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.

Базовая модель Все модели этой базовой Все модели провайдера к провайдеру

Вход, $/1M $0.50

Выход, $/1M $1.50

Чтение из кэша $0.05

Запись в кэш $0.50

Контекст 128 000

Принимает картинки, текст

Последняя проверка 04.11.2026 12:00:14 UTC

Источник страница провайдера

Уведомления о ценах

Войдите, чтобы следить за ценой

API

API, совместимый с OpenAI: подходят официальные SDK OpenAI с этим адресом. YOUR_API_KEY замените на свой ключ от провайдера.

Адрес API	`https://api.edenai.run/v3`
Эндпоинт	`https://api.edenai.run/v3/chat/completions`
Модель (id в API)	`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());

Запрос (JSON)

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

Ответ (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
  }
}

Адрес взят из списка моделей провайдера - сверьте с его документацией.

Документация API провайдера

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

Технические данные

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