Image and video decision

OpenArt

A competent developer can recreate a useful image/video generation workflow with external model APIs in ~1 week, but OpenArt's proprietary Worlds and large model integrations are not reproducible without access to their exclusive models and partnerships.

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You pay

$14/mo

$168/yr

Per seat. Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$100/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 8 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All OpenArt alternatives, with the arithmetic →

What a replacement has to do

  • Accept a text prompt or image upload, call external generative-model APIs to produce images/videos/audio, store outputs, let user preview and export results.

What it still won’t have

  • Proprietary/exclusive spatial AI behind OpenArt Worlds
  • Hundreds of integrated premium models and negotiated pricing
  • Polished multi-feature editor (Director, MCP) and many UX shortcuts
  • Team/enterprise features like shared credits and priority support
  • Persistent 3D World generation and export in Gaussian Splat format

What remains hard

  • Proprietary modelsPowered by World Labs spatial AI, exclusively on OpenArt.
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 8 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal OpenArt-like creator studio using React (frontend), Node/Express (API), Postgres (metadata), Redis (job queue), and S3 (assets). In scope: text-to-image and text-to-video generation via external APIs (configurable providers), file uploads, job queueing, per-user credit counting, preview player for outputs, and download/export. Out of scope: implementing a custom spatial AI/world generator, training models, team/enterprise billing, and advanced VFX toolset. Include robust error handling, retries for API calls, input validation, and automated tests for API endpoints and the job worker.
How we checked4 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-3
  • Evidence score60

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page