Llama 4 (Meta)
Meta releases the Llama 4 family (Scout and Maverick), the first natively multimodal Llama models with a Mixture-of-Experts architecture, in open access, with very long context windows.
Key points
- Meta publishes the Llama 4 family (Scout and Maverick), in open access.
- These are the first natively multimodal Llama models with a Mixture-of-Experts architecture.
- They offer very long context windows.
- High-performing open models equip many third-party assistants and tools.
Analysis
Llama 4 reinforces the ecosystem of open models, which many publishers integrate into their own assistants, chatbots and agents. Each tool built on Llama 4 becomes an additional engine likely to cite or reuse brand content.
The Mixture-of-Experts architecture and long context windows improve efficiency and the ability to process large volumes of information. For AI visibility, the wide diffusion of these open models multiplies the contact points where a brand can appear, often outside the major platforms.
What to do
- Map the third-party assistants and tools in your sector likely to rely on open models.
- Maintain reference content that is accessible and well structured, usable by varied assistants.
- Do not limit citation monitoring to the major consumer assistants alone.
High-performing open models that equip many third-party assistants and tools. It broadens the number of engines that may cite a brand.