Cloud · head to head
DeepInfra vs Dokku

DeepInfra
Cloud
Low-cost cloud API for running open-source AI models
- From
- $0.08/month
- Rated
- -

Dokku
Cloud
Single-server platform that accepts a git push and runs Heroku buildpacks on Docker
- From
- Free
- Rated
- -
The short version
- Only Dokku has a free tier, so it costs nothing to try first.
- Each has a real cost: DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.; Dokku one maintainer accounts for nearly all human commit activity and the project records roughly 10,500 US dollars of annual income on Open Collective, which is not enough to fund a maintainer, so continuity rests on one person continuing to volunteer.
- They diverge on capability: DeepInfra covers Open model hosting, Dokku covers Git push deploy.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which DeepInfra and Dokku actually diverge.
Identical on both: 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 Dokku
- Git push deploy
- Heroku buildpacks
- Datastore plugins
- Automatic certificates
- Zero downtime deploys
- Pluggable schedulers
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 Dokku
- Serving speech and image generation models via APInot Dokku
- Cost-sensitive production inference at scalenot Dokku
- Reserved GPU capacity via DeepCluster for steady workloadsnot Dokku
Dokku
- Running a dozen side projects and client applications on one virtual private server with Heroku style deploymentnot DeepInfra
- Moving off a managed platform when the monthly bill has grown faster than the traffic hasnot DeepInfra
- A consultancy that wants buildpack deployments without teaching every client team Kubernetesnot DeepInfra
- Keeping a legacy Procfile application alive on hardware you control after a managed platform deprecates its stacknot 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.
Dokku
- One maintainer accounts for nearly all human commit activity and the project records roughly 10,500 US dollars of annual income on Open Collective, which is not enough to fund a maintainer, so continuity rests on one person continuing to volunteer.
- Dokku Pro asks 849 US dollars for a lifetime licence from a project with no disclosed legal entity behind the promise and no published refund terms, while the product is still described as in development at early bird pricing.
- Dokku is single-server by design, and the k3s scheduler that provides multi-node support is missing log retrieval, process inspection and content-based health checks, with a post-run hook the documentation says does not consistently fire.
- Supported operating systems are limited to Ubuntu 22.04 or 24.04 and Debian 11 or later, so organisations standardised on Red Hat, Rocky or Alma Linux cannot run it on their approved base image.
- Backups are separate commands per datastore plugin that you schedule yourself, with no unified snapshot, no point-in-time recovery and no tested restore path, so verifying that a restore works is entirely your responsibility.
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
Dokku
Free- DokkuFree
- MIT licensed, no usage limits
- Command line and SSH only
- All datastore and certificate plugins
- Dokku Pro$849/one-time
- Lifetime licence with free upgrades and no subscription
- Covers 1 production and 2 pre-production servers
- Web dashboard and JSON REST API
Which should you pick?
Choose DeepInfra if
- You need open model hosting.
- You work on web, api.
- You also want pay-per-token pricing.
Choose Dokku if
- You need git push deploy.
- You want to start without paying.
- You work on Linux, Docker, CLI, Self-hosted.
- You also want heroku buildpacks.
Questions people ask
- Is DeepInfra or Dokku better?
- Neither clearly leads. DeepInfra starts at $0.08/month and Dokku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DeepInfra or Dokku?
- Dokku has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for Dokku.
- Does DeepInfra or Dokku run on more platforms?
- DeepInfra runs on web, api. Dokku runs on Linux, Docker, CLI, Self-hosted.
- Can I use Dokku for free?
- Yes. Dokku has a free tier, so you can try it without paying. DeepInfra starts at $0.08/month.
- 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 Dokku is typically brought in for.
- What can DeepInfra do that Dokku cannot?
- DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Dokku covers Git push deploy, Heroku buildpacks, Datastore plugins, Automatic certificates.
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.
SourceDokku: Is Dokku still maintained?
Yes. Version 0.38.27 shipped in August 2026 with roughly six releases in the preceding two months. The caveat is that one maintainer writes nearly all of it.
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.
SourceDokku: What does Dokku Pro give me over the free edition?
A web dashboard, a JSON REST API, git push over HTTPS, browser log tailing, team management and email support from the maintainers. It costs 849 US dollars once for one production and two pre-production servers.
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.
SourceDokku: Can Dokku run across multiple servers?
Only through the k3s or Nomad schedulers. The k3s path is missing several commands and health check types, and the older Kubernetes scheduler is deprecated and no longer developed.
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.
SourceDokku: Will my Heroku application run on it unchanged?
Usually. Dokku runs the same buildpacks and reads a Procfile, so the application layer normally moves across. Add-ons, scaling behaviour and backups are the parts you have to rebuild.
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.
SourceRelated pages
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