Run open-source models through a hosted API with one call
Replicate hosts thousands of open-source models and exposes each one through a simple API call, so you can run image, video, audio and language models without provisioning a GPU. You pick a model, send inputs, and either wait for the result or subscribe to a stream. The platform also lets you package your own model with Cog and deploy it the same way. The differentiator is breadth plus zero setup: it is the fastest path from reading about a model to getting real output, and per-second billing means idle capacity costs nothing.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
image and video generation, audio processing, rapid prototyping, custom model hosting
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You pay for the compute time a prediction uses, billed by the second, and idle models cost nothing because they scale to zero. Costs therefore depend on model size and how long each run takes.
Yes. You package it with Cog, push it to a registry, and Replicate builds and serves it with the same API as the hosted catalogue. Hardware type and scaling options are set at deploy time.
Popular models stay warm, but less-used ones have to load onto a GPU first, which adds a cold-start delay. Keeping a model warm costs more, so the trade-off is latency against spend.
Developer console and API keys for the Claude model family
Node-based local interface for running image and video diffusion models
Browser playground for prompting and prototyping with Gemini models
Hosted Jupyter notebooks with optional free GPU and TPU runtimes