We use essential cookies to make our site work. With your consent, we may also use non-essential cookies to improve user experience and analyze website traffic…
DeepInfra raises $107M Series B to scale the inference cloud — read the announcement
Getting an API Key
To use DeepInfra's services, you'll need an API key. You can get one by signing up on our platform.
- Sign up or log in to your DeepInfra account at deepinfra.com
- Navigate to the Dashboard and select API Keys
- Create a new API key and save it securely
Your API key will be used to authenticate all your requests to the DeepInfra API.
Deployment
Now lets actually deploy some models to production and use them for inference. It is really easy.
You can deploy models through the web dashboard or by using our API. Models are automatically deployed when you first make an inference request.
Inference
Once a model is deployed on DeepInfra, you can use it with our REST API. Here's how to use it with curl:
curl -X POST \
-F "audio=@/path/to/audio.mp3" \
-H "Authorization: Bearer YOUR_API_KEY" \
'https://api.deepinfra.com/v1/inference/openai/whisper-small'
Related articles
Top 6 GLM-5.2 Max API Providers Compared<p>Deploying the GLM-5.2 (max) Mixture-of-Experts model — 753B total parameters with roughly 40B active per token and a 1M context window — requires infrastructure that separates production-grade API providers from the rest. This guide breaks down the top providers by throughput, latency, pricing, and quantization architecture. GLM-5.2 (max) API Review Summary (2026-06-27) TL;DR: Best Providers […]</p>
GLM-4.6 vs DeepSeek-V3.2: Performance, Benchmarks & DeepInfra Results<p>The open-source LLM ecosystem has evolved rapidly, and two models stand out as leaders in capability, efficiency, and practical usability: GLM-4.6, Zhipu AI’s high-capacity reasoning model with a 200k-token context window, and DeepSeek-V3.2, a sparsely activated Mixture-of-Experts architecture engineered for exceptional performance per dollar. Both models are powerful. Both are versatile. Both are widely adopted […]</p>
Function Calling in DeepInfra: Extend Your AI with Real-World Logic<p>Modern large language models (LLMs) are incredibly powerful at understanding and generating text, but until recently they were largely static: they could only respond based on patterns in their training data. Function calling changes that. It lets language models interact with external logic — your own code, APIs, utilities, or business systems — while still […]</p>
Top 6 GLM-5.2 Max API Providers Compared<p>Deploying the GLM-5.2 (max) Mixture-of-Experts model — 753B total parameters with roughly 40B active per token and a 1M context window — requires infrastructure that separates production-grade API providers from the rest. This guide breaks down the top providers by throughput, latency, pricing, and quantization architecture. GLM-5.2 (max) API Review Summary (2026-06-27) TL;DR: Best Providers […]</p>
GLM-4.6 vs DeepSeek-V3.2: Performance, Benchmarks & DeepInfra Results<p>The open-source LLM ecosystem has evolved rapidly, and two models stand out as leaders in capability, efficiency, and practical usability: GLM-4.6, Zhipu AI’s high-capacity reasoning model with a 200k-token context window, and DeepSeek-V3.2, a sparsely activated Mixture-of-Experts architecture engineered for exceptional performance per dollar. Both models are powerful. Both are versatile. Both are widely adopted […]</p>
Function Calling in DeepInfra: Extend Your AI with Real-World Logic<p>Modern large language models (LLMs) are incredibly powerful at understanding and generating text, but until recently they were largely static: they could only respond based on patterns in their training data. Function calling changes that. It lets language models interact with external logic — your own code, APIs, utilities, or business systems — while still […]</p>
© 2026 DeepInfra. All rights reserved.