Understanding Message Credits with Examples

Message credits measure how many chatbot responses you can generate within your subscription.

💡

1 Message Credit = 1 Chatbot Response

assuming the chatbot uses basic AI model for it’s responses (which is default)

Each response from the chatbot costs 1 message credit, while user messages are free. Below, we explain how message credits work, include function call features, live chat and show examples based on typical usage and subscription packages.

Understanding Message Credits with Examples
Basic Model Setup: GPT-4o-mini
Subscription Packages
AI Models and Message Costs
Live Chat: Credit Usage
Integrations with e-commerce/backend systems
Example: Conversations and Function Calls with E-Commerce Integration

Basic Model Setup: GPT-4o-mini

1 chatbot response = 1 message credit
User messages = free
Average conversation = around 7 exchanges - 1 exchange = 1 user message + 1 chatbot response, resulting in 7 chatbot responses per conversation and use of 7 message credits

Subscription Packages

Here’s how many chatbot responses and conversations you can expect with each package:

Package	Message Credits	Conversations (avg. 7 exchanges)
Basic Package	2,400 credits	~343 conversations
Standard Package	11,000 credits	~1,571 conversations
Premium Package	50,000 credits	~7,143 conversations

AI Models and Message Costs

Different AI models consume varying amounts of credits per chatbot response. Here’s the breakdown:

AI Model	Credits per Response	Key Features
GPT-3.5 Turbo	1 credit	Older, reliable, and cost-effective
GPT-4o-mini (default)	1 credit	Balanced cost and performance
GPT-4o	5 credits	High performance and quality - currently top OpenAI model in terms of quality to price relation. The use of this model is highly suggested when using chatbot integrations with e-commerce & backend systems
GPT-4 Turbo	10 credits	High performance and faster responses
GPT-4	20 credits	Advanced for complex tasks
Google Gemini 1.5 Flash	1 credit	Budget-friendly and fast
Google Gemini 1.5 Pro	10 credits	Enhanced features for demanding use cases

Live Chat: Credit Usage

Live chat enables direct communication between users and human operators. Each message in a live chat, whether sent by the user or the operator, costs 1 message credit.

User messages: Cost 1 credit per message.
Operator responses: Cost 1 credit per message.
Both sides of the conversation contribute to the total credit usage.

If a live chat conversation includes:

5 messages from the user
5 responses from the operator

The total credit usage will be 10 credits.

Integrations with e-commerce/backend systems

Integrations with e-commerce/backend systems also called Function Calls. These are advanced features designed for integrating your chatbot with backend (ie. e-commerce) systems, such as:

Checking order statuses.
Searching for products in your e-commerce store.
Custom API requests for tailored operations.

Key details about function calls:

Function calls are disabled by default. You need to enable them in the chatbot settings if required.
GPT-4o is required for function calls.
Credit usage for function calls:

Predefined functions (e.g., checking orders): 1 credit per call.
Custom API functions: 2 credits per request.

Example: Conversations and Function Calls with E-Commerce Integration

Using the Standard Package with 11,000 credits and GPT-4o (required for API calls, costing 5 credits per response), here’s how credits are used when integrating with an e-commerce backend:

Average Conversation:

7 exchanges = 7 chatbot responses = 35 credits.
1 function call per conversation = 1 credit.
Total per conversation = 36 credits.

Total Conversations: ≈ 305 conversations.

This setup allows advanced functionality like checking order statuses or product searches while maintaining high-quality responses.

What is Message Credit