Meta Llama
Meta: Llama 4 Scout
meta-llama/llama-4-scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens. Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
1,310,720
tokens
Max output
16,384
1.3% of the context window
Parameters
108,641,793,536
Model facts
Author
Meta Llama
Tokenizer
Llama4
Modality
Text + Image -> Text
License
Other
Knowledge cutoff
2024-08-31
Created
Apr 5, 2025
Hugging Face
meta-llama/Llama-4-Scout-17B-16E-Instruct
Publication status
Modalities
Generation controls
Capability scores
Better than 1% of models compared
Better than 2% of models compared
Better than 6% of models compared
Creative tasks
Category performance
896 Elo
39.3% win
774 Elo
27.4% win
791 Elo
26.6% win
767 Elo
25.5% win
752 Elo
22.7% win