Results from testing the three models on the same tasks (data analysis, code review, document summarization) over the past three months.
1. Data Analysis Ability
- GPT-5: Excels at creating tables and statistical summaries. Also handles R coding adeptly.
- Claude 4: Strong at reading long CSV files and deriving insights. However, weak at catching errors in Korean code.
- Gemini 2: Integrates well with Google Docs, making it convenient to use with collaboration tools. Quite fast for simple queries.
2. Code Review Accuracy
- GPT-5: Frequently catches security vulnerabilities. Downside: too many comments.
- Claude 4: Specialized in finding logic errors. Detailed explanations are a plus.
- Gemini 2: Fastest speed but somewhat lower accuracy.
3. Document Summary Quality
Personally, Claude 4 felt the most natural. GPT-5 was too rigid, and Gemini sometimes missed the key points.
Conclusion: It seems the answer is to use all models interchangeably depending on the situation. Each has its own clear strengths.