Public pricing in MLOps and model serving
Hidden pricing moves the first comparison into a sales call.
Put the published price in context: compare pricing models and estimate setup, renewal and exit with the SaaS cost calculator.
20 of 37 companies we measured here publish it, that is 54%. Last checked 2026-10-17.
54% here against 38% across every category we measure. MLOps and model serving sits above the overall share for this criterion.
This page counts companies, not product entries: a company with two products in this category is one company here and two rows below.
Back to Public pricing across all categories, or to MLOps and model serving.
- Found20
- Not found at checked addresses17
- Not measured0
37 companies in total. Unmeasured companies are excluded from the published share.
Published
Actual numbers on a public page.
| Vendor | What we found |
|---|---|
| Anyscale | https://www.anyscale.com/pricingChecked |
| Baseten | https://www.baseten.co/pricing/Checked |
| ClearML | https://clear.ml/pricingChecked |
| Comet | https://www.comet.com/site/pricing/Checked |
| CoreWeave | https://coreweave.com/pricingChecked |
| DataRobot | https://www.datarobot.com/Checked |
| Fireworks AI | https://fireworks.ai/pricingChecked |
| Lightning AI | https://lightning.ai/pricingChecked |
| Mistral AI | https://mistral.ai/pricing/Checked |
| Modal | https://modal.com/pricingChecked |
| Paperspace | https://www.paperspace.com/pricingChecked |
| Replicate | https://replicate.com/pricingChecked |
| RunPod | https://www.runpod.io/pricingChecked |
| Superwise | https://superwise.ai/pricing/Checked |
| Together AI | https://www.together.ai/pricingChecked |
| Union | https://www.union.ai/pricingChecked |
| Valohai | https://valohai.com/pricing/Checked |
| Vast.ai | https://vast.ai/pricingChecked |
| Weights & Biases | https://coreweave.com/forge-pricingChecked |
| ZenML | https://www.zenml.io/pricingChecked |
No public pricing with figures found.
We reached at least one address for each of these vendors and none of them carried it. That is what we found at the addresses we checked, on the date we checked them, and not a statement about what the vendor has.
| Vendor | What we found |
|---|---|
| BentoML | 5 addresses checkedChecked |
| DataChain | 5 addresses checkedChecked |
| Dataiku | 5 addresses checkedChecked |
| Domino | 5 addresses checkedChecked |
| Evidently | 5 addresses checkedChecked |
| Flyte | 5 addresses checkedChecked |
| Genesis Cloud | 5 addresses checkedChecked |
| H2O.ai | 5 addresses checkedChecked |
| Kedro | 5 addresses checkedChecked |
| Lambda | 5 addresses checkedChecked |
| Metaflow | 5 addresses checkedChecked |
| Nebius | 5 addresses checkedChecked |
| Northern Data | 5 addresses checkedChecked |
| Nscale | 5 addresses checkedChecked |
| Seldon | 5 addresses checkedChecked |
| StackIt | 5 addresses checkedChecked |
| Wallaroo | 5 addresses checkedChecked |
Not measured
We could not look at these, or their robots.txt asks us not to. That says something about our measurement, not about them, and they are left out of the percentage above.
None. Every vendor here was measured for this criterion.
Other criteria in MLOps and model serving
- Data processing agreement
- Subprocessor list
- Data location stated
- Status page with history
- Certifications named
- Uptime SLA with a figure
- HTTPS enforced with HSTS
- No third-party tracking before consent
- security.txt (RFC 9116)
- Notice before subprocessors change
- Named privacy contact
Public pricing in related categories
Found something we missed? Tell us. A correction moves that vendor into our next nightly run. That run reads the same fixed addresses we check for every vendor, not the address you send.