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Live Chat & Chatbots · head to head

Amazon Lex vs Crisp

Amazon Lex logo

Amazon Lex

Live Chat & Chatbots

AWS conversational AI service

From
$0.00075/per text request
Rated
-
Crisp logo

Crisp

Live Chat & Chatbots

Customer messaging platform for startups and SMBs

From
Free
Rated
-

The short version

  • Only Crisp has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amazon Lex pay-as-you-go model with no standard free tier, only AWS free credits for new customers (6 months, $200 limit); Crisp free tier includes only 2 agents and no AI credits; AI capability requires paid tier
  • They diverge on capability: Amazon Lex covers Speech recognition, Crisp covers Live chat.

Where they differ

Only the attributes on which Amazon Lex and Crisp actually diverge.

Attributes where Amazon Lex and Crisp differ
AttributeAmazon LexCrisp
Starting price$0.00075/per text requestFree
Pricing modelusage-basedfreemium
Free tierNoYes
PlatformsWeb, AWS CloudCloud-based SaaS
Founded20062015

Identical on both: user rating (Not yet rated), category (Live Chat & Chatbots).

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 Amazon Lex

  • Speech recognition
  • Natural language understanding
  • Voice and text
  • Lambda integration
  • AWS services
  • Lambda
  • DynamoDB
  • SNS

Only in Crisp

  • Live chat
  • Shared inbox
  • Chatbots
  • Knowledge base
  • Video calls
  • CRM
  • Slack
  • WordPress

Both cover

  • Web support

What people use each for

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

Amazon Lex

  • Building conversational chatbots leveraging Alexa deep learning enginenot Crisp
  • Voice and text-based NLU applications requiring automatic speech recognitionnot Crisp
  • Custom conversational interfaces integrated into existing applicationsnot Crisp

Crisp

  • Growing startups needing affordable all-in-one customer support with AI automationnot Amazon Lex
  • Teams seeking omnichannel support consolidating email, chat, WhatsApp, Messenger, Instagramnot Amazon Lex

Where each one falls short

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

Amazon Lex

  • Pay-as-you-go model with no standard free tier, only AWS free credits for new customers (6 months, $200 limit)
  • Speech requests cost $0.004 each, text requests $0.00075 each, training costs $0.50 per minute
  • Variable costs can accumulate quickly for high-volume applications

Crisp

  • Free tier includes only 2 agents and no AI credits; AI capability requires paid tier
  • Free tier customer profile limit of 100; higher limits require upgrade
  • Omnichannel support and workflow automation excluded from Free and Mini tiers
  • White labelling only available in Plus tier ($295+/month)

Pricing, plan by plan

Amazon Lex

$0.00075/per text request

No published plan breakdown. See the Amazon Lex review.

Crisp

Free

No published plan breakdown. See the Crisp review.

Which should you pick?

Choose Amazon Lex if

  • You need speech recognition.
  • You work on Web, AWS Cloud.
  • You also want natural language understanding.

Choose Crisp if

  • You need live chat.
  • You want to start without paying.
  • You work on Cloud-based SaaS.
  • You also want shared inbox.

Questions people ask

Is Amazon Lex or Crisp better?
Neither clearly leads. Amazon Lex starts at $0.00075/per text request and Crisp at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Lex or Crisp?
Crisp has a free tier; the other does not. Paid plans start at $0.00075/per text request for Amazon Lex and Free for Crisp.
Does Amazon Lex or Crisp run on more platforms?
Amazon Lex runs on Web, AWS Cloud. Crisp runs on Cloud-based SaaS.
Can I use Crisp for free?
Yes. Crisp has a free tier, so you can try it without paying. Amazon Lex starts at $0.00075/per text request.
What is Amazon Lex best used for?
Amazon Lex is most often used for building conversational chatbots leveraging alexa deep learning engine, voice and text-based nlu applications requiring automatic speech recognition, custom conversational interfaces integrated into existing applications. Of those, building conversational chatbots leveraging alexa deep learning engine and voice and text-based nlu applications requiring automatic speech recognition are not what Crisp is typically brought in for.
What can Amazon Lex do that Crisp cannot?
Amazon Lex covers Speech recognition, Natural language understanding, Voice and text, Lambda integration. Crisp covers Live chat, Shared inbox, Chatbots, Knowledge base. Both handle Web support.

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