Criterion Hugging Face Replicate
CategoryMachine Learning & Deep LearningAI Deployment & Monitoring
In one sentenceHub for sharing open models, datasets and demo apps, with paid compute for inference and hosting.Run and deploy open-source and custom AI models through an API, paying per second of hardware or per output.
Problem it solvesFinding, sharing and running open models without building your own model registry and infrastructure.Using or deploying AI models, especially image and video models, without managing GPUs.
Free planYesNo
Developer APIYes — docsYes — docs
Open sourceNoNo
PlatformsWeb, Python and JavaScript libraries, REST APIWeb, REST API
Pricing (summary)The hub is free to use. PRO costs $9/month with $2 monthly compute credits, Team is $20/user/month and Enterprise $50/user/month. Compute is billed separately: Spaces GPUs and Inference Endpoints hourly, Inference Providers at provider rates.
Checked 2026-10-19		Usage-based. Public models mostly bill by hardware time (e.g. Nvidia T4 $0.81/hr, A100 80GB $5.04/hr, H100 $5.49/hr, billed per second). Some official models bill per output or token, such as flux-1.1-pro at $0.04 per image.
Checked 2026-10-19
Strengths
  • Huge open ecosystem
  • Free tier for hosting and sharing
  • Flexible compute options
  • Simple pay-per-use pricing
  • Huge model selection
  • Good for media models
Limitations
  • Free users get no included Inference Providers credits
  • Costs spread across storage, Spaces and endpoints can be hard to track
  • Model licences vary per repository and must be checked
  • No free tier mentioned on the pricing page
  • Private deployments bill idle time
  • Costs vary by model runtime and can be hard to predict