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

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.
Data Sovereignty AI: Why Open-Weight Models Matter<p>The prototype worked. The demo landed. Then the security questionnaire shows up, and question 41 asks which legal entity can be compelled to produce the contents of your prompts. That one question stalls more AI rollouts than latency or accuracy ever have. Inside hospitals, banks, law firms, and defense subcontractors, data sovereignty AI requirements have […]</p>
Sandboxes: give your agents a safe place to run codeIsolated Linux microVMs you can spin up with one API call: run bash or Python, move files in and out, pause and resume, tear down when you're done. Built for agents and pipelines that need to execute untrusted code without you having to run the infrastructure yourself.
How Open Source AI Is Closing the Gap<p>At the end of 2023, the gap between open-weight and closed-source AI models was real and easy to describe. If you wanted the best performance on reasoning, language understanding, or multi-step problem solving, you paid for a proprietary API. Open models were useful, capable for many tasks, and dramatically cheaper to run but they were […]</p>
© 2026 DeepInfra. All rights reserved.