Llama 4 Maverick 17B Instruct · edenai

Name: Llama 4 Maverick 17B Instruct
Brand: Meta Llama
Price: 0.50001 USD
Availability: InStock

Llama 4 Maverick is a state-of-the-art mixture of experts (MoE) language model trained and released by Meta. The model has 17B active parameters, 128 experts, and 400 billion total parameters. The model supports a context length of 128K tokens. The model is optimized for multilingual dialogue use cases, supporting 12 languages, and is aligned with human preferences for helpfulness and safety. It is not intended for use in languages other than English. Llama 4 is licensed under the Meta Llama 4 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Customers are responsible for ensuring compliance with applicable model licenses.

Modelo base Todos los modelos de esta base Todos los modelos del proveedor al proveedor

Entrada, $/1M $0.50

Salida, $/1M $1.50

Lectura de caché $0.05

Escritura de caché $0.50

Contexto 128 000

Acepta imágenes, texto

Última comprobación 04.11.2026 12:00:14 UTC

Fuente página del proveedor

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API

API compatible con OpenAI: los SDK oficiales de OpenAI funcionan con esta URL base. Sustituye YOUR_API_KEY por tu clave del proveedor.

URL base de la API	`https://api.edenai.run/v3`
Endpoint	`https://api.edenai.run/v3/chat/completions`
ID del modelo	`databricks/databricks-llama-4-maverick`

curl

curl https://api.edenai.run/v3/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "databricks/databricks-llama-4-maverick", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'

Python

import requests

r = requests.post(
    "https://api.edenai.run/v3/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "databricks/databricks-llama-4-maverick",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())

JavaScript

const r = await fetch("https://api.edenai.run/v3/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "databricks/databricks-llama-4-maverick",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Solicitud (JSON)

{
  "model": "databricks/databricks-llama-4-maverick",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Respuesta (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "databricks/databricks-llama-4-maverick",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

La dirección se toma de la lista de modelos del proveedor; compruébala con su documentación.

Documentación de la API del proveedor

Source: AI Rate Card, https://airatecard.com/es/c/offer%3Aedenai%7Cdatabricks/databricks-llama-4-maverick, prices checked 2026-11-04; seller's page: https://edenai.co

Datos técnicos

ID: offer:edenai|databricks/databricks-llama-4-maverick