ChatGPT, Claude and Gemini Split Data Science Tasks as 3-Way Test Finds No Single Winner
Updated
Updated · KDnuggets · Oct 12
ChatGPT, Claude and Gemini Split Data Science Tasks as 3-Way Test Finds No Single Winner
3 articles · Updated · KDnuggets · Oct 12
Summary
Five task areas—statistical test selection, explanations, code generation, exploratory analysis and long-document review—showed each assistant leading in different parts of data science work rather than one dominating overall.
ChatGPT stood out for single-dataset exploratory analysis through its mature file-upload and Python execution workflow, while Claude delivered the most structured statistical reasoning and cleaner reusable code; Gemini excelled in Google integration, web search and large-context research.
A 2025 peer-reviewed study cited in the comparison found six AI assistants hit 100% accuracy on 20 statistical test-selection scenarios, with Claude rated highest for clarity and Gemini for pedagogical value.
All three still carry material risks: methodological mistakes, hallucinated citations or statistics, outdated syntax and privacy concerns when users upload sensitive data.
The review concludes many data scientists may need 2 of the 3 tools, choosing by task instead of treating any single assistant as a complete replacement for statistical judgment.