Inference hosting
Together AI
Serverless and dedicated endpoints for a broad catalogue of open-weight models, plus fine-tuning.
- Category
- Inference hosting
- Pricing
- Usage-based
- Runs
- Hosted
- Interface
- API
- Source
- Proprietary
What Together AI is
Together AI serves a broad catalogue of open-weight models through serverless endpoints, and will also run dedicated instances or GPU clusters when you need guaranteed capacity. Fine-tuning and serving your resulting weights happen on the same platform, which removes a handoff.
Best for
Breadth of open-weight models in one place, and going from fine-tune to served endpoint without changing vendor.
Consider something else if
Serverless endpoints share capacity, so latency varies more than a dedicated instance.
Together AI alternatives
The closest options in inference hosting, on the axes that actually separate them.
| Tool | Best for | Pricing | Runs |
|---|---|---|---|
| Together AI | Breadth of open-weight models in one place, and going from fine-tune to served endpoint without changing vendor. | 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 |
| 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 |
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 Together AI?
Together AI serves a broad catalogue of open-weight models through serverless endpoints, and will also run dedicated instances or GPU clusters when you need guaranteed capacity. Fine-tuning and serving your resulting weights happen on the same platform, which removes a handoff. It is a commercial product and hosted.
What are the alternatives to Together AI?
The closest alternatives are Fireworks AI, Groq, Baseten, Modal, Replicate. They sit in the same category — inference hosting — and differ mainly on hosting model, pricing shape, and how much they abstract away.
Is Together AI the right choice?
Breadth of open-weight models in one place, and going from fine-tune to served endpoint without changing vendor. The main caveat: Serverless endpoints share capacity, so latency varies more than a dedicated instance.
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.