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5 AI Models Tested on Hinglish Coding Tasks in Kaggle Benchmark Study

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A developer submitted a benchmarking study to the Kaggle Benchmarking Challenge to evaluate how well leading AI models handle Hinglish, the Hindi-English mix spoken by around 600 million people in India. The five models tested were Claude Sonnet 5, DeepSeek-R1, Gemini 3.5 Flash, GPT-5.4, and Grok 4.5. All four models that were evaluated scored 100% on Hinglish code debugging tasks. The benchmark also covered context switching and interpreting vague error descriptions written in Hinglish. The results suggest that major AI models no longer struggle with Hinglish as a language barrier in coding contexts.

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