We Asked 6 AI Models the Same Ecommerce Question — Here’s What Changed

We ran a simple experiment:

👉 Ask the same product question to different AI models inside an ecommerce chatbot connected to a store with 1,000 products.

The question:
“I am looking for a power bank that can last 10 hours and costs less than 50 USD”

At first glance, all models give correct answers.

But when you look closer, the differences are significant — not just in speed, but in how they think, structure information, and communicate.

ChatGPT 5.3 Instant
→ Returns 3 relevant products in about 5 seconds
→ Balances filtering and coverage
→ Enough results to give choice, without overwhelming the user

Gemini (Flash & Flash Lite)
→ Also retrieves multiple products
→ Slower (around 8.5 seconds)
→ Adds more context and extra product details

👉 Suggests broader retrieval or less aggressive filtering

Mistral models
→ Much faster (2.2 to 3.3 seconds)
→ Return fewer results — sometimes only one

👉 Stronger ranking and prioritization
👉 Instead of listing options, they pick what they consider the best match

Semantic differences

ChatGPT
→ Structured and efficient
→ Direct answer with clear attributes (name, battery, price)
→ Behaves like a precise search assistant

Gemini
→ More expansive
→ Adds explanations and context
→ Sometimes includes soft marketing language
→ Feels more like a guide

Mistral
→ Minimalistic
→ Focuses only on the core answer
→ No extra context, no explanation
→ Behaves like a decision engine

Writing style differences

Each model has a distinct “voice”:

ChatGPT → Neutral, structured, easy to scan (slightly dry)
Gemini → Conversational, warmer, more human
Mistral → Extremely concise, almost mechanical, but very efficient

Takeaway

All models are “correct” — but they optimize for different things:

→ Choice vs speed
→ Guidance vs precision
→ Conversation vs decision

👉 To know more:
Read the full test on our blog and share your own experience with AI models.