DeepL's next-gen translation model is LLM-based. LLMs are kind of translation models that have been generalized to serve other purposes. I think you're not wrong that there's still some value to older models, but if you actually care about translation quality you would use both. If you want to use the cheapest thing I don't think a dedicated translator like DeepL is going to be superior to the free tier of a frontier language model.