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Klio Compute vs Replicate

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

For agents: this page as markdown

In short

Replicate: A platform for running public machine-learning models by API and deploying your own models packaged with Cog.

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 Replicate is the better choice

  • A large catalog of public models you can call by API without deploying anything, billed only for the time each request takes.
  • Packaging your own model with Cog, its open-source tool.
  • Listed prices for up to 8 H100, A100 or L40S GPUs per instance.

Where Klio Compute differs

  • Klio Compute runs your own Python functions, endpoints, queues, schedules and sandboxes, not a catalog of hosted models.
  • klio model deploy puts an open model behind an OpenAI-compatible API on your own address in one command.
  • Prepaid credit: work stops at zero instead of running up an invoice, and a monthly purchase limit caps what can be spent.
  • Modal code runs with one changed import line, and klio migrate --check reports what works before you change anything.

Features

Features: Klio Compute and Replicate
FeatureKlio ComputeReplicate
Serverless GPU functions or containersYes. Functions, endpoints, task queues and schedules on a GPU from one decorator. (docs)Yes. (source)
Scale to zeroYes. Endpoints and models stop when idle and start on the next request. (docs)Yes. Deployments can scale to zero. (source)
Billing per second or finerYes. Metered per second. (docs)Yes. Listed per second. (source)
Several GPUs in one containerYes. 1, 2, 4 or 8 GPUs of one type; more than one needs a paid workspace. (docs)Yes. 2x listed; 4x and 8x marked as capacity under committed-spend contracts. (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. Its own API, and Cog for packaging models. (source)
Prepaid creditYes. Top up, set a monthly purchase limit; work stops at zero. (docs)Partly. Some accounts are billed via prepaid credit. (source)

GPU prices per hour

Public list prices verified 8 November 2026 from Replicate'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 Replicate
GPUKlio ComputeReplicate
H100 80 GBNot available right now$5.49/h — Listed as Nvidia H100 GPU, $0.001525/s. (source)
A100 80 GB$2.49/h$5.04/h — Listed as Nvidia A100 (80GB) GPU, $0.0014/s. (source)
L40S 48 GBNot available right now$3.51/h — Listed as Nvidia L40S GPU, $0.000975/s. (source)
A10 24 GB$1.95/h— — Not on Replicate's hardware list; the smallest GPU listed is a T4. (source)
L4 24 GB$1.45/h— — Not on Replicate's hardware list. (source)

Replicate lists a price per second for each hardware type, which comes with a fixed CPU and RAM allocation. Private models on dedicated hardware are billed for setup and idle time as well as for requests.

Prices change; check Replicate'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

Replicate's pages read on 8 November 2026:

About this comparison

Replicate 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