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Claude Haiku and Opus outperform Sonnet in Shopify catalog search test

By PulseAugur Editorial · [1 sources] ·

A recent test evaluated the performance of Anthropic's Claude models, specifically Sonnet, Haiku, and Opus, in selecting products from Shopify's catalog. Claude Sonnet failed to identify the top-ranked product in any of its six search attempts. In contrast, Haiku successfully selected the product 8% of the time, while Opus achieved a 20% success rate. The test indicated that product review counts were more influential in model selection than initial catalog ranking. AI

IMPACT This research suggests that different LLM versions have varying capabilities in product retrieval and recommendation tasks.

RANK_REASON The item describes a specific test and benchmark result for AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Claude Haiku and Opus outperform Sonnet in Shopify catalog search test

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The item describes a specific test and benchmark result for AI models. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Čeština(CS) · Sayed Sayeedur Rahman ·

    Zero.

    <p>Claude Sonnet picked Shopify's top-ranked catalog product 0 times across six searches. Haiku picked the same product 8% of the time and Opus 20% (SEJ test).</p> <p>In this test, ranking first in the catalog did not decide the pick. Review counts did more.</p>

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