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Klio Compute vs Google Cloud Run

Klio Compute and Google Cloud Run side by side: where each is the better choice, features, and GPU prices per hour from Google Cloud Run's own pricing page.

For agents: this page as markdown

In short

Google Cloud Run: Google Cloud's managed platform for running containers, with on-demand NVIDIA GPUs attached to services.

Klio Compute: serverless GPUs for Python. Run a function on a GPU with one decorator, deploy endpoints, task queues, schedules and sandboxes, or put an open model behind an OpenAI-compatible API, and pay per second from prepaid credit.

Where Google Cloud Run is the better choice

  • Any container, inside Google Cloud alongside the rest of your infrastructure.
  • Billing rounded up to the nearest 100 milliseconds, and a monthly free tier for CPU and memory.
  • On-demand GPUs with no reservation, and zonal redundancy as an option.

Where Klio Compute differs

  • A container can have 1, 2, 4 or 8 GPUs; Cloud Run attaches one per instance.
  • More GPU types: H100, A100, L40S, A10 and others as well as L4.
  • Python functions with a decorator, without building or deploying a container yourself.
  • Prepaid credit: work stops at zero instead of running up an invoice, and a monthly purchase limit caps what can be spent.

Features

Features: Klio Compute and Google Cloud Run
FeatureKlio ComputeGoogle Cloud Run
Serverless GPU functions or containersYes. Functions, endpoints, task queues and schedules on a GPU from one decorator. (docs)Yes. Fully managed, on-demand GPUs. (source)
Scale to zeroYes. Endpoints and models stop when idle and start on the next request. (docs)Yes. (source)
Billing per second or finerYes. Metered per second. (docs)Yes. Rounded up to the nearest 100 ms. (source)
Several GPUs in one containerYes. 1, 2, 4 or 8 GPUs of one type; more than one needs a paid workspace. (docs)No. One GPU per instance. (source)
SandboxesYes. Create, run commands and code, read and write files. (docs)Not verified.
VolumesYes. Named volumes mounted into any container. (docs)Not verified.
OpenAI-compatible model servingYes. klio model deploy, for the models klio model list shows. (docs)Not verified.
Runs Modal code with an import changeYes. import klio_compute.compat as modal; a few features are refused with a clear message. (docs)No. Runs your container image. (source)
Prepaid creditYes. Top up, set a monthly purchase limit; work stops at zero. (docs)Not verified.

GPU prices per hour

Public list prices verified 8 November 2026 from Google Cloud Run's pricing page. Klio Compute's prices are live, checked Nov 8, 08:50 UTC. GPU prices follow the market and are checked every few minutes. A running container keeps the price it started at.

GPU price per hour: Klio Compute and Google Cloud Run
GPUKlio ComputeGoogle Cloud Run
H100 80 GBNot available right now— — Cloud Run's price list has L4 and RTX PRO 6000 GPUs only. (source)
A100 80 GB$2.49/h— — Cloud Run's price list has L4 and RTX PRO 6000 GPUs only. (source)
L40S 48 GBNot available right now— — Cloud Run's price list has L4 and RTX PRO 6000 GPUs only. (source)
A10 24 GB$1.95/h— — Cloud Run's price list has L4 and RTX PRO 6000 GPUs only. (source)
L4 24 GB$1.45/h$0.67/h — Listed as NVIDIA L4, non-zonal redundancy, $0.0001867/s. (source)

Cloud Run lists GPUs per second (L4 without zonal redundancy here); CPU and memory are billed on top.

Prices change; check Google Cloud Run's page before deciding. GPU price only, per GPU-hour; CPU, memory, storage and network may be billed separately, and discounts and committed-use prices aren't shown.

Sources

Google Cloud Run's pages read on 8 November 2026:

About this comparison

Google Cloud Run is a trademark of its owner. Klio Compute is not affiliated with it; names are used only to identify the products compared. "Not verified" means the vendor's pages we read didn't settle it either way. Corrections are welcome at support@klio.tech.

© 2026 Klio