We use essential cookies to make our site work. With your consent, we may also use non-essential cookies to improve user experience and analyze website traffic…

Qwen3-Max-Thinking state-of-the-art reasoning model at your fingertips!

Compare Llama2 vs OpenAI models for FREE.
Published on 2023.09.28 by Nikola Borisov
Compare Llama2 vs OpenAI models for FREE.

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)
copy

Rate limits on no API key

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.

Pricing and Production ready

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.

Related articles
Search That Actually Works: A Guide to LLM RerankersSearch That Actually Works: A Guide to LLM RerankersSearch relevance isn’t a nice-to-have feature for your site or app. It can make or break the entire user experience. When a customer searches "best laptop for video editing" and gets results for gaming laptops or budget models, they leave empty-handed. Embeddings help you find similar content, bu...
Building a Voice Assistant with Whisper, LLM, and TTSBuilding a Voice Assistant with Whisper, LLM, and TTSLearn how to create a voice assistant using Whisper for speech recognition, LLM for conversation, and TTS for text-to-speech.
Use OpenAI API clients with LLaMasUse 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...