The versatile language model ChatGPT has captured the attention of researchers owing to its application and performance in translation tasks. This study employed the TAALED tool and Python programming to extract and compare metrics of lexical diversity and syntactic complexity in translations produced by ChatGPT, human translators, and DeepL. The findings indicate that ChatGPT translation has a significant advantage over the other two methods in terms of lexical density and content words, showcasing its breadth and innovation in vocabulary selection. In terms of syntactic complexity, ChatGPT translation is similar to both human translation and DeepL translation. Notably, ChatGPT translation excels in the proportion of coordinate phrases and complexity of verb phrases compared to human translation. Furthermore, it surpasses the DeepL translation in terms of the average length of T units, underscoring its proficiency in formulating intricate sentences. These findings highlight the potential of ChatGPT translation to effectively handle linguistic diversity and complexity, shedding light on how ChatGPT can be strategically employed to enhance translation quality.