GLM-5.1 - state-of-the-art agentic engineering, now available on DeepInfra!

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.
Art That Talks Back: A Hands-On Tutorial on Talking ImagesTurn any image into a talking masterpiece with this step-by-step guide using DeepInfra’s GenAI models.
NVIDIA Nemotron 3 Nano 30B API Benchmarks: Latency & Cost<p>About NVIDIA Nemotron 3 Nano 30B A3B NVIDIA Nemotron 3 Nano 30B A3B is a large language model trained from scratch by NVIDIA, designed as a unified model for both reasoning and non-reasoning tasks. It is part of the Nemotron 3 family — NVIDIA’s most efficient family of open models, built for agentic AI applications. […]</p>
Best API for Kimi K2.5: Why DeepInfra Leads in Speed, TTFT, and Scalability<p>Kimi K2.5 is positioned as Moonshot AI’s “do-it-all” model for modern product workflows: native multimodality (text + vision/video), Instant vs. Thinking modes, and support for agentic / multi-agent (“swarm”) execution patterns. In real applications, though, model capability is only half the story. The provider’s inference stack determines the things your users actually feel: time-to-first-token (TTFT), […]</p>
© 2026 Deep Infra. All rights reserved.