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Krea vs Masonry AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper paid plan
Masonry AI — $20/mo vs $21/mo for Krea
Free plan
Only Krea (Masonry AI has paid plans only)
Public API
Both have one
Higher Trust score
Krea — 91 vs 68 for Masonry AI
Best fit
Krea: Designers and concept artists who iterate visually on a canvas rather than through prompt rewrites · Masonry AI: Product and marketing teams generating many asset variants per campaign

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

KreaCreative suite with a real-time canvas, image and video generation, upscaling and 3D across its own and third-party modelsMasonry AIOne canvas with 50+ image and video models for generating, editing, and upscaling visual assets.

Side by side

FactKreaMasonry AI
CategoryText-to-Image GeneratorsText-to-Image Generators
Pricing modelFreemiumPaid
Starts at$21/mo$20/mo
Public APIYesYes
Trust score91 / 10068 / 100
PlatformsWeb, APIWeb, iOS
CompanyKrea.ai, Inc.Masonry AI Inc
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

Krea

Krea is the aggregator to pick when you want one subscription that covers image, video, upscaling and 3D instead of four, and the real-time canvas is still the fastest way to steer a composition by hand. The trade-off is that you are renting other people's models at a markup measured in compute units, so heavy video users should check the per-generation unit costs before trusting the headline price.

Pros

  • Real-time canvas renders in under 50 ms, which makes composition a direct-manipulation task
  • Own Krea 2 model plus a long list of third-party image and video models in one place
  • Free tier refills daily rather than once, so it stays usable for light work
  • Public API with an SDK and MCP server, and LoRA training from as few as 50 images

Cons

  • Compute units are an abstraction over very different model costs, so the monthly pool is hard to budget
  • Pro and Max units expire at month end and extra packs expire after 90 days
  • Visible prices and the page's structured data disagreed on the Max tier today
  • Video generation is unavailable on the free plan (video concurrency 0)

Masonry AI

Masonry's pitch is access, not a house model — 50-plus third-party models on one canvas means fewer tab switches for teams that already jump between FLUX, Kling, and Ideogram individually. The tradeoff is that quality and cost still depend entirely on which underlying model you pick each time.

Pros

  • Bundles 50+ image and video models behind one interface and one credit pool
  • Covers the full loop: generate, edit, upscale, and remove backgrounds
  • CLI available for scripting generation outside the web canvas

Cons

  • Site does not publish what each pricing tier actually includes
  • Company location is not disclosed

Which one fits

Choose Krea if you need

  • Designers and concept artists who iterate visually on a canvas rather than through prompt rewrites
  • Small studios that want current image and video models under one bill without managing API keys
  • Anyone upscaling and cleaning up stills or short clips for print or social

Choose Masonry AI if you need

  • Product and marketing teams generating many asset variants per campaign
  • Users who want one canvas instead of juggling separate model websites

Krea vs Masonry AI: the questions people ask

Is Krea cheaper than Masonry AI?

On published entry prices, Masonry AI starts lower — $20/mo against $21/mo for Krea. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does Krea or Masonry AI have a free tier?

Krea has a free tier; Masonry AI has paid plans only.

Which has a public API, Krea or Masonry AI?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

All Krea alternatives →Browse all Text-to-Image Generators →