Hugging Face Pricing Explained: Plans, Costs and What You Get
Hugging Face pricing has five separate bills, not one. Here are the plan prices, endpoint rates, Spaces hardware, and storage costs — what you pay.
By Galactic News Editorial · Published 2026-11-08T04:28:04+00:00 · Updated 2026-11-08T04:28:04+00:00
Hugging Face Pricing Explained: Plans, Costs and What You Get
Hugging Face pricing has five separate bills, not one. Your account plan covers your Hub seat. Running models costs extra, through Spaces hardware, Inference Providers, or Inference Endpoints. This guide explains each part, with the current prices from Hugging Face's own pricing page, so you can see what you actually pay.
Hugging Face pricing: the account plans
The Hub itself is free for public work. Public models and datasets cost nothing to browse and use, within rate limits. Paid plans add storage, credits, and governance.
PRO costs $9 a month for an individual account. It gives 10 times the private storage capacity, twice the public storage, and $2 a month in included inference credits instead of $0.10 on the free plan. It also gives 8 times the ZeroGPU quota with the highest queue priority, plus Spaces Dev Mode over SSH or VS Code and a private dataset viewer.
Team costs $20 per user per month. It adds single sign-on through SAML and OIDC, audit logs, storage regions for data location control, resource groups, and repository analytics. Every member gets the PRO benefits, and the $2 monthly inference credits per seat are pooled across the organisation.
Enterprise starts at $50 per user per month, sold through sales. It adds SCIM automated user provisioning, the highest storage, bandwidth, and API rate limits, managed billing with annual commitments, and dedicated support. The $50 figure is a floor. Large contracts with volume commitments are negotiated.
| Plan | Price | Included inference credits | Best for |
|---|---|---|---|
| Free | $0 | $0.10/mo | Exploring public models |
| PRO | $9/mo | $2/mo | Solo power users |
| Team | $20/user/mo | $2/seat/mo, pooled | Teams needing SSO and governance |
| Enterprise | From $50/user/mo | $2/seat/mo, pooled | Security, scale, and compliance |
Inference Endpoints: dedicated deployments by the hour
Inference Endpoints deploy one model to dedicated, autoscaling infrastructure on AWS, Azure, or Google Cloud. There are no cold starts. Billing is per hour by instance, metered by the minute. Prices below are the AWS list from Hugging Face's pricing page, checked November 8, 2026.
CPU instances start at $0.03 an hour for one vCPU with 2 GB of memory. GPU instances start at $0.50 an hour for a T4 with 14 GB of memory. An L4 costs $0.80 an hour, an A10G $1.00, an A100 with 80 GB $2.50, an H100 with 80 GB $4.50, an H200 with 141 GB $5.00, and a B200 with 179 GB $9.25. An RTX PRO 6000 with 96 GB costs $2.75 an hour.
Always-on costs add up fast. A single H100 endpoint running all month costs $3,240, at the monthly price on the pricing page. An A100 costs $1,800 a month. A T4 costs $360 a month. Scale to zero or use serverless inference when traffic is bursty. Reserve dedicated endpoints for steady production traffic.
Spaces hardware and Inference Providers
Spaces host demos and apps on the Hub. CPU Basic is free. CPU Upgrade costs $0.03 an hour. GPU-backed Spaces start at $0.40 an hour for a small T4, $0.80 for an L4, $1.00 for an A10G, $2.50 for an A100, and $2.75 for an RTX PRO 6000. ZeroGPU, which runs on an RTX PRO 6000 with up to 96 GB, is free but shared and queued. PRO subscribers get 8 times the ZeroGPU quota and the highest queue priority.
Inference Providers is a routing layer over outside vendors such as Groq, Together, Cerebras, and Fireworks. You reach them through one key. Provider rates are passed through with no Hugging Face markup. Your monthly credits pay for usage: $0.10 on the free plan, $2 on PRO, and $2 per seat on Team and Enterprise. Once credits run out, usage is billed at the provider's per-token rate.
Storage: what it costs to keep models and datasets
Storage is billed per terabyte, with egress and CDN included at no extra cost. AWS S3 storage costs $23 per terabyte. Backblaze Overdrive costs $15 per terabyte. Hugging Face Hub storage costs $8 to $12 per terabyte. PRO gives 10 times the private storage capacity of the free plan. Teams and enterprises get the highest storage limits. If you need more than 500 TB, Hugging Face offers custom pricing through sales.
How to estimate your monthly bill
Add the parts together. A solo developer on PRO pays $9 a month plus compute. A small team of five on Team pays $100 a month for seats, plus compute on top. Compute is the variable part, and it is usually the largest part.
Work through three questions. First, how many hours a day will each endpoint run? Second, which GPU does the model need? Third, how much inference traffic will flow through Inference Providers? A T4 endpoint running 8 hours a day costs about $120 a month. The same endpoint running around the clock costs $360. An H100 running 8 hours a day costs about $1,080 a month. Around the clock, it costs $3,240.
Use the included credits first. The $2 monthly credit on PRO covers light serverless use. For heavier use, compare the per-token cost on Inference Providers against the hourly cost of a dedicated endpoint. Serverless wins for spiky traffic. Dedicated wins for steady traffic.
Bottom line
Hugging Face is free for public work, and PRO at $9 a month is the best-value upgrade for a solo developer, mainly for the ZeroGPU quota and Spaces Dev Mode. Team at $20 per user per month makes sense once you need single sign-on and audit logs. Enterprise from $50 per user per month is for organisations that need SCIM and dedicated support. The plan price is the price of admission. The compute bill is the real cost, so budget endpoints by the hour and check the pricing page before you deploy.