Anthropic's developer API for the Claude model family, billed per million tokens with separate input, output and prompt-caching rates.
Usage-based pricing
Hugging Face
Hugging Face Hub is a platform for hosting and sharing machine learning models, datasets and demo apps (Spaces) in Git-based repositories. It offers model and dataset cards, a dataset viewer, Inference Providers for serverless model calls, Inference Endpoints for dedicated deployments, Spaces hardware including ZeroGPU, and organization features such as SSO, audit logs and storage regions on Team and Enterprise plans.
Overview
The Hub stores models, datasets and Spaces as versioned repositories with commit history, branches, pull requests and discussions, backed by the Xet storage system for large files. Model cards and dataset cards document provenance and limitations, and the Data Studio lets people browse dataset contents in the browser. More than a dozen libraries integrate with the Hub, including Transformers and the datasets library, and Spaces host Gradio, Streamlit, static or Docker apps, optionally on GPU hardware.
Compute is offered in several forms: Inference Providers route requests to third-party inference vendors at the provider's own rates with no markup from Hugging Face; Inference Endpoints run dedicated instances billed hourly; Spaces can be upgraded to paid CPU or GPU hardware; and Jobs run scheduled workloads. Organizations group people and repositories, with Resource Groups, token controls, audit logs and storage regions on paid organization plans.
Public repositories are free on a best-effort storage basis, and free accounts get 100 GB of private storage. PRO is a personal subscription at $9 per month with 1 TB private storage, up to 10 TB public storage and $2 of monthly compute credits. Team is $20 per user per month and Enterprise is listed at $50 per user per month through sales with annual commitments. Free users receive no monthly inference credits and must purchase credits to use Inference Providers.
Pricing
Free plan available; paid plans from USD 9 per month
Free
Free planFree
Limits: Best-effort public storage; 100 GB private storage; no monthly inference credits (credits must be purchased); CPU Basic and ZeroGPU Spaces hardware listed as free
The pricing page shows no Free plan card; the free tier is documented on the storage limits and Inference Providers pricing pages. Currency recorded as USD for consistency with the US pricing page (shown as $ only).
PRO
PaidUSD 9 per month
Limits: Up to 10 TB public storage and 1 TB private storage included; $2 of monthly compute credits; 8x ZeroGPU quota with highest queue priority; host up to 10 ZeroGPU Spaces; Spaces Dev Mode; Data Studio on private datasets; blog publishing
Conditions: Personal subscription
Currency inferred from the US pricing page (shown as $ only).
Team
PaidUSD 20 per user per month
Limits: SSO (SAML and OIDC); storage regions; audit logs; Resource Groups; repository analytics; token controls; 12 TB base public storage plus 1 TB per seat; 1 TB private storage per seat; $2 compute credits per seat per month; members get ZeroGPU and Inference Providers PRO benefits
Conditions: Paid by credit card
Currency inferred from the US pricing page (shown as $ only).
Enterprise
PaidUSD 50 per user per month, billed annually
Limits: Everything in Team; highest storage, bandwidth and API rate limits; SCIM provisioning; advanced security; managed billing with annual commitments; legal and compliance processes; dedicated support; 200 TB base public storage plus 1 TB per seat
Conditions: Sold through sales with custom onboarding and annual commitments
Currency inferred from the US pricing page (shown as $ only). Recorded as Paid rather than Enterprise because a per-user amount is published, although purchase is through sales.
Usage-based rates
| Item | Rate | Details | Source and check date |
|---|---|---|---|
| Inference Endpoints, 1x Nvidia A100 80GB (AWS) | USD 2.50 per hour, 1 GPU, 80 GB memory | Dedicated endpoint; CPU instances start at $0.03 per hour and other GPU types are listed on the pricing pageCurrency inferred from the US pricing page (shown as $ only). One representative GPU row; the page lists T4, L4, L40S, H100, H200, B200 and RTX PRO 6000 instances as well. | Source for Inference Endpoints, 1x Nvidia A100 80GB (AWS) (opens in a new tab)Checked October 24, 2026 |
| Spaces hardware, Nvidia T4 small | USD 0.40 per hour, 4 vCPU, 15 GB RAM, 16 GB VRAM | Upgraded Spaces hardware; CPU Basic and ZeroGPU are listed as freeCurrency inferred from the US pricing page (shown as $ only). One representative row from the Spaces hardware table. | Source for Spaces hardware, Nvidia T4 small (opens in a new tab)Checked October 24, 2026 |
Prices checked on October 24, 2026 from the vendor's official page. Vendors change prices; confirm before buying. How we check prices. Official pricing page (opens in a new tab)
Who it's for
ML engineers, researchers and teams who publish or consume open models and datasets, host demos, or need a shared private repository platform with inference and compute options.
Key features
Git-based repositories for models, datasets and Spaces with versioning, branches and pull requests Model cards, dataset cards and Data Studio for browsing datasets Spaces for Gradio, Streamlit, static and Docker apps with optional paid GPU hardware and ZeroGPU Inference Providers: serverless access to hosted models billed at provider rates Inference Endpoints: dedicated CPU, GPU and accelerator instances billed hourly Storage Buckets for mutable object storage and Jobs for scheduled compute Organizations with roles, Resource Groups, SSO, audit logs and storage regions on paid plans Hugging Face CLI, MCP server and agent tooling
Pros and limitations
Pros
Public repositories are hosted free of charge on a best-effort basis Inference Providers pass through provider prices with no markup Spaces CPU Basic and ZeroGPU hardware are listed as free Paid plans include monthly compute credits usable across inference, Spaces and Jobs
Limitations
Free accounts have 100 GB of private storage and best-effort public storage Free users receive no monthly inference credits and must buy credits to use Inference Providers Repository guidance limits a single file to 500 GB and recommends under 100k files per repo SSO, audit logs, storage regions and Resource Groups require Team or Enterprise organization plans Enterprise is sold through sales with annual commitments
Integrations
- Transformers
- Diffusers
- datasets library
- Gradio
- Streamlit
- Docker
- PyTorch
- TensorBoard
- OpenAI-compatible router API
- Python and JavaScript InferenceClient
- SAML and OIDC SSO
- SCIM
Use cases
Publishing an open model with documentation and an inference widget Hosting a demo app on Spaces for a paper or product Private model and dataset repositories for a team with access controls Calling hosted models through a single API routed to several inference providers Deploying a dedicated inference endpoint on GPU hardware
Tags
How this page was researched
This page is based on desk research of the vendor's public pages and documentation. SIDAN Stack has not tested this product hands-on. How we research. Last verified: October 24, 2026.
Sources
- Hugging Face pricing (opens in a new tab) - Pricing page, checked October 24, 2026
- Hugging Face Hub documentation (opens in a new tab) - Documentation, checked October 24, 2026
- Storage limits (opens in a new tab) - Documentation, checked October 24, 2026
- PRO subscription (opens in a new tab) - Documentation, checked October 24, 2026
- Inference Providers pricing and billing (opens in a new tab) - Documentation, checked October 24, 2026
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