Another example of how 4o/4.1 are more efficient than 5 for work.

Enhancing Data Management Efficiency: How GPT-4 and GPT-4.1 Outperform GPT-5 in Complex Tasks

In today’s rapidly evolving technological landscape, leveraging artificial intelligence (AI) tools to streamline data management tasks is increasingly common. However, not all AI models are equally suited for every task. Recent experiences highlight that GPT-4 and GPT-4.1 often deliver superior results compared to GPT-5, particularly in intricate, precision-focused scenarios.

Case Study: Managing Large-scale Data with Precision

Recently, I encountered a challenging data management situation involving approximately 15,000 records and between 300,000 to 400,000 cells. The goal was to extract specific information, modify certain record elements, and ensure maintaining high levels of accuracy without altering sensitive data. For such tasks, clarity, nuance, and understanding are crucial.

Initial Approach with GPT-5

I began by describing the structure of my tables—three in total, with two primarily for information storage and one designated for modifications. I provided detailed instructions, emphasizing which data could be safely changed and which should remain untouched. GPT-5 responded by generating a script, which, while potentially functional, was presented as a block of code combined with a rather vague explanation. It lacked context regarding implementation steps, potential impacts, or safeguards, making it less practical for immediate application.

Success with GPT-4/4.1

Switching to GPT-4, and subsequently GPT-4.1 if needed, proved more effective. Upon receiving the same detailed prompt, the AI immediately inquired about my data format—an essential step for understanding the problem scope. It presented three strategic options, detailing the advantages, risks, and complexity of each. Based on this guidance, I chose a balanced approach, involving the creation of additional tables and applying proven strategies from previous projects. Only after this did GPT-4 generate a comprehensive script.

Outcome and Insights

The solution was highly effective: I formatted the data accordingly and tackled the most sensitive modifications manually, given the nature of the data. The entire process was smooth, with the AI providing an understandable, step-by-step plan. Its responses demonstrated a holistic understanding of the problem, referencing past experiences, and ensuring minimal risk of errors or collateral damage.

Reflections on AI Performance

While GPT-5 may excel in mathematical reasoning and coding complexity, GPT-4 and GPT-4.1 excel in understanding context, nuances, and providing practical, safe solutions—especially for complex data