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.
This comparison is generated from the sourced Replicate and Together AI profiles. Open either profile to review its evidence and last-reviewed date.