Meta’s compact open-weight model with a massive 10M-token context.
Llama 4 Scout is the open model you can drop an entire repo into. is one of the fastest-evolving AI tools we track. We put it through real daily tasks — same as a working professional would — and scored output quality, speed, pricing, and how it fits an actual stack.
Who it's for: Self-hosters, enterprises with data rules, and devs needing huge context.
Huge window for entire codebases and book-length docs.
Download and self-host under Meta’s community license.
Native image understanding alongside text.
Active params stay small so inference is cheap.
Llama 4 Scout’s 10M-token context is its killer feature — feed it a whole codebase or a long book. It lags GPT/Claude on hardest reasoning, but it’s free and you own it, which settles a lot of debates.