Scout and Maverick

Definition

Meta released Llama 4 Scout and Maverick in April 2025 as natively multimodal mixture-of-experts models. Meta describes Scout as having 17 billion active parameters and 16 experts, and Maverick as having 17 billion active parameters and 128 experts.

What are Scout and Maverick?

Llama 4 Scout and Llama 4 Maverick are Meta models released in April 2025. Meta describes both as natively multimodal mixture-of-experts models.

How the two models differ

Meta described Scout as a model with 17 billion active parameters and 16 experts. Maverick also uses 17 billion active parameters but 128 experts, giving it much larger total capacity while keeping per-token activation relatively sparse.

Why active parameters matter

In an MoE model, the total number of stored parameters is not the same as the number used for each token. Routing activates only selected experts. That distinction is essential when comparing MoE models with dense models where nearly all parameters participate in each forward pass.

Related terms, defined

Reference guide and primary sources

Wikipedia is used here as a terminology and history reference guide. Current model versions, institutional statistics and product-specific claims are also linked to first-party or institutional sources because those details can change faster than encyclopedia articles.