The study dives into the robustness and reliability of large language model code generation. Researchers analysed the model in various scenarios to evaluate its robustness. The efficiency and error rate were also taken into account in this examination. The research found that the model has a certain level of robustness, although it has potential areas of improvement. Despite the positive outcomes, the study also shone a light on some weaknesses found in large language model code generation. The research highlighted specific areas which could be detrimental to the code's efficiency and accuracy which should be addressed. This investigation is important as it helps us understand how to better optimize and utilize such models in creating more efficient and accurate code.