Softwr

Software · head to head

Airbnb vs Cloudbeds

A

Airbnb

Software

Book unique homes and experiences all over the world

From
On request
Rated
-
Cloudbeds logo

Cloudbeds

Software

Cloud-based hospitality management platform unifying PMS, channel management, and booking engine

From
On request
Rated
-

The short version

  • Each has a real cost: Airbnb guests pay a service fee of 14.1% to 16.5% of the booking subtotal on top of the nightly rate; Cloudbeds pricing requires custom quote; no published pricing tiers visible, making budgeting and comparison difficult

Where they differ

Only the attributes on which Airbnb and Cloudbeds actually diverge.

Attributes where Airbnb and Cloudbeds differ
AttributeAirbnbCloudbeds
Pricing modeltransactionquote
PlatformsWebWeb, iOS, Android, API

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Unknown).

What people use each for

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

Airbnb

No use cases recorded yet. See the Airbnb review.

Cloudbeds

  • Independent hotels and boutique hospitality businesses automating PMS and distributionnot Airbnb
  • Vacation rental hosts (Airbnb, VRBO) consolidating multi-channel bookings and messagingnot Airbnb
  • Hostels and backpacker accommodations using commission-free booking engine to reduce dependency on OTAsnot Airbnb
  • Small-chain hospitality operators managing multiple properties from one interfacenot Airbnb
  • Properties seeking revenue management and dynamic pricing without enterprise-level PMS costsnot Airbnb
  • Hospitality businesses using AI-driven guest messaging and support automationnot Airbnb

Where each one falls short

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

Airbnb

  • Guests pay a service fee of 14.1% to 16.5% of the booking subtotal on top of the nightly rate
  • Hosts on the split-fee structure pay a further 3% fee, rising to 4% for listings in Brazil and Mexico, or up to 16% under the single-fee structure

Cloudbeds

  • Pricing requires custom quote; no published pricing tiers visible, making budgeting and comparison difficult
  • Per-property pricing model means costs scale rapidly for multi-property management; portfolio growth increases operational expenses
  • Revenue Intelligence (AI pricing) locked behind premium tier; base offering lacks dynamic pricing automation
  • Limited offline functionality; properties with poor connectivity face operational challenges
  • Chatbot and messaging automation require configuration; setup complexity increases for non-technical operators

Pricing, plan by plan

Airbnb

On request

No published plan breakdown. See the Airbnb review.

Cloudbeds

On request

No published plan breakdown. See the Cloudbeds review.

Which should you pick?

Choose Airbnb if

Nothing in the data separates Airbnb from Cloudbeds on the points above - pick on price and on how each one feels to use.

Choose Cloudbeds if

  • You work on Web, iOS, Android, API.

Questions people ask

Is Airbnb or Cloudbeds better?
Neither clearly leads. Airbnb starts at On request and Cloudbeds at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Airbnb or Cloudbeds?
Airbnb starts at On request and Cloudbeds at On request.
Does Airbnb or Cloudbeds run on more platforms?
Airbnb runs on Web. Cloudbeds runs on Web, iOS, Android, API.

Answered from the vendors’ own pages

Cloudbeds: Does Cloudbeds have a commission-free booking engine?

Yes. Cloudbeds provides a commission-free booking engine allowing guests to reserve directly on the property website without OTA transaction fees. This reduces distribution costs compared to Booking.com and Airbnb.

Source
Cloudbeds: What channels does Cloudbeds distribute to?

Cloudbeds distributes to 450+ booking channels including Airbnb, Booking.com, Expedia, Agoda, and regional OTAs, all managed from one interface.

Source
Cloudbeds: Does Cloudbeds provide revenue management?

Yes. Revenue Intelligence uses AI-powered demand forecasting (95% accuracy) to recommend dynamic pricing, maximising revenue per available room (RevPAR).

Source

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