Replicate vs Together AI: Complete AI Inference Comparison
Compare Replicate and Together AI on model offering, pricing, latency, and developer experience. Discover which AI inference platform best fits your project.
Replicate
A platform for running open-source ML models via a simple API. Replicate hosts thousands of models (LLMs, image generation, speech) and charges per-second compute. No infrastructure management — you call models as an API and pay per use.
Together AI
An inference platform focused on hosting open-source LLMs and embeddings with low latency and favorable pricing. Together offers Llama, Mistral, Qwen, and proprietary models via a unified API. Strong in throughput and developer experience.
Comparison table
| Feature | Replicate | Together AI |
|---|---|---|
| Model offering | Very broad — LLMs, image, audio, video models | Focus on LLMs and embeddings — less image/audio |
| Pricing | Per-second GPU — varies per model | Per token — often more favorable for text |
| Cold start | Can be slower — models load on demand | Faster cold start for popular models |
| API style | REST — different inputs/outputs per model | OpenAI-compatible API — easy swap |
Verdict
Replicate is ideal for broad model offering and multimodal use cases. Together AI excels for pure LLM inference with favorable pricing and low latency. Choose Replicate for image/video/speech; choose Together for production LLMs.
Our recommendation
At AVARC Solutions we use Replicate for image and video models (e.g. Stable Diffusion), and Together for text LLMs when cost efficiency and latency are priorities. Both integrate easily into Next.js and Node.js backends.
Frequently asked questions
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