Using Fireworks Llama-3-8B-Instruct on Fireworks AI

Implementation guide · Llama 3 · AI at Meta

ServerlessOpen Weights

Fireworks AI exposes Fireworks Llama-3-8B-Instruct through model ID fireworks-llama-3-8b-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

1
Create an account at Fireworks AI and generate an API key.
2
Use the Fireworks AI SDK or REST API to call fireworks-llama-3-8b-instruct — see the documentation for request format.
3
You'll be billed $0.15/1M input, $0.15/1M output tokens. See full pricing.

API Portal Documentation Pricing

Code Examples

Install

pip install openai

API key

FIREWORKS_API_KEY

Model ID

fireworks-llama-3-8b-instruct

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="fireworks-llama-3-8b-instruct",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)