Hugging Face

The model hub. Weights, datasets and demos for most of open-source ML.

AIFreemium

About Hugging Face

Hugging Face is a hosting platform for machine learning work: model weights, datasets and runnable demos, held in repositories on a public hub. Using the Hub on the free tier costs nothing. A PRO account is $9 per month, a Team seat $20 per user per month and an Enterprise seat $50 per user per month.

Storage is where the tiers separate. A free user or organisation gets 100GB of private storage. PRO raises that to 1TB private alongside up to 10TB public, a Team organisation starts at 12TB public plus 1TB per seat, and Enterprise at 200TB plus 1TB per seat. Beyond the allowance, public storage is $12 per TB per month and private storage $18, with the private rate tapering to $16 above 50TB, $14 above 200TB and $12 above 500TB. Hard limits apply on any plan: no single file may exceed 500GB, the vendor recommends splitting into chunks under 200GB, a single folder cannot hold more than 10,000 files, and the recommended ceiling is under 100,000 files per repository.

Spaces host demos on rented hardware. CPU Basic is free, a CPU upgrade is $0.03 per hour, an NVIDIA T4 small $0.40 and an NVIDIA L4 $0.80. ZeroGPU is the alternative for intermittent workloads: it works only with the Gradio SDK, and a decorated function defaults to a 60 second maximum runtime unless a longer duration is declared. Daily ZeroGPU quota is 2 minutes unauthenticated, 5 minutes on a free account, 40 minutes for PRO and Team members and 60 minutes for Enterprise members, after which usage is billed against pre-paid credits at $1 per 10 minutes of GPU time. The large size is backed by half an NVIDIA RTX Pro 6000 Blackwell with 48GB of VRAM and xlarge by the full card with 96GB.

Inference Providers routes API calls out to third-party hosts including Baseten, Cerebras, Cohere, DeepInfra, Fal AI, Fireworks, Groq, Novita, Replicate, Scaleway, Together and Z.ai. The router exposes an OpenAI compatible endpoint at router.huggingface.co/v1, and appending a fastest, cheapest or preferred suffix to a model id changes which provider serves the request. Provider rates are passed through without a markup. Monthly credit is $0.10 for free users, $2.00 for PRO and $2.00 per seat for Team and Enterprise organisations, and a request made with your own provider key is billed by that provider with the credits not applying.

Enterprise adds identity provider connection over SAML or OIDC, SCIM user provisioning, audit logs and the ability to pin repository data to a US or EU region. Hugging Face holds SOC 2 Type II certification and states GDPR compliance.

Key features

Hosts public and private repositories, giving a free account 100GB of private storage.
Includes 10TB public and 1TB private storage on a PRO account at $9 per month.
Sells extra storage at $12 per TB public and $18 per TB private per month.
Runs ZeroGPU Spaces on the Gradio SDK, backed by 48GB of VRAM at large and 96GB at xlarge.
Caps a ZeroGPU decorated function at 60 seconds unless a longer duration is declared.
Gives daily ZeroGPU quotas of 5 minutes free, 40 minutes on PRO and Team, and 60 on Enterprise.
Bills ZeroGPU time past the quota against prepaid credits at $1 per 10 minutes.
Rents Spaces hardware at $0.03 per CPU hour, $0.40 per T4 hour and $0.80 per L4 hour.
Routes inference to partners including Baseten, Cerebras, Cohere, Groq, Replicate and Together.
Exposes an OpenAI compatible endpoint at https://router.huggingface.co/v1.
Switches provider by appending a fastest, cheapest or preferred suffix to a model id.
Passes provider inference rates through without a markup.
Bills inference to an organisation through an X-HF-Bill-To header.
Connects SAML or OIDC identity providers, provisions by SCIM and pins data to a US or EU region.
Caps a single file at 500GB and a folder at 10,000 files.

What people use it for

Publishing a model demo on a GPU without renting a GPU by the hour.
Pointing an OpenAI SDK client at the router to reach several inference providers with one key.
Switching a model call to the cheapest provider by adding a suffix to the model id.
Charging a team's inference spend to the organisation rather than a personal account.
Keeping a private dataset under 100GB without paying for storage.
Storing repository data in the EU to satisfy a customer's data residency requirement.
Splitting a large checkpoint into chunks so no single file breaches the 500GB limit.
Costing a demo before publishing it, using the published per hour hardware rates.

Key facts about Hugging Face
Category	AI
Pricing	Freemium
Free tier	Yes
Upvotes	8
Listed	22 August 2026

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