Llama 4 Scout

Training compute

4.1×10²⁴ FLOP

Parameters

109B

Published

Apr 5, 2025

Llama 4 Scout is an AI model developed by Meta AI (United States), first published in April 2025. It works in the multimodal, language and vision domain, on tasks such as chat, code generation, visual question answering and 2 more.

Training it took an estimated 4.1×10²⁴ FLOP of compute. The model has 109,000,000,000 parameters. It was trained on roughly 30T datapoints.

Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Meta AI
Country of organization: United States
Domain: Multimodal, Language, Vision
Task: Chat, Code generation, Visual question answering, Language modeling/generation, Question answering
Training compute: 4.1×10²⁴ FLOP
Parameters: 109,000,000,000
Dataset size: 30T
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Likely

Benchmark results

01

Epoch Capabilities Index

ECI Score

130.5