Over the past few weeks, I’ve been testing a Fabio AI Chatbot with ChatGPT, integrated into several live WordPress environments to better understand something I see debated constantly:
what are the real operating costs of AI chatbots in production?
Test environments
The chatbot was connected to several different types of websites:
a WooCommerce store (~1,000 products) : https://fabio-plugins.com/demo_shop
a large cooking/content website (~570 pages) : https://fabio-plugins.com/demo_how_to/
BBPress forums : https://fabio-plugins.com/support/
our main vitrine website
The goal was to observe how token usage evolves under realistic conditions:
contextual answers,
long-form outputs,
navigation assistance,
product discovery,
forum-related questions,
multi-turn conversations.
Real usage data (30 days)
Model used:
GPT-5.4
Observed metrics:
390 interactions
1,229,801 tokens consumed
$3.25 total API cost

Average cost per interaction:
~$0.0083
(question + response)
So in practice:
under 1 cent per chatbot exchange.
Estimated monthly API costs at ~2,000 interactions
Model Estimated Monthly https://developers.openai.com/api/docs/pricing:
CostGPT-5.4~$16–17
GPT-5.4 mini~$5–6
GPT-5.4 nano~$1.5–2
1 interaction or request = 1 user question + 1 chatbot answer
In fact, the API cost is lower than :
hosting,
acquisition,
SEO tooling,
analytics,
email infrastructure,
or customer support
What is the actual business value of those interactions?
If a website receives:
~2,000 meaningful AI interactions per month
How much will you earn in terms of :
conversions,
product discovery,
support automation,
or user retention.
Curious about other builders’ numbers
For those running:
AI SaaS products,
GPT integrations,
support copilots,
RAG systems,
AI agents,
or chatbot products,
what kind of real-world token costs are you seeing in production?
I’d genuinely love to compare:
architectures,
retrieval strategies,
prompt sizes,
interaction volume,
and monthly operating costs.