Llama 4 Scout

About Llama 4 Scout

Llama 4 Scout is Meta's efficient model from the Llama 4 generation, designed for practical deployment while delivering strong capability. The model features improved architecture and training that enables better performance per parameter than previous generations. Llama 4 Scout excels at general reasoning, coding, and multilingual tasks while maintaining efficient inference. It supports an extended context window and function calling for building AI agents. The open weights enable self-hosting, fine-tuning, and customization without API dependencies. For developers seeking capable open-source AI with the latest Meta improvements, Llama 4 Scout offers excellent value. It's particularly valuable for applications requiring strong capability with practical resource requirements.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Llama 4 Scout API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta-llama/llama-4-scout-17b-16e-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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