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.
Deep Infra Launches Access to NVIDIA Nemotron Models for Vision, Retrieval, and AI SafetyDeep Infra is serving the new, open NVIDIA Nemotron vision language and OCR AI models from day zero of their release. As a leading inference provider committed to performance and cost-efficiency, we're making these cutting-edge models available at the industry's best prices, empowering developers to build specialized AI agents without compromising on budget or performance.
Qwen3.5 122B A10B API Benchmarks: Latency, Throughput & Cost<p>About Qwen3.5 122B A10B Qwen3.5 122B A10B is Alibaba Cloud’s mid-tier multimodal foundation model, released in February 2026. It is a multimodal vision-language Mixture-of-Experts model supporting text, image, and video inputs, designed for native multimodal agent applications. It features 122 billion total parameters with 10 billion activated per token through a hybrid architecture that integrates […]</p>
Qwen3.5 0.8B API Benchmarks: Latency, Throughput & Cost<p>About Qwen3.5 0.8B (Reasoning) Qwen3.5 0.8B is part of Alibaba Cloud’s Qwen3.5 Small Model Series, released on March 2, 2026. Designed under the philosophy of “More Intelligence, Less Compute,” it targets edge devices, mobile phones, and low-latency applications where battery life and memory constraints are critical. It employs an Efficient Hybrid Architecture combining Gated Delta […]</p>
© 2026 Deep Infra. All rights reserved.