Live Chat & Chatbots · head to head
Amazon Lex vs Crisp

Amazon Lex
Live Chat & Chatbots
AWS conversational AI service
- From
- $0.00075/per text request
- Rated
- -

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.
| Attribute | Amazon Lex | Crisp |
|---|---|---|
| Starting price | $0.00075/per text request | Free |
| Pricing model | usage-based | freemium |
| Free tier | No | Yes |
| Platforms | Web, AWS Cloud | Cloud-based SaaS |
| Founded | 2006 | 2015 |
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 requestNo published plan breakdown. See the Amazon Lex review.
Crisp
FreeNo 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.
Related pages
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- Crisp vs Zendesk Sunshine Conversations
- Crisp vs Botpress
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- Crisp vs IBM Watson Assistant
- Crisp vs Tidio
- Crisp vs Bold360
- Crisp vs Gorgias
- Crisp vs HubSpot Live Chat
- Crisp vs Kore.ai
- Crisp vs LiveChat
- Crisp vs Olark
- Crisp vs Rasa
- Crisp vs Yellow.ai
- Crisp vs Zendesk Answer Bot
- Crisp vs Acquire
- Crisp vs Ada
- Crisp vs Capacity
