This study compares the effectiveness and correctness of grammar error repair with GPT-3.5 to traditional tools. To improve writing quality and communication clarity in a variety of academic and professional contexts, grammar correction is essential. Using assessment measures including accuracy, precision, recall, and F1 score, the study compares the performance of GPT-3.5 with other grammatical correction tools for corrective tasks. In order to evaluate the practical usefulness of the corrections, the data also contains user input and blind testing. The results show that GPT-3.5 outperforms traditional tools in contextual error management and user satisfaction by fixing grammatical errors exceptionally well, even in complicated sentences with contextual nuances. It does, however, have several drawbacks, including as sensitivity to changes in input and sporadic overcorrection. The study recommends enhancing contextual learning and decreasing overcorrection to further enhance algorithms. It also looks at how GPT-3.5 might be used to improve writing assistance and language-learning materials, outlining potential future research areas to maximize grammar correction AI models.