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.
Best SaaS Platforms for Deploying Gemma 4 in 2026<p>Gemma 4 is available across a range of platforms — from fully managed API providers to local runners and no-code builders. The right choice depends on what you’re optimizing for: cost, latency, data privacy, local execution, or zero infrastructure overhead. This guide breaks down the top options by use case so you can match the […]</p>
How to deploy Databricks Dolly v2 12b, instruction tuned casual language model.Databricks Dolly is instruction tuned 12 billion parameter casual language model based on EleutherAI's pythia-12b.
It was pretrained on The Pile, GPT-J's pretraining corpus.
[databricks-dolly-15k](http...
Kimi K2.6 is Now Available on DeepInfra<p>Kimi K2.6 can coordinate up to 300 sub-agents executing 4,000 steps in a single autonomous run — Moonshot AI’s answer to the gap between what frontier models can do in a chat window and what production agentic systems actually need. Built for long-horizon coding, deep research, and complex orchestration, the model is open source under […]</p>
© 2026 DeepInfra. All rights reserved.