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.
How to deploy google/flan-ul2 - simple. (open source ChatGPT alternative)Flan-UL2 is probably the best open source model available right now for chatbots. In this post
we will show you how to get started with it very easily. Flan-UL2 is large -
20B parameters. It is fine tuned version of the UL2 model using Flan dataset.
Because this is quite a large model it is not eas...
Nemotron 3 Nano vs GPT-OSS-20B: Performance, Benchmarks & DeepInfra Results<p>The open-source LLM landscape is becoming increasingly diverse, with models optimized for reasoning, throughput, cost-efficiency, and real-world agentic applications. Two models that stand out in this new generation are NVIDIA’s Nemotron 3 Nano and OpenAI’s GPT-OSS-20B, both of which offer strong performance while remaining openly available and deployable across cloud and edge systems. Although both […]</p>
Nemotron 3 Nano Explained: NVIDIA’s Efficient Small LLM and Why It Matters<p>The open-source LLM space has exploded with models competing across size, efficiency, and reasoning capability. But while frontier models dominate headlines with enormous parameter counts, a different category has quietly become essential for real-world deployment: small yet high-performance models optimized for edge devices, private on-prem systems, and cost-sensitive applications. NVIDIA’s Nemotron family brings together open […]</p>
© 2026 DeepInfra. All rights reserved.