The Together AI alternative with a platform underneath.
This compares Podstack Cloud’s Inference with Together AI’s serverless endpoints: an OpenAI-compatible API billed per token that scales to zero when idle, backed by the same wallet that also buys QuickPods and TrainPods GPUs.
Why teams move from Together AI
One wallet, more than an API
Together AI’s serverless endpoints are the product; scaling up compute means adding a separate provider. The same Podstack wallet that pays for Inference also buys QuickPods and TrainPods GPUs.
Bring your own runtime
Together AI serves its own model catalog through its own runtime. Podstack Inference exposes an OpenAI-compatible API for open and frontier models, and a QuickPod can run your own vLLM instance with your own weights when you need more control.
Idle cost
An idle Podstack Inference endpoint costs nothing, the same as a serverless endpoint with no traffic, with the difference that the same account also runs persistent pods.
Terms that flow down
Reliability terms on Together AI are set by the provider. On Podstack, uptime and response terms flow into the operator agreement, and every region has more than one operator.
Podstack vs Together AI, feature by feature
| Feature | Podstack | Together AI |
|---|---|---|
| Platform | Inference, QuickPods and TrainPods on one wallet | Serverless inference and fine-tuning API |
| Compute model | Managed endpoints, or bring your own vLLM on a QuickPod | Managed serverless endpoints and GPU cluster rental |
| API | OpenAI-compatible | OpenAI-compatible |
| Billing unit | Per token, idle endpoints cost nothing | Per token |
| Persistent storage | S3-compatible bucket with no egress fees, shared across every Podstack Cloud product | API-scoped storage |
| Model choice | Open and frontier models, or your own weights on a QuickPod | Provider model catalog |
| Reliability terms | Flow into the operator agreement; more than one operator per region | Provider-set terms |
| Pricing | Quoted per team; billed per token | Public per-token rates |
Moving from Together AI
The same wallet and CLI carry a project from an endpoint to a full pod.
Point your client at Podstack Inference
Change the base URL and API key in any OpenAI-compatible SDK, and pick a model from the catalog.
podstack models listMove any weights you serve yourself into object storage
If you run your own model instead of a catalog one, sync it into an S3-compatible bucket with no egress fee when an endpoint reads it.
podstack files upload model.safetensorsDeploy an endpoint, or launch a pod for more control
Ship a managed endpoint from the same wallet, or launch a QuickPod running your own vLLM when you need to control the runtime.
podstack deployQuestions, answered.
Why look for a Together AI alternative?
Together AI is a serverless inference and fine-tuning API. Podstack Inference offers the same OpenAI-compatible, per-token, scale-to-zero shape, backed by a platform that also runs QuickPods and TrainPods from the same wallet.
Is Podstack cheaper than Together AI?
Podstack pricing is quoted per team and billed per token, rather than compared line by line against a public rate card.
Can I use the same account for pods and reserved GPUs?
Yes. The same Podstack wallet that pays for Inference also buys QuickPods and TrainPods GPUs, so scaling past an API call does not mean adding another vendor.
How do I migrate from Together AI to Podstack?
Point your client at Podstack Inference and pick a model, or sync your own weights into object storage and deploy an endpoint or a QuickPod for more control.
Does Podstack have an SLA?
Uptime and response terms flow into the operator agreement behind them, and every region has more than one operator.
Is my data safe on Podstack?
Podstack is an ISO 27001 certified platform and operations, with per-tenant isolation via PodVirt and region pinning including India.
Own your inference stack.
Podstack Inference bills per token and scales to zero, and the same wallet buys QuickPods and TrainPods when a project needs more than an endpoint.