DeepL vs Google Translate vs ChatGPT for Developers (2026)
A developer-focused comparison of the DeepL API, Google Cloud Translation, and LLM APIs like ChatGPT for software localization. Covers why NMT and LLM engines fail differently, a full comparison table, placeholder integrity (tag_handling vs translate="no" vs prompt + validation) with a reusable validator, glossaries and terminology control, why msgctxt and translator comments give LLMs the edge on UI strings, language coverage, real cost math comparing characters to tokens, working Python for all three against a PO file, CI gates, and the hybrid routing pipeline most teams end up with.