AI Rate Card

Llama-3.1-8B-Instruct · edenai

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.

BasismodellAlle Modelle dieser BasisAlle Modelle des Anbieterszum Anbieter

Eingabe, $/1M $0.15

Ausgabe, $/1M $0.45

Cache-Lesen $0.015

Cache-Schreiben $0.15

Kontext 200 000

Akzeptiert Text

Zuletzt geprüft 04.11.2026 12:00:14 UTC

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API

OpenAI-kompatible API: Die offiziellen OpenAI-SDKs funktionieren mit dieser Basis-URL. Ersetzen Sie YOUR_API_KEY durch Ihren Schlüssel vom Anbieter.

API-Basis-URL
https://api.edenai.run/v3
Endpunkt
https://api.edenai.run/v3/chat/completions
Modell-ID
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());
Anfrage (JSON)
{
  "model": "databricks/databricks-meta-llama-3-1-8b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Antwort (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
  }
}

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API-Dokumentation des Anbieters

Source: AI Rate Card, https://airatecard.com/de/c/offer%3Aedenai%7Cdatabricks/databricks-meta-llama-3-1-8b-instruct, prices checked 2026-11-04; seller's page: https://edenai.co

Technische Details

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