DeepL vs Google Translate vs ChatGPT for Translation

Use DeepL for business documents going into a major European language or Japanese, because its glossaries and formality switch keep terms and tone the same from page one to page forty. Use Google Translate when the language is rare or the job is reading rather than publishing, since it covers more than 240 languages for free. Use ChatGPT, or another chat model, only for marketing copy you want rewritten for the market, and have a fluent reader check it, because it will change things you did not ask it to change.

That last part is the one people learn the hard way. A chat model is a better writer than either translation engine. It is also the only one of the three that will decide, unprompted, that your second paragraph was redundant.

AI Tools Digest does not make, sell or earn from any of these tools. The verdicts are sorted by the job in front of you, and none of the three is ranked first. If you are choosing a general chat assistant rather than a translator, our Claude vs ChatGPT vs Gemini comparison covers that decision.

DeepL, Google Translate and ChatGPT compared

Tool	Best for	Languages	Free tier	Paid or API price	Terminology control	Key trade-off
DeepL	Contracts, manuals, support macros and other text that has to read the same every time	Strongest in European languages, Japanese, Korean and Chinese; far fewer languages than Google	1,500 characters per translation on the web; API Free allows 500,000 characters a month	DeepL Pro is a monthly subscription per user; API Pro is a base fee plus $25 per million characters	Glossaries, plus a formal or informal setting for languages such as German and Japanese	Free web text may be used to train DeepL's models; Pro text is deleted after translation
Google Translate	Reading foreign-language material, and rare languages	More than 240	The web and mobile apps are free, including document upload	Cloud Translation API is $20 per million characters after the first 500,000 each month	Glossaries exist in the Cloud Translation API (Advanced edition); none in the free app	Fluent but flat; terms drift across a long document
ChatGPT	Ad copy, landing pages and emails you want adapted for a market, with a style brief	Any language the model handles well; quality falls off sharply outside the big ones	Free plan with usage limits	ChatGPT Plus is $20 a month; the API bills per token	Whatever you paste into the prompt, applied with less discipline than a real glossary	Can drop or add sentences without telling you

Limits and prices are from each vendor's published pages as of November 2026. DeepL Pro pricing varies by country and by how many users you buy for, so check its pricing page for your region before you budget.

DeepL, the one we would put in front of customers

DeepL's advantage is boring. Tell it once that "ticket" means Ticket in German support replies and not Fahrkarte, put the pair in a glossary, and it uses that word in every document you run through it. Neither of the other two will hold a term that faithfully across a forty-page manual.

The formality switch matters more than it sounds. German and Japanese both make you choose how politely to address the reader, and a support macro that says du to a bank customer reads as a mistake, every time, to every customer. DeepL lets you set that per request in the API, or per document in Pro. A chat model will follow the instruction too, for a while.

The free web translator caps each translation at 1,500 characters, which is roughly one 250-word email. Anything longer gets cut, and you paste the rest in pieces. API Free is far more generous at 500,000 characters a month, which is enough for a small help center, and it supports glossaries.

One setting deserves attention before you paste anything confidential. DeepL states that text submitted through the free version may be used to improve its models, while Pro and API Pro text is deleted once the translation is done. If the document is a customer contract, that line decides the plan for you.

Google Translate, the one for reading

Google Translate is the only one of the three we would trust with Tigrinya.

It covers more than 240 languages after the 110 it added in 2024, and for many of them it is the only machine translation a working team will get. The output is fluent and literal. Use it to understand an inbound email from a supplier in Vietnam or a regulation published in Polish, and it is very good. Ask it to produce something your customers will read and the seams show, mostly as terminology that changes from paragraph to paragraph and a tone that never quite lands as formal or casual.

Two features are underrated. Document upload on the web keeps the formatting of a Word or PowerPoint file, at no cost. And =GOOGLETRANSLATE(A2, "en", "de") in Google Sheets will translate a column of product names or UI strings in place, which is how a lot of small teams do a first pass on a localization file before a human cleans it up.

