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…

NVIDIA Nemotron 3 Super - blazing-fast agentic AI, ready to deploy today!

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
NVIDIA Nemotron 3 Super 120B API Benchmarks: Latency & CostNVIDIA Nemotron 3 Super 120B API Benchmarks: Latency & Cost<p>About NVIDIA Nemotron 3 Super 120B A12B NVIDIA&#8217;s Nemotron 3 Super 120B A12B is an open-weight large language model released on March 11, 2026. It features 120B total parameters with only 12B active per forward pass, delivering exceptional compute efficiency for complex multi-agent applications such as software development and cybersecurity triaging. The model uses a [&hellip;]</p>
Step 3.5 Flash API Benchmarks: Latency, Throughput & CostStep 3.5 Flash API Benchmarks: Latency, Throughput & Cost<p>About Step 3.5 Flash Step 3.5 Flash is an open-weights reasoning model released in February 2026 by StepFun. It leverages a sparse Mixture of Experts (MoE) architecture with 196 billion total parameters and only 11 billion active parameters per token during inference — delivering state-of-the-art performance at a fraction of the cost of dense models. [&hellip;]</p>