Replicate.
Model-API platform — any open model behind one endpoint via the Cog runtime.
What it is.
San Francisco platform built by the founders, the engineers behind Docker Compose. Cog is the open-source runtime that packages any model into a versioned container; Replicate is the hosted endpoint that runs those containers on shared GPUs. The community library exceeded 10,000 public models in 2025. Backed by a16z and Sequoia.
Where it fits.
Builders and agencies who need a fast path from a research paper or a Hugging Face checkpoint to a working API. The default landing spot for indie developers running Flux, video models, and niche audio fine-tunes. Less suited to high-volume production text inference — Together, Fireworks, and Groq own that tier — and more suited to media-model workloads and prototyping.
- Largest catalog of community-hosted open models
- Cog runtime makes any model into a versioned API in minutes
- Pay-per-second pricing aligns with bursty creative workloads
- Cold-start latency uncompetitive for low-traffic endpoints
- Less optimised for text-LLM throughput than Together or Fireworks
Frequently asked.
What is Cog?
Replicate's open-source model packaging runtime. Cog wraps Python inference code in a standard container that runs on Replicate or any compatible GPU host. The format has wide adoption beyond Replicate itself.
When should I use Replicate over Together?
For image, video, and audio models, and for niche fine-tunes outside the mainstream catalog. For high-volume text inference at frontier quality, Together and Fireworks usually win on per-token economics.
How does Replicate handle cold starts?
Shared endpoints can see 10 to 30 seconds of cold-start latency on infrequently used models. Dedicated deployments on Enterprise remove the cold-start cost in exchange for fixed hourly compute.
