Llama 4 Scout (17Bx16E)

meta-llama/llama-4-scout

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. We are launching two efficient models in the Llama 4 series, Llama 4 Scout, a 17 billion parameter model with 16 experts, and Llama 4 Maverick, a 17 billion parameter model with 128 experts.

Capability

Vision Support

Context Window

10,000,000

Max Output Tokens

328,000

Language

Python JavaScript Curl

Using Llama 4 Scout (17Bx16E) with Python API

Using Llama 4 Scout (17Bx16E) with OpenAI compatible API

import openai

client = openai.Client(
  api_key= '{your_api_key}',
  base_url="https://api.model.box/v1",
)
response = client.chat.completions.create(
model="meta-llama/llama-4-scout",
messages: [
  {
    role: 'user',
    content:
      'introduce your self',
    },
  ]
)
print(response)