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35Open weightsProvisional score

Llama 4 Scout

Llama 4 Scout

Small, multimodal and open, for when the model has to live on your own box.

Updated

Llama 4 Scout

The read

Scout is the small end of Llama 4: a mixture-of-experts model light enough to serve on a single high-memory GPU while still reading images. For an internal tool, an on-premise assistant, or anything where the model has to sit next to the data, it is the least complicated open option. It is a small model, and it answers like one when the question gets hard.

Where it shines

  • Serves on a single high-memory GPU
  • Multimodal despite its size
  • Drop-in support in every open serving stack

Worth knowing first

  • Reasoning is thin next to the larger models in the same family
  • The community licence carries a user-count threshold

Index score

77.3

Provisional. This score is read from the product's public capability, not from the one-prompt rebuild the fully reviewed entries went through, so treat it as a placing rather than a verdict.

Craft66
Speed88
Control92
Value92
Rank
35 of 53
Builds
LLMs
Category
Open weights
Output
Downloadable weights under Meta's community licence
Pricing
Free tier
Best for
On-premise assistants that must run on one GPU

Scores are our own editorial judgement, weighted craft 55, speed 10, control 15 and value 20.