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.

Base modelAll models on this baseAll models of the providerto the provider

Input, $/1M $0.15

Output, $/1M $0.45

Cache read $0.015

Cache write $0.15

Context 200 000

Accepts text

Last checked 04.11.2026 12:00:14 UTC

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API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL
https://api.edenai.run/v3
Endpoint
https://api.edenai.run/v3/chat/completions
Model 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());
Request (JSON)
{
  "model": "databricks/databricks-meta-llama-3-1-8b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Response (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
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

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

Technical details

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