Groq vs Hugging Face

Groq runs open models such as Llama, Mixtral, and Gemma on its own LPU inference hardware, exposing them through a REST API that's a near drop-in replacement for the OpenAI chat completions endpoint. Pricing is pay-per-token and varies by model (roughly $0.05-$3 per million tokens), with a free API key available to get started and no separate infrastructure fee. The console also offers batch processing at a 50% discount and prompt-caching discounts for repeated context.

Hugging Face's Inference Providers route requests to a network of partner GPU providers (Groq, Together, Fireworks, Replicate, and more) behind one OpenAI-compatible API and a single HF token, covering chat, image, video, and embedding models. It replaced the older standalone Inference API, offering a free tier plus extra credits for PRO and Enterprise accounts, with no markup added on top of provider rates. The Hub itself still hosts hundreds of thousands of open models and datasets alongside the inference layer.