Hugging Face
Verified Oct 15, 2026 ActiveHosting hub for models, datasets and demo apps
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
- Paid options from
- $9/mo
- Billing
- Monthly
PRO is $9/month for individuals and mainly raises quotas: 10x private storage, $2 of inference credits a month, 8x ZeroGPU. Team is $20/user/month and Enterprise $50/user/month, adding token control, SSO, SCIM and audit features. Compute is billed separately by the hour: Spaces hardware from $0.03/hr up to $23.50/hr, Inference Endpoints from $0.033/hr, and Hub storage from $12/TB/month public or $18/TB/month private.
Use tool ↗About Hugging Face
Hugging Face hosts hundreds of thousands of open models and datasets in versioned repositories, plus Spaces for running demos. It maintains the transformers and diffusers libraries and sells managed inference and private hosting.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- PRO $9/month with $2 included inference credits and 8x ZeroGPU, Team $20/user/month, Enterprise $50/user/month; Spaces hardware $0.03–$23.50 per hour, Inference Endpoints from $0.033/hour, storage $12/TB public and $18/TB private, on the pricing page (15 October 2026)huggingface.co ↗
- Hub of models, datasets and Spaces for the machine learning community, on the home page (15 October 2026)huggingface.co ↗
Is Hugging Face legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- TLS certificate
- Issued by Amazon, valid until Feb 27, 2027Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2016The vendor's own material, read by us
- Operated by
- Hugging Face, Inc., United StatesOur research, card verified Oct 15, 2026
Pros & cons of Hugging Face
If you touch open models at all you already need an account here; the free tier covers most individual work and PRO mainly buys quota rather than features.
Pros
- Free tier is genuinely usable for individuals and small projects
- De facto registry for open weights, so most releases land here first
- transformers and diffusers make the hosted artefacts directly runnable
- Compute is rented by the hour instead of bundled into the subscription
Cons
- Storage and compute bills accrue separately from the $9 PRO seat
- Repository quality is unpoliced; most model repos are abandoned experiments
- Free Spaces sleep and share ZeroGPU quota, so public demos can be slow
- SSO, audit logs and resource groups need the $20+/user Team tier
Best for
- ML engineers pulling open weights and datasets into a project
- Researchers publishing models or demo Spaces for others to try
- Teams wanting private model hosting without building their own registry
Not for
- Non-technical users looking for a finished consumer AI product
- Anyone who needs one vendor-supported model with an SLA out of the box
Watch out: PRO does not include compute — Spaces hardware, Inference Endpoints and storage above quota are billed on top, by the hour and by the terabyte.
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