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 os modelos desta base Todos os modelos do provedor ao provedor

Entrada, $/1M $0.50

Saída, $/1M $1.50

Leitura de cache $0.05

Gravação de cache $0.50

Contexto 128 000

Aceita imagens, texto

Última verificação 04.11.2026 12:00:14 UTC

Fonte página do provedor

Alertas de preço

Entre para seguir o preço

API

API compatível com OpenAI: os SDKs oficiais da OpenAI funcionam com esta URL base. Substitua YOUR_API_KEY pela sua chave do provedor.

URL base da API	`https://api.edenai.run/v3`
Endpoint	`https://api.edenai.run/v3/chat/completions`
ID do 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());

Requisição (JSON)

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

Resposta (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
  }
}

O endereço vem da lista de modelos do provedor; confira na documentação dele.

Documentação da API do provedor

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

Dados técnicos

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