Chatbot Test for Ecommerce : ChatGpt Vs Mistral Vs Gemini

AI Comparison · E-commerce Test

How Fabio AI Chatbot compares AI models on a real WooCommerce product search test

We tested multiple AI models available in Fabio AI Chatbot on the same shopping query to see which ones feel most helpful, selective, and convincing for online shoppers.

We ran this test on a 1,000-product demo WooCommerce store organized into 4 categories. We deliberately chose a broad, realistic shopping question — the kind of request a real visitor might type when they know what they want, but not exactly which product to pick.

Scope

8 AI models

We compared 8 different AI models, all available by default in the standard settings of Fabio AI Chatbot.

Test environment

Real WooCommerce catalog

All answers were generated against the same store data, so differences mainly come from the model behavior, response style, and recommendation logic.

Try it yourself

Live demo store

Feel free to run your own tests on our 1000 products Woocommerce demo store.

At a glance

Main takeaway by model family

Each family showed a distinct shopping style: broader exploration, stricter filtering, or more premium one-product recommendations.

ChatGPT

Most polished overall

Strong user experience, balanced recommendations, and a reassuring tone for shoppers comparing several close matches.

Mistral

Strong product matching

The Mistral models consistently found the exact matching product, which is a very good signal for e-commerce product search.

Gemini

Different sales styles

One model felt more premium and focused, while the other supported broader browsing and product discovery.

ChatGPT models

What did ChatGPT models answer?

From a user’s point of view, the 3 ChatGPT models feel different in how they handle a limited product match.

ChatGPT 5.4 gives the most polished user experience overall. It is slower, but it reads like a confident assistant: it presents the available options clearly and ends with a strong recommendation for the exact 10-hour match, while still offering nearby alternatives. For a shopper, Nano feels more strict, Mini feels more expansive, and 5.4 feels the most complete and reassuring.

ChatGPT 5.4

Best overall user experience

The most polished answer of the three, with clear product framing, nearby alternatives, and a strong final recommendation.

ChatGpt 5.4 E-commerce Test
ChatGpt 5.4 E-commerce Test
ChatGPT 5.4 Mini

Broader shopping helper

ChatGPT 5.4 Mini feels more like a broad shopping helper, listing several nearby alternatives quickly, but with less filtering precision, so the user may feel it is a bit less selective.

ChatGpt 5.4 mini E-commerce test
ChatGPT 5.4 Nano

Fast and disciplined

ChatGPT 5.4 Nano is fast and fairly disciplined: it clearly identifies the closest valid options and explains why some cheaper products do not fully meet the 10-hour requirement.

ChatGpt 5.4 Nano E-commerce test
ChatGpt 5.4 Nano E-commerce test

Mistral models

What did Mistral models answer?

These tests were especially promising for store owners looking for accurate product matching in a shopping assistant.

These 3 Mistral tests are promising for e-commerce: all models found the exact matching product instead of suggesting weak alternatives, which is what store owners want from an AI shopping assistant. For entrepreneurs evaluating AI for online stores, the takeaway is simple: even smaller Mistral models can already handle product search well, but the perceived quality also depends on the final interface and formatting.

Mistral Large 3

Cleanest overall experience

Mistral Large 3 delivered the cleanest overall experience with both speed and clarity.

Mistral Large 3 E-commerce test
Mistral Large 3 E-commerce test
Mistral Medium 3.1

Correct but less polished

Mistral Medium 3.1 gave the right answer but with a less polished rendering.

Mistral Medium 3.1 E-commerce test
Mistral Medium 3.1 E-commerce test
Mistral Small 3.2

Fastest and already effective

Mistral Small 3.2 was the fastest and already very effective.

Mistral Small 3.2 E-commerce test
Mistral Small 3.2 E-commerce test

Gemini models

What did Gemini models answer?

Gemini showed two distinct recommendation styles, depending on whether the goal is focused selling or broader catalog exploration.

Gemini 3.1 Pro

Focused premium recommendation

From an e-commerce store owner’s perspective, Gemini 3.1 Pro feels more like a focused sales assistant, recommending a single product in a more polished and conversational way, but with a noticeably slower response time.

Gemini 3.1 pro test E-commerce
Gemini 3.1 pro test E-commerce
Gemini 3 Flash

Better for product discovery

Gemini 3 Flash feels more suited to broad product discovery: it highlights one main match, then suggests other relevant options, which can help keep shoppers engaged with the catalog.

Gemini 3 Flash test E-commerce
Gemini 3 Flash test E-commerce
Practical conclusion

Which Gemini style fits your store?

In practice, the choice depends on the role you want your chatbot to play. Gemini 3 Flash is better for showcasing multiple products and supporting browsing, while Gemini 3.1 Pro is better for a more premium, one-product recommendation style.

Run your own benchmark

Test the same models on your own shopping prompts

Fabio AI Chatbot lets you compare different AI behaviors on the same catalog, so you can choose the style that best fits your e-commerce strategy.

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