AI · head to head
Atlas Cloud vs Dokku

Atlas Cloud
AI
One API for 500+ image, video, LLM and audio models
- From
- On request
- Free plan
- No

Dokku
Cloud
Single-server platform that accepts a git push and runs Heroku buildpacks on Docker
- From
- Free
- Free plan
- Yes
The short version
- Only Dokku has a free tier, so it costs nothing to try first.
- Each has a real cost: Atlas Cloud not every model accepts every request format. Each model publishes its own supported_apis list, and Gemini models expose their full multimodal capability only on the native Gemini format, so 'change the base URL' does not hold for every model.; 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: Atlas Cloud covers 500+ models, one API key, Dokku covers Git push deploy.
- Prices and features above were last checked on 12 November 2026.
Where they differ
Only the attributes on which Atlas Cloud and Dokku actually diverge.
| Attribute | Atlas Cloud | Dokku |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | usage-based | Open source, no licence fee |
| Free tier | No | Yes |
| Platforms | web, api | Linux, Docker, CLI, Self-hosted |
| Category | AI | Cloud |
Identical on both: 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 Atlas Cloud
- 500+ models, one API key
- OpenAI-compatible LLM endpoint
- Pay-as-you-go pricing
- ComfyUI nodes
- MCP server and CLI
- Playground and Generator
- Streaming, batch and webhooks
- Coding Plan
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.
Atlas Cloud
- Adding AI image or video generation to an app without an account at each model providernot Dokku
- Switching an existing OpenAI, Anthropic or Gemini SDK integration to other models by changing the base URLnot Dokku
- Running hosted image and video models inside ComfyUI workflows without a local GPUnot Dokku
- Comparing image and video models side by side in a playground before committing to onenot Dokku
- Giving coding agents access to open-weight LLMs on a flat-rate plannot Dokku
Dokku
- Running a dozen side projects and client applications on one virtual private server with Heroku style deploymentnot Atlas Cloud
- Moving off a managed platform when the monthly bill has grown faster than the traffic hasnot Atlas Cloud
- A consultancy that wants buildpack deployments without teaching every client team Kubernetesnot Atlas Cloud
- Keeping a legacy Procfile application alive on hardware you control after a managed platform deprecates its stacknot Atlas Cloud
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Atlas Cloud
- Not every model accepts every request format. Each model publishes its own supported_apis list, and Gemini models expose their full multimodal capability only on the native Gemini format, so 'change the base URL' does not hold for every model.
- No Anthropic models were listed when checked in November 2026: the provider directory showed Anthropic with 0 models, so the Anthropic Messages format is a compatibility layer for other models rather than access to Claude.
- The model count is stated inconsistently across the site: the homepage title says 400+, the vendor says 500+ and the pricing page listed 550, which makes it hard to know what is available without checking the live list.
- Billing is prepaid. When the balance runs out new API requests are rejected with 402 Payment Required unless auto top-up is enabled, which matters for production workloads.
- Most models are third-party models resold through the platform, so pricing and availability follow upstream providers and change often; prices on the pricing page are shown against a separate official price and discounts vary by model.
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
Atlas Cloud
On request- Pay-as-you-go$undefined/usage
- Billed per image, per second of video or per token; no subscription
- GPT Image 2 text-to-image: $0.004 per image
- Seedream 5.5 generation or edit: $0.02 per image
- Coding Plan$undefined/month
- Monthly subscription with a monthly total and a weekly limit
- Or 90-day pay-as-you-go credit packs with no weekly cap
- Open-weight LLMs including GLM, MiniMax, Kimi and DeepSeek
- Enterprise$undefined/custom
- Volume API discounts
- SLA options through sales
- Dedicated infrastructure and private hosting on request
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 Atlas Cloud if
- You need 500+ models, one api key.
- You work on web, api.
- You also want openai-compatible llm endpoint.
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 Atlas Cloud or Dokku better?
- Neither clearly leads. Atlas Cloud starts at On request and Dokku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Atlas Cloud or Dokku?
- Dokku has a free tier; the other does not. Paid plans start at On request for Atlas Cloud and Free for Dokku.
- Does Atlas Cloud or Dokku run on more platforms?
- Atlas Cloud 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. Atlas Cloud starts at On request.
- What is Atlas Cloud best used for?
- Atlas Cloud is most often used for adding ai image or video generation to an app without an account at each model provider, switching an existing openai, anthropic or gemini sdk integration to other models by changing the base url, running hosted image and video models inside comfyui workflows without a local gpu, comparing image and video models side by side in a playground before committing to one. Of those, adding ai image or video generation to an app without an account at each model provider and switching an existing openai, anthropic or gemini sdk integration to other models by changing the base url are not what Dokku is typically brought in for.
- What can Atlas Cloud do that Dokku cannot?
- Atlas Cloud covers 500+ models, one API key, OpenAI-compatible LLM endpoint, Pay-as-you-go pricing, ComfyUI nodes. Dokku covers Git push deploy, Heroku buildpacks, Datastore plugins, Automatic certificates.
Answered from the vendors’ own pages
Atlas Cloud: How is Atlas Cloud priced?
Pay as you go, per image, per second of video or per token, drawn from a prepaid balance with no subscription required. Examples in November 2026 were $0.004 per image for GPT Image 2 text-to-image, $0.02 per image for Seedream 5.5 and from $0.11 per second for Kling 4.0. Enterprise volume discounts are available through sales.
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.
Atlas Cloud: Is the Atlas Cloud API OpenAI-compatible?
Yes. The base URL https://api.atlascloud.ai accepts OpenAI Chat Completions, Completions, Responses and Images requests, Anthropic Messages and Google Gemini requests with the same API key. Not every model supports every format; each model publishes a supported_apis list.
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.
Atlas Cloud: Can I use Atlas Cloud in ComfyUI?
Yes. The Atlas Cloud ComfyUI nodes, installed from the AtlasCloudAI/atlascloud_comfyui GitHub repository, call hosted models from a ComfyUI graph. Generation runs on Atlas Cloud, so large video and image models work without a local GPU.
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.
Atlas Cloud: What happens when my balance runs out?
New API requests are rejected with 402 Payment Required and you receive low-balance notifications. Service resumes as soon as you top up, and auto top-up can be enabled to avoid interruptions.
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.
Atlas Cloud: What is the Atlas Cloud Coding Plan?
A set of flat-rate subscriptions and 90-day credit packs for open-weight LLMs such as GLM, MiniMax, Kimi and DeepSeek, designed for coding agents including Claude Code, Codex and Cursor. Monthly subscriptions carry a weekly limit that resets every Monday.
SourceAtlas Cloud: Where is Atlas Cloud based?
Its headquarters are at 1540 Broadway, New York, with offices in Silicon Valley and Calgary.
SourceRelated pages
More on Atlas Cloud
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