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Cloud · head to head

DeepInfra vs Qovery

DeepInfra logo

DeepInfra

Cloud

Low-cost cloud API for running open-source AI models

From
$0.08/month
Rated
-
Full reviewWebsite
Qovery logo

Qovery

Cloud

Deployment platform that provisions and operates Kubernetes inside your own cloud account

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.; Qovery no plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • They diverge on capability: DeepInfra covers Open model hosting, Qovery covers Bring your own cloud.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DeepInfra and Qovery actually diverge.

Attributes where DeepInfra and Qovery differ
AttributeDeepInfraQovery
Starting price$0.08/monthOn request
Pricing modelusage-basedquote
Platformsweb, apiWeb, CLI, REST API, Kubernetes

Identical on both: free tier (No), user rating (Not yet rated), category (Cloud).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DeepInfra

  • Open model hosting
  • Pay-per-token pricing
  • Long context support
  • DeepCluster
  • Zero retention policy
  • Real-time metrics

Only in Qovery

  • Bring your own cloud
  • Preview environments
  • Cluster lifecycle
  • Terraform provider
  • MCP server
  • Policy as code

What people use each for

The jobs each tool is most often brought in to do.

DeepInfra

  • Running open-source LLM inference without managing GPUsnot Qovery
  • Serving speech and image generation models via APInot Qovery
  • Cost-sensitive production inference at scalenot Qovery
  • Reserved GPU capacity via DeepCluster for steady workloadsnot Qovery

Qovery

  • A regulated business that must keep application data inside its own AWS account but has nobody to build a deployment platformnot DeepInfra
  • Giving twenty engineers preview environments per pull request without writing and maintaining Terraform and Helm by handnot DeepInfra
  • Standardising deployment across AWS and GCP when acquisitions have left the organisation on two cloudsnot DeepInfra
  • Replacing a managed platform when data residency rules put every hosted option out of reachnot DeepInfra

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DeepInfra

  • Focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • Model selection is limited to what DeepInfra chooses to host, unlike self-managed platforms.
  • No published free tier; usage is billed from the first token.

Qovery

  • No plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • The GPL-3.0 engine and console do not constitute a self-hostable product, because the control plane and API are closed and the self-hosted option is gated behind Enterprise, so the open licence gives you no exit if the company changes direction.
  • Qovery provisions managed Kubernetes into your account, which means the cloud bill sits on top of the licence and Qovery initiates control plane and ingress controller upgrades on infrastructure your team is accountable for.
  • The company repositioned to agentic infrastructure in June 2026 and now ships a deployment platform, a browser development portal and autonomous coding agents concurrently, so a buyer of the deployment product is not at the centre of the roadmap.
  • Team and Business are capped at two and three connected clusters with fixed 4 vCPU CI runners and no single sign-on on Team, which pushes teams of moderate size onto quoted Enterprise pricing earlier than the plan names imply.

Pricing, plan by plan

DeepInfra

$0.08/month
  • Pay-as-you-go$undefined/mo
    • Per-model token pricing from $0.08 to $2.85 per million input tokens
    • No long-term contract
  • DeepCluster$1.98/month
    • Dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour

Qovery

On request
  • Team$undefined/year
    • Billed on usage with no published rate card
    • 10 users, up to 100 environments, 2 connected clusters
    • 5,000 deployment minutes and 7 day audit logs
  • Business$undefined/year
    • Billed on usage with no published rate card
    • 20 users, up to 250 environments, 3 connected clusters
    • 10,000 deployment minutes and 30 day audit logs
  • Enterprise$undefined/year
    • Custom users, environments and clusters
    • Self-hosted or air-gapped control plane
    • On-premises and bring-your-own-Kubernetes

Which should you pick?

Choose DeepInfra if

  • You need open model hosting.
  • You work on web, api.
  • You also want pay-per-token pricing.
DeepInfra review

Choose Qovery if

  • You need bring your own cloud.
  • You work on Web, CLI, REST API, Kubernetes.
  • You also want preview environments.
Qovery review

Questions people ask

Is DeepInfra or Qovery better?
Neither clearly leads. DeepInfra starts at $0.08/month and Qovery at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Qovery?
DeepInfra starts at $0.08/month and Qovery at On request.
Does DeepInfra or Qovery run on more platforms?
DeepInfra runs on web, api. Qovery runs on Web, CLI, REST API, Kubernetes.
What is DeepInfra best used for?
DeepInfra is most often used for running open-source llm inference without managing gpus, serving speech and image generation models via api, cost-sensitive production inference at scale, reserved gpu capacity via deepcluster for steady workloads. Of those, running open-source llm inference without managing gpus and serving speech and image generation models via api are not what Qovery is typically brought in for.
What can DeepInfra do that Qovery cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Qovery covers Bring your own cloud, Preview environments, Cluster lifecycle, Terraform provider.

Answered from the vendors’ own pages

DeepInfra: Is there a free tier on DeepInfra?

No free tier is published; usage is billed pay-as-you-go from the first token, though a credit card or pre-payment is required before you can send requests.

Source
Qovery: Does Qovery run my applications on its own servers?

No. It provisions and operates Kubernetes inside your AWS, GCP, Azure or Scaleway account, so compute and data stay with your cloud provider and that bill is entirely separate from the Qovery licence.

DeepInfra: How is usage priced?

Language models are billed per million input/output tokens, other models by inference execution time, and audio models per minute of audio processed, with no minimum commitment.

Source
Qovery: Can I self-host Qovery?

Only on Enterprise. The deployment engine and console are GPL-3.0, but the control plane is closed source and the self-hosted and air-gapped deployments are commercial Enterprise features.

DeepInfra: What are the Standard, Priority, and Flex tiers?

Standard is default best-effort pricing at 1x, Priority costs 1.5x for faster time-to-first-token during peak demand, and Flex costs 0.8x for non-production or asynchronous workloads.

Source
Qovery: What does it cost?

Qovery does not publish a rate card. Team and Business are billed on usage and quoted through sales, and Enterprise is fully custom. There is a 14 day trial with no card required.

DeepInfra: How does billing scale with spend?

Accounts advance through usage tiers as cumulative payments cross $20, $100, $500, $2,000, and $10,000 thresholds, with invoices generated monthly or at each threshold.

Source
Qovery: What survives if I stop paying?

The Kubernetes cluster and the workloads keep running in your cloud account, but you lose the console, the deployment pipeline, preview environments and every process built on top of them.

DeepInfra: Is there a limit on concurrent requests?

Yes, accounts are limited to 200 concurrent requests by default, though spending limits can also be configured to prevent unexpected charges.

Source
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