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
GLM-5.1 Model Overview: Features, Capabilities & Use CasesGLM-5.1 Model Overview: Features, Capabilities & Use Cases<p>GLM-5.1 is Z.AI&#8217;s next-generation flagship model for agentic engineering, released on April 7, 2026 under the MIT license. It is a 754-billion parameter Mixture-of-Experts model with 40 billion active parameters per token, a 202,752-token context window, and up to 131K output tokens. The model is the direct successor to GLM-5, designed specifically for long-horizon autonomous [&hellip;]</p>
Hosted Agents: your own always-on AI agent, from $13/monthHosted Agents: your own always-on AI agent, from $13/monthOne click gives you a dedicated, isolated AI agent, pre-wired to fast inference and ready to work the moment it boots. No VMs, no SSH hardening, no patching. From $13/month, and idle is free.
Best SaaS Tools and API Providers for MiMo-V2.5Best SaaS Tools and API Providers for MiMo-V2.5<p>As LLM architectures grow increasingly complex, the introduction of the MiMo-V2.5 series represents a significant step forward in multimodal capabilities and massive context handling. Integrating a model with a 1M-token context window and native multimodal support (image, video, audio, text) introduces substantial infrastructure considerations. For developers and enterprise architects, the priorities are clear: managing inference [&hellip;]</p>