Inference hosting
Baseten
Deploys custom and open-weight models as autoscaling production endpoints.
- Category
- Inference hosting
- Pricing
- Usage-based
- Runs
- Hosted
- Languages
- Python
- Interface
- API, CLI, Dashboard
- Source
- Proprietary
What Baseten is
Baseten packages a model — open-weight or your own — into an autoscaling production endpoint, handling containerisation, GPU scheduling, and scaling. It sits between a fixed catalogue endpoint and raw GPU compute: more control than the former, less infrastructure work than the latter.
Best for
Putting a custom or fine-tuned model into production as a real endpoint with monitoring and autoscaling.
Consider something else if
More setup than calling a catalogue endpoint; if a standard model fits, that is less work.
Baseten alternatives
The closest options in inference hosting, on the axes that actually separate them.
| Tool | Best for | Pricing | Runs |
|---|---|---|---|
| Baseten | Putting a custom or fine-tuned model into production as a real endpoint with monitoring and autoscaling. | Usage-based | Hosted |
| Modal | Custom inference code, batch GPU work, and anything a fixed endpoint cannot express. | Usage-based | Hosted |
| Replicate | Multi-modal work and trying many community models without deploying any of them yourself. | Usage-based | Hosted |
| Fireworks AI | Serving many fine-tuned variants where a dedicated deployment each would not pay. | Usage-based | Hosted |
| Groq | Interactive products where response speed matters more than reaching for the strongest model. | Usage-based | Hosted |
| Together AI | Breadth of open-weight models in one place, and going from fine-tune to served endpoint without changing vendor. | Usage-based | Hosted |
Choosing within inference hosting
Per token or per second
Per-token endpoints are simple and idle for free. Per-second compute is more flexible and bills for cold starts and idle capacity unless you scale to zero. Pick by whether you need custom code in the loop.
Cold starts
Serverless GPU means a container that may not be running. First-request latency after idle can be seconds. Check whether the provider offers warm pools and what keeping one costs.
Questions
What is Baseten?
Baseten packages a model — open-weight or your own — into an autoscaling production endpoint, handling containerisation, GPU scheduling, and scaling. It sits between a fixed catalogue endpoint and raw GPU compute: more control than the former, less infrastructure work than the latter. It is a commercial product and hosted.
What are the alternatives to Baseten?
The closest alternatives are Modal, Replicate, Fireworks AI, Groq, Together AI. They sit in the same category — inference hosting — and differ mainly on hosting model, pricing shape, and how much they abstract away.
Is Baseten the right choice?
Putting a custom or fine-tuned model into production as a real endpoint with monitoring and autoscaling. The main caveat: More setup than calling a catalogue endpoint; if a standard model fits, that is less work.
Whatever you build on, the model is the line item that scales. See what each one costs per million tokens, or price your own workload.