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.

Modèle de base Tous les modèles de cette base Tous les modèles du fournisseur vers le fournisseur

Entrée, $/1M $0.15

Sortie, $/1M $0.45

Lecture cache $0.015

Écriture cache $0.15

Contexte 200 000

Accepte texte

Dernière vérification 04.11.2026 12:00:14 UTC

Source page du fournisseur

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API

API compatible OpenAI : les SDK officiels d'OpenAI fonctionnent avec cette URL de base. Remplacez YOUR_API_KEY par votre clé du fournisseur.

URL de base de l'API	`https://api.edenai.run/v3`
Point de terminaison	`https://api.edenai.run/v3/chat/completions`
ID du modèle	`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());

Requête (JSON)

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

Réponse (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
  }
}

L'adresse provient de la liste de modèles du fournisseur ; vérifiez-la dans sa documentation.

Documentation API du fournisseur

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

Détails techniques

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