Image and video decision

Hailuo AI

A competent developer can reproduce a useful subset (upload + call external multimodal APIs + store outputs) in about a week, but the vendor’s claimed proprietary MiniMax H3 model, curated assets, and production polish are not reproducible from the provided pages.

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SubscriptionCustom pricing
Initial build30 hours
Monthly upkeep8 hours + $100
Evidence2/3 runs agree

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.

What a replacement has to do

  • Allow a user to upload or pick a reference, send that reference + prompt to an external multimodal model API, receive generated image/video/audio, store results, and let the user download or apply a basic edit.

What it still won’t have

  • Access to the vendor’s claimed MiniMax H3 proprietary model and any tuned weights
  • Any curated asset packs, presets, and in-product marketplace or creator partnerships
  • Production polish, UX, and potentially higher-quality, latency-optimized inference
  • Built-in subscription, community, and moderation workflows

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Hailuo AI does not publish a price we could read, so there is nothing to compare against. What building costs is below.

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 self-hosted multimodal media generator web app using Next.js for the frontend, a Node.js + Express backend, Postgres for metadata, and S3-compatible object storage (e.g., DigitalOcean Spaces). In scope: user signup/session, upload reference media, prompt input form, call an external multimodal model API (configurable endpoint and API key) to produce image/video/audio outputs, store outputs in object storage, basic transcoding pipeline (FFmpeg) to produce thumbnails/previews, and a gallery page to download assets. Out of scope: training models, implementing a proprietary model, payment processing, creator-partnership program, and advanced in-browser editing. Include error handling for failed uploads and API calls, input validation, and automated tests for the backend endpoints and upload flow.
How we checked3 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded