Tools
Baseten vs Hugging Face
Baseten or Hugging Face? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Choice of models, API, Runs models for you
- Only Baseten states: Self-hosted
- Only Hugging Face states: Official SDKs, Builds agents and workflows
Baseten
Baseten provides managed infrastructure to deploy, serve, train, and distribute open-source, custom, and fine-tuned AI models.
Plans
Basic
Free
- Dedicated deployments
- Model APIs
- Training
- Fast cold starts
- SOC 2 Type II and HIPAA compliant
- Email and in-app chat support
Dedicated Deployments — T4
- $0.01052 per minute
- 16 GiB VM
Dedicated Deployments — L4
- $0.01414 per minute
- 24 GiB VRAM
Dedicated Deployments — A10G
- $0.02012 per minute
- 24 GiB VM
Dedicated Deployments — A100
- $0.06667 per minute
- 80 GiB VRAM
Dedicated Deployments — H100 MIG
- $0.0625 per minute
- 40 GiB VRAM
Dedicated Deployments — H100
- $0.10833 per minute
- 80 GiB VRAM
Dedicated Deployments — B200
- $0.16633 per minute
- 180 GiB VRAM
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Choice of models — “You can deploy open source and custom models on Baseten.” source
- Self-hosted — “Yes, you can self-host Baseten in order to manage security and use your own cloud commitments.” source
- API — “Model APIs” source
- Runs models for you — “Instant access to pre-optimized models running on the Baseten Inference Stack.” source
Security
- SOC 2 Type II — “Baseten Labs, Inc. SOC 2 Type 2 Report 5.31.26.pdf” source
- SOC 2 — “Baseten Labs, Inc. SOC 2 Type 2 Report 5.31.26.pdf” source
- ISO 27001 — “Baseten Labs, Inc. ISO 27001 Certificate.pdf” source
- GDPR — “SOC 2 ISO 27001:2022 HIPAA CCPA GDPR PCI DSS - SAQ D” source
- HIPAA — “Baseten Labs, Inc. HIPAA Report 5.31.26.pdf” source
Latest updates
- Web search with Baseten Hosted Tools
Baseten Hosted Tools now brings server-side web search to Model APIs through Baseten Grounded Inference.
- Baseten CLI 1.0.0 (1.0.0)
The Baseten CLI is now generally available. Version 1.0.0 marks the command surface as stable.
- Model API Deprecation (GLM 4.7, Kimi K2.7, Kimi K2.6, Inkling, Inkling Small, DeepSeek v4 Pro)
GLM 4.7, Kimi K2.7, Kimi K2.6, Inkling, Inkling Small, and DeepSeek v4 Pro will be deprecated at 5pm PT September 25th.
Hugging Face
Hugging Face hosts AI models, datasets, apps, libraries, and tools for building, sharing, and deploying machine-learning systems.
Plans
PRO Account
- $9 /month
- 10× private storage capacity
- 2× public storage capacity
- 20× included inference credits
- 8× ZeroGPU quota and highest queue priority
- Host ZeroGPU, Gradio & Docker Spaces
- Spaces Dev Mode
Team
- $20 /month per user
- SSO support (SAML & OIDC)
- Data location control with Storage Regions
- Detailed action reviews with Audit Logs
- Granular access control via Resource Groups
- Repository usage Analytics
- Advanced auth policies and repository visibility controls
Enterprise
- $50 /month per user
- + All benefits from the Team plan
- Highest storage, bandwidth, and API rate limits
- Automated user management with SCIM provisioning
- Advanced security and access controls
- Managed billing with annual commitments
- Legal and Compliance processes
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Choice of models — “Browse 2M+ models” source
- API — “Access 45,000+ models from leading AI providers through a single, unified API with no service fees.” source
- Official SDKs — “Python client to interact with the Hugging Face Hub” source
- Runs models for you — “Deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub.” source
- Builds agents and workflows — “Smol library to build great agents in Python” source
Latest updates
- Transformers now runs llama.cpp quants
Transformers now runs llama.cpp quants.
- tokenizers v1: encode, decode and scaling, measured (v1)
tokenizers v1 covers encode, decode, and scaling.
- NeoMME: an efficient Multimodal-native and Multilingual Encoder
NeoMME is a multimodal-native and multilingual encoder.