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Replicate

Replicate lets developers run, deploy, and scale machine learning models through a web interface or cloud API.

Replicate

Replicate provides a web interface and API for running public machine learning models, including models for image, video, audio, and text tasks. Developers can integrate models into websites, chatbots, mobile apps, and other software.

Teams can also package and deploy custom models with Cog, create public or private models, and monitor predictions with logs and metrics. Usage is billed by compute time or model-specific input and output; private deployments may also incur setup and idle costs.

Features

  • Run public machine learning models through a cloud API
  • Run models from a browser-based web interface
  • Search and compare public models
  • Deploy custom models with the open-source Cog tool
  • Create public or private custom models
  • Automatically scale model deployments with demand
  • Inspect prediction logs and performance metrics

Use cases

  • Add image generation to a website or mobile app
  • Build chatbots that call hosted language models
  • Deploy a custom computer-vision model without managing GPUs
  • Generate or transform video and audio through an API
  • Test models in the browser before integrating them into software

Pros

    Cons

      Pricing

      Starting price
      $0.000025/sec
      Pricing checked
      2026-09-19

      CPU (Small)

      $0.000025/sec; $0.09/hr

      • 1x CPU
      • 2GB RAM

      CPU

      $0.000100/sec; $0.36/hr

      • 4x CPU
      • 8GB RAM

      Nvidia A100 (80GB) GPU

      $0.001400/sec; $5.04/hr

      • 1x GPU
      • 10x CPU
      • 80GB GPU RAM
      • 144GB RAM

      2x Nvidia A100 (80GB) GPU

      $0.002800/sec; $10.08/hr

      • 2x GPU
      • 20x CPU
      • 160GB GPU RAM
      • 288GB RAM

      Nvidia H100 GPU

      $0.001525/sec; $5.49/hr

      • 1x GPU
      • 13x CPU
      • 80GB GPU RAM
      • 144GB RAM

      Nvidia L40S GPU

      $0.000975/sec; $3.51/hr

      • 1x GPU
      • 10x CPU
      • 48GB GPU RAM
      • 65GB RAM
      Official website