LLM Hangar / Alternatives / Together AI
A Together AI alternative that runs in your own AWS account
What Together AI is good at
Together AI is a hosted inference cloud. It serves a wide catalog of open models behind a per-token API, scales instantly with no infrastructure to manage, and adds dedicated endpoints, fine-tuning and GPU clusters for teams that outgrow serverless. If you want to pay only for the tokens you use, switch between many models with one key, or absorb traffic spikes without thinking about capacity, Together is the better choice and this page will not change that.
Why teams look for an alternative
The reasons below are the ones Together's own pages document, not opinions about its service.
- Running in your own cloud is an enterprise conversation. Together's docs describe VPC-based deployments, including in EU regions, as an enterprise arrangement. There is no self-serve way to have a model provisioned inside your own AWS account.
- On serverless you do not choose where the model runs. Requests are handled on Together's infrastructure in the regions it operates; the published zero-data-retention setting limits what is kept, but the request still leaves your network and your account.
- The invoice is Together's, not your cloud provider's. Teams with AWS credits, reserved capacity or a negotiated rate cannot apply them to tokens bought from a third party.
Side by side
| Together AI | LLM Hangar | |
|---|---|---|
| Runs in your own cloud account | Enterprise VPC deployments via sales | Yes: AWS, Nebius or RunPod, self-serve |
| EU pinning surcharge | Not stated (EU regions are part of the enterprise VPC offer) | None: one checkbox pins every resource to EU member-state regions |
| Self-serve BYOC | No | Yes, 24-hour trial |
| Audit log tier | Not stated | Every plan, including the trial |
| Who sees the prompt | Together's infrastructure handles the request | Only the endpoint on your instance; nothing passes through LLM Hangar |
| Pricing model | Per token on serverless; dedicated endpoints per GPU hour | $39 per month for the platform; GPU hours billed by your provider |
| Certifications | See Together's trust pages | None claimed yet; controls are described on the security page |
What LLM Hangar is not
It is not a serverless, per-token API. Every deployment is one model on one GPU shape that fits it, running in your account until you stop or delete it, so it suits steady workloads, private data and teams that want their own endpoint, not bursty low-volume traffic that is cheaper per token. The Lab plan runs one GPU shape per deployment. There is no fine-tuning service, and the catalog is curated rather than exhaustive (you can also deploy a Hugging Face repository of your choosing).
Questions people ask
Is LLM Hangar cheaper than Together AI?
It depends on utilisation. Together AI bills per token, so a low or bursty volume costs very little. LLM Hangar is $39 per month plus the hourly price of a GPU in your own account, which wins once the instance is busy for a meaningful part of the day. Budget caps, self-destruct timers and wake/sleep schedules keep the hourly side bounded.
Can I keep my Together AI code?
Usually yes. Both expose an OpenAI-compatible API, so clients that already point at Together's base URL switch by changing the base URL, the API key and the model id. Working snippets are in using your endpoint.
Does Together AI offer deployments in my own cloud?
Together's published docs describe VPC-based deployments, including EU regions, as an enterprise arrangement made through sales. Its self-serve product runs on Together's own infrastructure.