Replicate's scope is broader than most LLM-specific inference platforms: alongside language models, it hosts a huge library of open-source models for image generation, video, audio, and other modalities, all callable through the same simple API pattern. That breadth has made it a common choice for developers building products that need several different kinds of AI models rather than only text generation.
Any developer can also publish their own model to Replicate using Cog, its open-source tool for packaging a model with its dependencies into a deployable container, which turns Replicate into a marketplace of sorts as well as an inference platform, with thousands of community-published models alongside the well-known ones.
Pricing is pay-per-use, billed by compute time rather than a flat subscription, which works well for spiky or experimental workloads and less well for very high, steady-volume production use, where dedicated infrastructure or a provider like Together AI can end up cheaper at scale.