Replicate vs Together AI
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Replicate if you want run and fine-tune open-source ai models with a cloud api, billed per second (Assistant, usage); choose Together AI if you want cloud for running, fine-tuning, and serving open-source ai models (Assistant, usage).
| Replicate | Together AI | |
|---|---|---|
| What it is | Run and fine-tune open-source AI models with a cloud API, billed per second | Cloud for running, fine-tuning, and serving open-source AI models |
| Type | platform | platform |
| Autonomy | Assistant | Assistant |
| Pricing | usage · Usage-based: from $0.000025/sec (CPU), $0.000225/sec (T4), $0.001400/sec (A100 80GB), $0.001525/sec (H100); some models priced per output (e.g. FLUX Pro $0.04/image) | usage · Per-token usage from ~$0.03 / 1M input tokens; GPU clusters from ~$3.29/hr reserved |
| Best for | developers, smb, mid-market | developers, enterprise, mid-market |
| Deployment | api, saas | api, saas, on-prem |
| Modalities | api, code, image, video, voice, text | text, code, image, video, voice, api |
| Models | model-agnostic, open-source, claude | llama, open-source, model-agnostic |
| Protocols | rest-api | function-calling, rest-api |
| Integrations | Python SDK, Node.js SDK, HTTP API, Webhooks, ComfyUI, Cog | OpenAI SDK, LangChain, LlamaIndex, Vercel AI SDK, Hugging Face |
| Capabilities | 4 documented | 6 documented |
Replicate
- +Huge catalog of open-source models runnable with a single API call, no GPU provisioning
- +Transparent per-second (or per-output) usage billing that scales to zero when idle
- +Cog lets you package and deploy your own models on the same managed infrastructure
- -It is inference infrastructure and tooling, not a turnkey agent; you build the application around it
- -Cold boots can take tens of seconds to minutes for rarely-used models and are billed at the running rate, so latency and cost can be unpredictable without warm deployments
Together AI
- +Large catalog of open models across text, image, audio, and video
- +OpenAI-compatible API makes migration nearly drop-in
- +Full ladder from serverless to dedicated endpoints to raw GPU clusters
- -Serves open and bring-your-own models; no proprietary frontier model of its own
- -It is an inference and compute layer, not an end-to-end agent: orchestration is on you
Which should you choose?
Replicate is run and fine-tune open-source ai models with a cloud api, billed per second, best for developers, smb, mid-market. Together AI is cloud for running, fine-tuning, and serving open-source ai models, best for developers, enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.