Meta's open-weight model family — Scout (10M context), Maverick (multimodal workhorse), and Behemoth (frontier-class). The default foundation for the entire open AI ecosystem.
Llama 4 isn't one model — it's a family. Scout gives you a staggering 10-million-token context for cheap retrieval. Maverick is the multimodal daily driver. Behemoth competes with closed frontiers. Because it's open-weight, every tool, quant, and fine-tune in the ecosystem supports it.
Who it's for: Builders who want the largest supported open ecosystem, massive context on a budget, and the freedom to fine-tune and self-host.
Llama 4 Scout carries a 10-million-token context — the longest of any open model. Entire repos and document sets, natively.
Maverick and Behemoth accept images. Document understanding, chart reading, and visual Q&A out of the box.
Every inference server, agent framework, and quant tool supports Llama. The path of least resistance for open AI.
License permits commercial fine-tuning. Spin up a domain-specific model on your own data with LoRA or full FT.
Llama 4 is the safe, ubiquitous open-weight foundation in 2026. If you want maximum ecosystem support, a 10M-token context, and the freedom to self-host and fine-tune, start here. Reach for Qwen 3 Maxi if you need the absolute best open reasoning.