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Cloud · head to head

Dokku vs Together AI

Dokku logo

Dokku

Cloud

Single-server platform that accepts a git push and runs Heroku buildpacks on Docker

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Dokku covers Git push deploy, Together AI covers Open-source models.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dokku and Together AI actually diverge.

Attributes where Dokku and Together AI differ
AttributeDokkuTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, Docker, CLI, Self-hostedApi, Cloud
CategoryCloudAI
FoundedUnknown2022

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Dokku

  • Git push deploy
  • Heroku buildpacks
  • Datastore plugins
  • Automatic certificates
  • Zero downtime deploys
  • Pluggable schedulers

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

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

Dokku

  • Running a dozen side projects and client applications on one virtual private server with Heroku style deploymentnot Together AI
  • Moving off a managed platform when the monthly bill has grown faster than the traffic hasnot Together AI
  • A consultancy that wants buildpack deployments without teaching every client team Kubernetesnot Together AI
  • Keeping a legacy Procfile application alive on hardware you control after a managed platform deprecates its stacknot Together AI

Together AI

  • LLM inference for production AI applicationsnot Dokku
  • Content generation at scalenot Dokku
  • Code execution and embeddingsnot Dokku
  • Model fine-tuning and trainingnot Dokku
  • Startup and enterprise AI deploymentnot Dokku

Where each one falls short

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

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.

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Pricing, plan by plan

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

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Which should you pick?

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.
Dokku review

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Dokku or Together AI better?
Neither clearly leads. Dokku starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dokku or Together AI?
Dokku starts at Free and Together AI at Free.
Does Dokku or Together AI run on more platforms?
Dokku runs on Linux, Docker, CLI, Self-hosted. Together AI runs on Api, Cloud.
Can I use Dokku for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dokku best used for?
Dokku is most often used for running a dozen side projects and client applications on one virtual private server with heroku style deployment, moving off a managed platform when the monthly bill has grown faster than the traffic has, a consultancy that wants buildpack deployments without teaching every client team kubernetes, keeping a legacy procfile application alive on hardware you control after a managed platform deprecates its stack. Of those, running a dozen side projects and client applications on one virtual private server with heroku style deployment and moving off a managed platform when the monthly bill has grown faster than the traffic has are not what Together AI is typically brought in for.
What can Dokku do that Together AI cannot?
Dokku covers Git push deploy, Heroku buildpacks, Datastore plugins, Automatic certificates. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Dokku: 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.

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
Dokku: 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.

Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
Dokku: 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.

Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
Dokku: 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.

Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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