Llama 4 Scout
Language modelOpen weightsCard summarizedOptimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems
Overview
Llama 4 Scout
Optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems
- Cost
- $0.10 host
- Context
- 10M
- Cheapest host
- $0.10 / $0.30
- Max output
- —
- Knows up to
- August 2024
- Released
- 5 Apr 2025
Llama 4 Scout is a natively multimodal, mixture-of-experts language model (17B active / 109B total, 16 experts) from Meta's Llama 4 collection. It takes multilingual text and images and returns multilingual text and code. Scout supports a 10M-token context and fits on one H100 with int4 quantization. Model Information
meta-llama/Llama-4-Scout-17B-16E-Instruct- Input / output per 1M
- $0.10 / $0.30 via DeepInfra
- Context window
- 10M
- Max output
- —
- Knows up to
- August 2024
- Reasoning
- —
- Weights
- Open · Llama 4 Community License
About this card. A model card is the maker's own account of a model: what it's for, how it was trained and tested, and where it falls short. This page condenses Meta's Llama 4 Model Card (MODEL_CARD.md). Every claim carries its source page.