Hugging Face vs ONNX
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. ONNX is completely free, while Hugging Face is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Model and dataset hub
- Spaces demo apps
- Inference Providers
- Inference Endpoints
- Transformers library
- Standard model file format
- Common operator set
- Framework export support
- Runtime and accelerator support
- Open governance
| Feature | Hugging Face | ONNX |
|---|---|---|
| Best for | The main hub for open models, datasets and AI demo apps | Open file format for moving ML models between frameworks |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Free |
| Starting price | $9/mo | Free |
| Free plan | Yes | Yes, fully free |
| Made by | Hugging Face | ONNX community (LF AI & Data) |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
ONNX is completely free, while Hugging Face is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
4 plans
Free
Free
- Host unlimited public models and datasets
- Free CPU Spaces
PRO
$9/mo
- 10x private storage
- $2 inference credits monthly
- 8x ZeroGPU quota
- Spaces Dev Mode
Team
$20/mo
- Per user
- SSO (SAML and OIDC)
- Audit logs and resource groups
- Storage regions
Enterprise
$50/mo
- Per user
- Highest storage and rate limits
- SCIM provisioning
- Managed billing
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Hugging Face
- Largest open model catalog
- Free hosting for demos
- Huge community
- Model quality varies widely
- Inference credits are small on free
- Can overwhelm newcomers
ONNX
- Supported by many frameworks and runtimes
- Free and open source
- Eases moving models to new hardware
- Not every operator converts cleanly
- Needs a separate runtime to execute models
- Aimed at ML engineers, not end users
Which one should you choose?
Choose Hugging Face if you want:
- Largest open model catalog
- Free hosting for demos
- Huge community
Watch out: model quality varies widely.
Choose ONNX if you want:
- Supported by many frameworks and runtimes
- Free and open source
- Eases moving models to new hardware
Watch out: not every operator converts cleanly.
Hugging Face vs ONNX FAQ
What is the difference between Hugging Face and ONNX?
Hugging Face: The main hub for open models, datasets and AI demo apps. ONNX: Open file format for moving ML models between frameworks. Both are models & apis tools.
Is Hugging Face or ONNX cheaper?
ONNX is completely free, while Hugging Face is freemium.
Do Hugging Face and ONNX have free plans?
Hugging Face: Yes. ONNX: Yes, fully free.
Who makes Hugging Face?
Hugging Face is made by Hugging Face, based in United States.
Who makes ONNX?
ONNX is made by ONNX community (LF AI & Data).
Which should I choose, Hugging Face or ONNX?
Choose Hugging Face if you value largest open model catalog and free hosting for demos. Choose ONNX if you value supported by many frameworks and runtimes and free and open source.