For developers, the Cloud Translation API's free 500,000 characters a month matches DeepL API Free, and $20 per million characters after that is the simplest pricing of the three. Glossaries live in the Advanced edition of the API, not in the consumer app.

ChatGPT, the one that rewrites

A chat model rewrites as it translates. For marketing copy, that is exactly what you want. Give ChatGPT a brief ("Brazilian Portuguese, informal, our audience is restaurant owners, keep the brand name in English, no exclamation marks") and it will produce a landing page that reads as if someone in São Paulo wrote it. DeepL will give you a correct translation of an American landing page, which is a different and usually worse thing to put in front of a Brazilian restaurant owner.

The same freedom makes it the wrong tool for anything binding. Chat models summarize when they meant to translate, merge two short paragraphs, translate a product name that was supposed to stay in English, and occasionally convert numbers into the target locale's format without asking, so 1,250.50 arrives in the German version as 1.250,50. That last one is correct German. It is also a change nobody approved, in a document where someone might be comparing figures line by line.

Long documents make it worse. On a long file the model can quietly lose a section near the end, and you will not see a warning. The fix is mechanical: translate in chunks you can count, and compare paragraph counts between source and output before anyone reads for quality. If you want the model to self-check, ask it to translate the result back into English and compare that with the original. Back-translation catches dropped sentences well. It does not catch awkward phrasing.

On a free or Plus account, check the data controls before pasting anything private. Consumer ChatGPT conversations can be used to train OpenAI's models unless you turn that setting off, and business plans exclude your data from training by default.

A note on Sie and du

If your German customers are businesses, set DeepL to formal and stop thinking about it.

Where each option fits (and where it does not)

DeepL fits teams translating the same kinds of documents over and over into European languages or Japanese, especially support and legal-adjacent text, where a glossary and a fixed formality level do most of the work. It does not fit a language it does not support, and on the free plan it does not fit anything confidential or anything longer than one email at a time.

Google Translate fits reading and rare languages, plus anyone who wants a free first pass on a spreadsheet of strings. It does not fit customer-facing copy you will publish without an editor. It is the most likely of the three to read like a translation.

ChatGPT fits marketing and product copy that should be adapted for a market, written to a brief and read by a fluent person before it ships. It does not fit contracts, invoices, safety instructions or anything where a dropped sentence is a liability.

Where a human still wins: anything that gets signed, and any launch in a market where nobody on your team reads the language. Every tool here can produce a confident wrong sentence, and only a fluent reviewer will notice. For more writing tools, see the best AI writing tools of 2026; every head-to-head we publish is in the article index and collected under comparisons.

Frequently Asked Questions

Is DeepL better than Google Translate?

For business documents in the languages DeepL supports, usually yes, mainly because of glossaries and the formal or informal setting, which keep terms and tone consistent. Google Translate supports far more languages, more than 240, and is free, so it is the better choice for rare languages and for reading rather than publishing.

Is ChatGPT better than DeepL for translation?

ChatGPT is better for marketing copy you want adapted to a market, because you can give it a style brief. DeepL is better for documents that must say exactly what the source says, because a chat model can drop sentences and change number formats without being asked.

How much text can DeepL translate for free?

The free DeepL web translator handles up to 1,500 characters per translation, roughly a 250-word email. The DeepL API Free plan allows 500,000 characters a month and supports glossaries.

How much does the Google Cloud Translation API cost?

The first 500,000 characters each month are free. After that it costs $20 per million characters.

Is it safe to put confidential documents into DeepL or ChatGPT?

Check the plan first. DeepL states that free-version text may be used to train its models, while DeepL Pro deletes text after translation. Consumer ChatGPT conversations can be used for training unless you turn that off in data controls, and ChatGPT business plans exclude your data from training by default.

Should I use AI translation for legal contracts?

It is fine for a first draft, or for working out what a contract says. Have a qualified, fluent reviewer check any translation that will be signed, filed or relied on, because every AI translator can produce a fluent sentence that says something different from the source.