Model Library/Llama 4 Scout Instruct
Llama 4 Scout Instruct

Llama 4 Scout Instruct

meta-llama/llama-4-scout-17b-16e-instruct
by Meta
Documentación de API
Input price
$0.18/ M tokens
Output price
$0.59/ M tokens
Context window
128Ktokens
Max output
128Ktokens

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.

Características

API serverless

Documentación

meta-llama/llama-4-scout-17b-16e-instruct is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Serverless disponible

Ejecuta consultas de inmediato, paga solo por el uso

Entrada$0.18 / M Tokens
Salida$0.59 / M Tokens

  1. Obtén tu clave de API

    Regístrate y crea una clave para ejecutar el código de abajo. La API es compatible con OpenAI.

    Iniciar sesiónObtén tu clave de API

  2. Make your first request

    The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

    Base URL
    https://api.novita.ai/openai
    Model ID
    meta-llama/llama-4-scout-17b-16e-instruct
    API Endpoint
    chat/completionscompletions
    1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="meta-llama/llama-4-scout-17b-16e-instruct",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)