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At DeepInfra we host the best open source LLM models. We are always working hard to make our APIs simple and easy to use.
Today we are excited to announce a very easy way to quickly try our models like Llama2 70b and Mistral 7b and compare them to OpenAI's models. You only need to change the API endpoint URL and the model name to quickly see if these models are a good fit for your application.
Here is a quick example of how to use the OpenAI Python client with our models:
import openai
# Point OpenAI client to our endpoint
openai.api_base = "https://api.deepinfra.com/v1/openai"
# Just leave the API key empty. You don't need it to try our models.
openai.api_key = ""
# Your chosen model here
MODEL_DI = "meta-llama/Llama-2-70b-chat-hf"
chat_completion = openai.ChatCompletion.create(
model="meta-llama/Llama-2-70b-chat-hf",
messages=[{"role": "user", "content": "Hello world"}],
stream=True,
)
# print the chat completion
for event in chat_completion:
print(event.choices)
To make it as simple as possible you don't even have to create an account with DeepInfra to
try our models. Just pass empty string as api_key and you are good to go. We rate limit the
unauthenticated requests by IP address.
When you are ready to use our models in production, you can create an account at DeepInfra and get an API key. We offer the best pricing for the llama 2 70b model at just $1 per 1M tokens. If you need any help, just reach out to us on our Discord server.
Enhancing Open-Source LLMs with Function Calling FeatureWe're excited to announce that the Function Calling feature is now available on DeepInfra. We're offering Mistral-7B and Mixtral-8x7B models with this feature. Other models will be available soon.
LLM models are powerful tools for various tasks. However, they're limited in their ability to per...
Function Calling in DeepInfra: Extend Your AI with Real-World Logic<p>Modern large language models (LLMs) are incredibly powerful at understanding and generating text, but until recently they were largely static: they could only respond based on patterns in their training data. Function calling changes that. It lets language models interact with external logic — your own code, APIs, utilities, or business systems — while still […]</p>
Use OpenAI API clients with LLaMasGetting started
# create a virtual environment
python3 -m venv .venv
# activate environment in current shell
. .venv/bin/activate
# install openai python client
pip install openai
Choose a model
meta-llama/Llama-2-70b-chat-hf
[meta-llama/L...© 2026 Deep Infra. All rights reserved.