Llama

People want one answer to "which AI is best," and there is not one. There is a best model for coding, a best for long documents, a best for cheap bulk work, and a best for running on your own hardware, and they are rarely the same model. Here is how I actually pick, in mid-2026, after using all four families on real work.

Llama 4 Scout is easy to review badly. You quote the ten-million-token context window, call it revolutionary, and move on. Having actually run it, the honest review is more interesting, and more useful: Scout is a very good open model whose best feature is not the one on the box.

Meta Llama 4 family landed with a headline number that is hard to ignore: Scout, the smaller variant, offers a ten-million-token context window. That is the largest of any model, open or closed. It is also a feature most people quoting it will never actually use.