Llama-3.1-8B-Instruct · edenai

Name: Llama-3.1-8B-Instruct
Brand: Meta Llama
Price: 0.15001 USD
Availability: InStock

Llama 3.1 is a state-of-the-art 8B parameter dense language model trained and released by Meta. The model supports a context length of 128K tokens. The model is optimized for multilingual dialogue use cases and aligned with human preferences for helpfulness and safety. It is not intended for use in languages other than English. Meta Llama 3.1 is licensed under the Meta Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Customers are responsible for ensuring compliance with applicable model licenses.

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Вход, $/1M $0.15

Выход, $/1M $0.45

Чтение из кэша $0.015

Запись в кэш $0.15

Контекст 200 000

Принимает текст

Последняя проверка 04.11.2026 12:00:14 UTC

Источник страница провайдера

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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-meta-llama-3-1-8b-instruct`

curl

curl https://api.edenai.run/v3/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "databricks/databricks-meta-llama-3-1-8b-instruct", "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-meta-llama-3-1-8b-instruct",
      "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-meta-llama-3-1-8b-instruct",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Запрос (JSON)

{
  "model": "databricks/databricks-meta-llama-3-1-8b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Ответ (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "databricks/databricks-meta-llama-3-1-8b-instruct",
  "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-meta-llama-3-1-8b-instruct, prices checked 2026-11-04; seller's page: https://edenai.co

Технические данные

ID: offer:edenai|databricks/databricks-meta-llama-3-1-8b-instruct