I asked Claude, ChatGPT, and Gemini to fix the same bug, and only one understood it
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A hands-on comparison of Claude Sonnet 4.6, ChatGPT 5.5, and Gemini 3.1 on a zero-shot debugging task involving three deliberately introduced bugs in a Pygame platformer. Claude identified all three bugs including swapped platform momentum axes, conditional gravity logic, and inverted wall collision. ChatGPT found two out of three, missing the wall collision bug. Gemini failed to find any bugs and instead rewrote the control scheme entirely. The test highlights meaningful differences in how these models approach precise code analysis versus improvisation.
Table of contents
I put the "intuitive" intelligence of the models to test with 3 bugsChatGPT 5.5 uncovered 2 out of 3 bugsGemini 3.1 got 0 out of 3Claude Sonnet 4.6 uncovered all 3 bugs132 Impressions