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.
Kimi K3: Comprehensive Model Analysis & API Provider Comparison<p>Moonshot AI’s Kimi K3 represents a significant leap in open-weight AI model development. Released on July 16, 2026, this 2.8-trillion-parameter reasoning model has quickly become a focal point for developers seeking frontier-level intelligence with the flexibility of open weights. This analysis evaluates Kimi K3’s technical specifications, benchmark performance, and compares the leading API providers offering […]</p>
Qwen3.8-27B Is Now Available on DeepInfra<p>The Qwen Team’s latest open-weight release, Qwen3.8-27B, is a 27-billion-parameter vision-language model. It goes deep on the tasks that trip up most models: multi-step agentic workflows, software engineering, and multimodal reasoning across images, documents, and video. On SWE-bench Pro, it scores 61.7, outpacing Opus4.6 Max’s 53.4. On QwenSWEBench it jumps from 49.3 on the previous […]</p>
Qwen3.8-27B API Provider Benchmarks: Speed & Cost<p>Qwen3.8 27B (xhigh) API Review Summary The release of Qwen3.8 27B by Alibaba on August 14, 2026, marked a significant milestone for open-weights enterprise AI. Released under the permissive Apache 2.0 license, this 27.78-billion-parameter dense vision-language model competes directly with proprietary frontier models. Built on the Qwen 3.5 architectural foundation, Qwen3.8 27B represents the most […]</p>
© 2026 DeepInfra. All rights reserved.