Chatbase Pricing vs Intercom Fin vs Guzli: A Practical Cost Forecast for 2025

Trying to forecast chatbot costs? This guide shows how Chatbase message credits compare to Intercom’s seat and per-resolution model, and how Guzli’s action workflows can reduce total volume.

Guzli Team

Guzli Team

December 17, 2025

Cost analysis dashboard comparing chatbot pricing models

Chatbase Pricing vs Intercom Fin vs Guzli: A Practical Cost Forecast for 2025

If you are comparing Chatbase pricing vs Intercom Fin vs Guzli, you are probably trying to answer:

  • Which tool will cost less as volume grows?
  • Which model is easiest to forecast?
  • How do actions (Stripe, Shopify, scheduling) change the math?

This post avoids hand-wavy “it depends” advice and gives you a forecasting approach you can use.

For broader product comparison, start here: Guzli vs Intercom vs Chatbase


The three pricing models you are really choosing between

1) Intercom: seats plus usage-based AI

Intercom often combines:

  • A seat model for the platform
  • Usage-based AI pricing

This can work well when:

  • You have a large support org that needs the full suite
  • Each resolved conversation is worth more than the AI usage cost

2) Chatbase: message credits by tier

Chatbase uses message credits. This is often easier to forecast than per-resolution, but it depends on conversation length.

3) Guzli: predictable plans plus action workflows

Guzli focuses on reducing total workload by:

  • Deflecting repetitive support
  • Completing actions inside chat
  • Capturing leads and booking meetings

Actions matter because they reduce back-and-forth messaging and escalations.


A simple forecasting model you can copy

You only need four inputs:

  1. Monthly conversations (or tickets)
  2. Deflection rate (percent resolved by AI without human)
  3. Average bot messages per conversation
  4. How many conversations turn into actions

Why actions change cost

Actions reduce “chat loops.”

Example:

  • Without actions: “Can you cancel me?” becomes 6 to 10 messages, then escalation
  • With Stripe actions: confirm intent, run action, summarize, done

This affects cost on message-credit models and affects human workload on all models.


Example scenarios (with clear assumptions)

These are not vendor promises. They are planning examples.

Assumptions:

  • AI resolves 40% of conversations
  • Average 4 bot messages per conversation when actions exist
  • Average 7 bot messages per conversation without actions

Scenario A: 2,000 conversations per month

  • 800 resolved by AI (40%)
  • 1,200 escalated

If your top intents are billing and order status, actions usually reduce total message count and escalation rate.

Scenario B: 6,000 conversations per month

At this volume, pricing model shape matters a lot.

  • If your cost scales per resolved conversation, your bill rises with success
  • If your cost scales by messages, your bill rises with volume and chat length
  • If actions cut chat loops, you control the bill and reduce human workload

Scenario C: 20,000 conversations per month

At this volume, you should evaluate:

  • Automation rate by intent
  • Channel mix
  • Whether ecommerce workflows reduce “where is my order” tickets

If you want ROI benchmarks across industries, read: AI chatbot ROI guide and use the ROI calculator


What to ask vendors so costs do not surprise you

Use these questions in every sales call:

  1. What counts as “usage”?
  2. How do you bill when the bot escalates?
  3. Do actions reduce message usage or add usage?
  4. Can I set limits to prevent runaway costs?
  5. Can I see analytics by intent (billing, order status, returns)?

This checklist approach is also covered in our: AI Chatbot Buyer’s Guide


When each model is best

Intercom model is best when

  • You want a full suite
  • Your support interactions are higher value
  • Your team is already standardized on Intercom

Chatbase model is best when

  • You want an AI agent builder quickly
  • You can keep conversations short and well-scoped
  • You prefer forecasting by message volume

Guzli model is best when

  • You want support plus lead capture
  • You want Shopify and Stripe outcomes inside chat
  • You want scheduling inside chat for faster conversion
  • You want fewer escalations and fewer long conversations

Next steps

If you want to forecast ROI with real benchmarks:

If you want to test Guzli:

Related reading:

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Guzli Team

Guzli Team

The Guzli team is passionate about revolutionizing customer support with AI. We're a group of engineers, designers, and product experts building the future of automated customer interactions.

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