Using DeepInfra Llama 3 8B Instruct on DeepInfra

Implementation guide · Llama 3 · AI at Meta

ServerlessOpen Source

Quick Start

1
Create an account at DeepInfra and generate an API key.
2
Use the DeepInfra SDK or REST API to call deepinfra-llama-3-8b-instruct — see the documentation for request format.
3
You'll be billed $0.05/1M input, $0.15/1M output tokens. See full pricing.

API Portal Documentation Pricing

Code Examples

Install

pip install openai

API key

DEEPINFRA_API_KEY

Model ID

deepinfra-llama-3-8b-instruct

DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.

import os
from openai import OpenAI

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

About DeepInfra

DeepInfra offers serverless AI inference with a simple API, supporting hundreds of models across text generation, embeddings, and more. Pay-per-token pricing with no upfront commitments.

DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models. It provides serverless inference for leading models from Meta, Mistral, Alibaba, and others with competitive token-based pricing.

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