AI Tool
Hugging Face pricing, features, company info, and alternatives
A factual product page for Hugging Face as a collaborative ML platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Hugging Face, last verified Apr 19, 2026.
Hub
$0 / month
PRO
$9 / month
Team
$20 / user/month
Enterprise
$50 / user/month
Starting price.
What You Can Do With It
The main capabilities that shape how people use Hugging Face today.
Host and collaborate on models, datasets, Spaces, and apps.
Inference providers and dedicated inference endpoints for deployment.
Core ML libraries and tooling for training, inference, and evaluation.
Dataset viewer, Spaces, and collaborative publishing features.
Best For
Who Hugging Face is most clearly built for.
ML teams that need a platform for models, datasets, and apps.
Builders deploying open models or shared demos.
Teams that want both community collaboration and enterprise controls.
Company
Leadership and company context for Hugging Face, Inc..
CEO
Clement Delangue
Founders
Clement Delangue, Julien Chaumond, Thomas Wolf
Investors
Google, Amazon, NVIDIA, Salesforce, Sequoia Capital, Coatue, Lux Capital, Addition
Headquarters
Brooklyn, NY, USA
Platforms
Where you can use Hugging Face today.
Web
API
CLI
Integrations
Notable connected tools and ecosystem hooks for Hugging Face.
Transformers
Diffusers
Spaces
Inference Providers
Inference Endpoints
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Hugging Face.
Hugging Face supports private repositories, access tokens, MFA, and resource groups.
Inference Endpoints do not store customer payloads or tokens, and logs are retained for 30 days.
Compliance
Public compliance or enterprise-governance signals we found for Hugging Face.
GDPR
SOC 2 Type 2
Business Associate Addendum
Data processing agreements
Access
How to integrate or build around Hugging Face.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Hugging Face.
Unified API and chat layer for routing across hundreds of AI models and providers.
Open-source platform for building AI apps, agents, and RAG workflows.
Workflow automation platform for building AI agents and integrations with code or low-code.
Product Snapshot
Hugging Face is an open AI platform for models, datasets, apps, deployment, and collaboration. It is aimed at mL teams that need a platform for models, datasets, and apps.
What You Can Do With It
- Host and collaborate on models, datasets, Spaces, and apps.
- Inference providers and dedicated inference endpoints for deployment.
- Core ML libraries and tooling for training, inference, and evaluation.
- Dataset viewer, Spaces, and collaborative publishing features.
Why It Stands Out
It is built for mL teams that need a platform for models, datasets, and apps.
Tradeoffs To Know
- Hugging Face supports private repositories, access tokens, MFA, and resource groups.
- Inference Endpoints do not store customer payloads or tokens, and logs are retained for 30 days.
- The free Hub is the starter surface, while Team and Enterprise add SSO, audit logs, resource groups, and larger private-storage quotas.
Changes to this tool page
- April 2026 Added a note that Hugging Face's free Hub is the starter surface while Team and Enterprise add SSO, audit logs, and larger storage.
- April 2026 Removed a generic desktop-workflow tradeoff that was not specific enough to this tool after a catalog review.
Sources
- huggingface.co/pricing
- huggingface.co/docs/inference-endpoints/pricing
- huggingface.co/docs/hub/en/jobs-pricing
- huggingface.co/privacy
- huggingface.co/terms-of-service
- huggingface.co/blog/hugging-face-pollen-robotics-acquisition
- huggingface.co/datasets/huggingface/policy-docs/resolve/be7c8e9241323becab73dd4b772c3e03986aad1f/2023_HCSST_CongressionalTestimony.pdf
- huggingface.co/blog/series-c
- forbes.com/companies/hugging-face
- crunchbase.com/organization/hugging-face
- huggingface.co/docs
- huggingface.co
- huggingface.co/docs/hub/security
- huggingface.co/docs/inference-endpoints/en/security