Part of the reason for the wait is that DeepL has been taking a pretty deliberate approach to building its product. Unlike many others in the world of AI applications that lean on and tweak other companies’ large language models (LLMs), DeepL’s aim is to build its service from the ground up. In July, the company released a new LLM optimized for translations that it says outperforms GPT-4, and those from Google and Microsoft, not least because its primary purpose is for translation. The company has also continued to enhance the quality of its written output and glossary.