DeepInfra raises $107M Series B to scale the inference cloud — read the announcement

Compare Llama2 vs OpenAI models for FREE.
Published on 2023.09.28 by Nikola Borisov
Compare Llama2 vs OpenAI models for FREE.

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)
copy

Rate limits on no API key

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.

Pricing and Production ready

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.

Related articles
Kimi K2.6 Pricing Guide 2026: Compare Costs & Deployment StrategiesKimi K2.6 Pricing Guide 2026: Compare Costs & Deployment Strategies<p>Kimi K2.6 matters because it sits in a rare spot: open weights, broad provider availability, and a real spread in pricing and runtime performance depending on where you buy it. Artificial Analysis tracks the model across nine API providers, with blended pricing ranging from $1.15 to $2.15 per 1M tokens and major differences in throughput [&hellip;]</p>
Introducing the Flex Service Tier: Cheaper Inference When You Can WaitIntroducing the Flex Service Tier: Cheaper Inference When You Can WaitRun latency-tolerant work at 0.8× real-time — best-effort, sheddable, same OpenAI-compatible API.
GLM-5.1 on DeepInfra: Z.AI’s Agentic Engineering ModelGLM-5.1 on DeepInfra: Z.AI’s Agentic Engineering Model<p>Z.AI&#8217;s GLM-5.1 scores 58.4 on SWE-Bench Pro — ahead of both Claude Opus 4.6 (57.3) and GPT-5.4 (57.7) on real-world software engineering tasks. It&#8217;s the direct successor to GLM-5, designed for agentic engineering: long-horizon coding tasks, terminal operations, and repository-level work. The core design premise is that previous models, including GLM-5, tend to plateau after [&hellip;]</p>