[creesch]

I found that specifically when it comes to proper flow and grammatical rules, chatGPT and other LLMs tend to break down. Certainly when translating from English to another language. From another language to English often goes a lot better, but that really depends on how much training data in that language the LLM has been trained on.

German would be one of the languages where LLMs likely will perform fairly well, as it is one of the languages that LLMs training data often contains quite a lot of.

With DeepL if I am using it to translate a language I am not too familiar with and can't validate the outcome as well I therefore will have more trust in its translation. Because I know that the languages they support are actually specifically implemented for translation reasons.