🧪 AI Test: ChatGpt 5.4 vs ChatGpt 5.4 mini Vs ChatGpt 5.4 nano

We ran another experiment with Fabio AI Chatbot, this time on our WooCommerce demo store with 1,000 products : https://fabio-plugins.com/demo_shop/.

The idea was simple: ask the same short question to 3 different ChatGPT models.

User question:

“a slow cooker for up to 12 persons”

Why this question?

Our demo store does not mention the number of people for slow cookers.
Products only include capacity information (liters).

So the AI models must interpret the request and determine which product capacities could correspond to cooking for about 12 people.

Models tested

We ran the test with 3 models now available in the plugin:

• GPT-5.4

• GPT-5.4 Mini

• GPT-5.4 Nano

What did GPT-5.4 answer ?

GPT-5.4 correctly detects that the site does not provide serving size by number of persons, only capacity in liters, and asks for clarification while proposing the largest available slow cookers (6.5 L) as the closest match. This shows strong reasoning: the model translates the user’s intent into capacity-based product suggestions without inventing missing data.

What did GPT-5.4 Mini answer ?

GPT-5.4 Mini correctly identifies that the website does not specify slow cookers by number of persons and instead highlights the largest available models (6.5 L) as the closest match. Its answer is more direct and concise than GPT-5.4, immediately recommending relevant products without asking for clarification.

What did GPT-5.4 Nano answer ?

GPT-5.4 Nano correctly understands that the site does not list slow cookers by number of persons and instead references the available capacities (3.5 L, 4.7 L, and 6.5 L) to guide the user. Its answer is fast and informative, and very perhaps as useful to the suer as ChatGpt 5.4, but for less token.