What is Replicate?
Replicate hosts a catalog of public machine learning models (image, video, audio and text generation) callable through a uniform HTTP API, and lets developers package and deploy their own models using Cog, Replicate's open-source tool for containerizing ML models. Billing is usage-based: public model calls are billed per output (e.g., per image or per second of audio/video), and private/custom model deployments are billed for all instance runtime, including idle and setup time.
Read the full overview
Sources checked 27 September 2026: official website, documentation, pricing.
Key capabilities
- Model catalog: Thousands of public open-source models callable via API.
- Cog: An open-source tool to containerize and deploy your own model to Replicate.
- Usage-based billing: Per-output pricing for public models; per-second instance billing for private deployments.
Hosted inference for public and custom machine learning models, aimed at developers who want an API rather than infrastructure to manage.
Consider Replicate when you want to call or fine-tune existing open models without provisioning your own GPU infrastructure. Because private deployments bill for idle instance time, model warm-up and autoscaling behavior matter as much as the per-call price when estimating real cost.
A low per-call rate can still produce a high bill once idle time, cold starts and autoscaling are included for a private deployment; a useful trial measures true end-to-end cost for your actual traffic pattern, not just the advertised per-unit price.
Technical details
- Access
- See vendor
- Source model
- Other license
- Founded
- 2019
- Headquarters
- San Francisco, USA
- Pricing model
- Paid
- API
- Available
- Website
- replicate.com ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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