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A comparison tested SQL, Pandas, and a Claude agent on three StrataScratch interview questions across eight dimensions. SQL ran in 0.002-0.010 ms, Pandas in 0.4-2.1 ms, and the agent added 2-4 seconds of LLM inference time. The agent matched SQL on easy and hard questions but required precise prompts to avoid silent failures on medium difficulty.
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