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.
Step 3.7 Flash is Live on DeepInfra: An Agentic, Multimodal Model Built for ProductionStepFun's Step 3.7 Flash is now live on DeepInfra. It's a 198B-parameter sparse MoE vision-language model with just ~11B active parameters per token, a 256K context window, and three selectable reasoning levels—purpose-built for high-throughput agentic workflows that combine perception, search, and reasoning.
Beat AI Subscription Fatigue With One API<p>Open your company card statement and scroll the recurring charges. Twenty dollars for a chat assistant, twenty more for a coding copilot, fifteen for an image API, another forty for the automation glue that wires them together. None of them is expensive on its own. Together they are a slow leak you stopped noticing months […]</p>
© 2026 DeepInfra. All rights reserved.