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…

DeepInfra raises $107M Series B to scale the inference cloud — read the announcement

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
Best Models for OpenClaw: Top Picks for Agentic WorkloadsBest Models for OpenClaw: Top Picks for Agentic Workloads<p>When you configure OpenClaw for the first time, the model picker looks like a minor config detail. It isn&#8217;t. The model you connect decides whether your agents complete tasks reliably or fall apart halfway through a multi-step workflow. It sets what you pay per completed job, not just per token. And it determines whether your [&hellip;]</p>
Open vs Closed Source AI Models: Intelligence, Price & Speed ComparedOpen vs Closed Source AI Models: Intelligence, Price & Speed Compared<p>The LLM landscape in 2026 looks nothing like it did two years ago. Back then the assumption was simple: if you wanted the best model, you paid OpenAI or Anthropic, and that was that. Open source models were a respectable second tier, good for experimentation, fine-tuning, and budget workloads, but not quite there for serious [&hellip;]</p>
Build a RAG App With DeepInfra and LangChainBuild a RAG App With DeepInfra and LangChain<p>Ask a base language model about your company&#8217;s refund policy and it will answer with confidence, fluency, and no idea what your policy actually says. The facts live in your PDFs, your internal wiki, and your ticket history, none of which the model has ever seen during training. Retrieval-augmented generation closes that gap by fetching [&hellip;]</p>