AI models show significant performance disparities in e-commerce tasks, with some models scoring 91-93% while others like Gemini Pro score only 36%, and when AI models make incorrect product recommendations (75% error rate), integrating financial services like buy now pay later creates substantial risks for consumers who may be financially obligated to purchase incorrect products.
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The 47 Point CliffAjouté :
Eight AI models scored between 91% and 93% on our Agent e-commerce benchmark.
Then, there's a 47-point cliff.
Kimi K 2.6 scored 44%.
Gemini 3.1 Pro scored 36%.
Gemini picked the wrong product 75% of the time.
Google just added buy now, pay later to Gemini shopping.
Klarna and Affirm built right in.
The model that picks the wrong product three out of four times can now also finance the wrong product for you.
Full data in the newsletter at tabverified.substack.com.
Not vibes, verified. tabverified.ai
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