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63 AI models tested on 76 questions, web search proves crucial

A developer conducted an experiment to evaluate the performance of 63 different AI models across 76 questions, comparing their ability to answer from memory versus using web search. The study found that models with web search capabilities were significantly more accurate, with 14 out of 15 successfully answering questions that had changed in the last year. The experiment involved a .NET service, Hangfire, and a SQL Server database, costing $31.74 in API calls, and revealed distinct failure modes such as hallucination versus providing outdated information. AI

IMPACT Highlights the critical role of web search integration for LLMs in providing accurate, up-to-date information.

RANK_REASON The item details a comparative study and evaluation of multiple AI models, which falls under research. [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 →

63 AI models tested on 76 questions, web search proves crucial

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The item details a comparative study and evaluation of multiple AI models, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Dan Weaver ·

    I asked 63 models the same 76 questions, with and without web search

    <p>The 2026 standard deduction for a single filer is $16,100. I asked 63 models what it was.</p> <p>Asked from memory, 8 of 61 got it right. 24 invented a number, three of them landing on $8,300. 19 gave a figure from an earlier year. 9 refused to answer. Of the 15 seats that cou…