7 Railway alternatives for hosting an AI app (2026): what each actually costs

Render feels the most like Railway: you point it at a Git repo or a Docker image and it runs your web service, background workers, cron jobs and Postgres side by side. The Hobby workspace itself costs nothing; you pay for each running service, from $7 a month.

For an AI app that matters because workers (the part that calls a model, processes a queue or runs an agent) are first-class here, not an add-on. The free tier is fine for a demo, but it sleeps when idle, so put anything real on a paid instance.

Fly.io runs your app as small virtual machines that start in a moment, in regions around the world. There's no plan fee: a running Machine is billed by the second, and a stopped one costs only its disk.

That makes it the cheapest "always on" option here for a small API or bot. It's less of a one-click platform than Railway, and it isn't the place for GPUs any more: Fly's own GPU page now points to a post about scaling back its GPU plans.

App Platform builds and runs your app from GitHub, GitLab, Bitbucket or a Docker image, without you managing servers. The smallest container is $5 a month and includes 50 GiB of transfer, and a development Postgres database is $7.

It's a good fit if the rest of your stack already lives on DigitalOcean, for example a GPU Droplet for the model and App Platform for the app around it. Be aware that its pricing table and its FAQ disagree on whether apps that run code get a free tier: the FAQ says only static sites do.

Coolify is the self-hosted take on Railway: an open-source dashboard you install on your own server, then deploy apps, databases and hundreds of one-click services from Git, a Dockerfile or Docker Compose.

The software costs nothing, so your bill is whatever the server costs. Pair it with a small VPS and you have a Railway-style workflow at VPS prices. The trade-off is that the server, its updates and its backups are now your job. Coolify Cloud ($5 a month) runs the dashboard for you, but you still bring your own servers.

Cloud Run runs any container and scales it up with traffic and back down to zero, so an app nobody is using costs nothing. There's a monthly free tier on top, and new Google Cloud customers get $300 in credits.

For AI it has something Railway doesn't: on-demand NVIDIA L4 GPUs that start in about five seconds and also scale to zero. The catch is that it's a full Google Cloud product, with Google Cloud's billing and console to learn.

Heroku is the long-running "push your code and it runs" platform that Railway is most often compared with. There's no free plan: the cheapest option is $5 a month for a 1,000-hour pool of Eco dynos, with Postgres from $5 and Key-Value from $3.

What's new is Managed Inference and Agents, which hosts AI models (including Claude models) next to your app, priced per million tokens. For anything that must stay awake, budget for Basic dynos at $7 a month.

Vercel isn't a like-for-like Railway replacement: it hosts front ends and serverless functions rather than long-running workers. For an AI app that's mostly a web front end calling model APIs, though, it's often the easiest home.

Its billing suits that kind of app: time a function spends waiting for an AI model to answer doesn't count as active CPU. Watch the function time limit (300 seconds on Hobby, 800 on Pro) if your agents run long.