DeepL vs ChatGPT: which one should you use for translation?

DeepL is a dedicated translator; ChatGPT is an assistant that also translates. Here is which one wins for each kind of work, and how to use them together.

The short answer

DeepL is the better choice for translating whole documents, keeping terminology consistent with glossaries, live meetings with DeepL Voice and confidential work on a paid plan. ChatGPT, from OpenAI, is better when a translation must also be rewritten, localised or answered. Since September 2026 DeepL works inside ChatGPT through MCP, so many teams use both. DeepL's free version may train on your texts.

DeepLChatGPT
Made byDeepL SE, GermanyOpenAI, United States
What it isA translation and writing serviceA general AI assistant that also translates
LanguagesMore than 100 (about 70 added in beta in November 2025)ChatGPT Translate lists more than 40
Whole documentsPDF, Word and PowerPoint with layout keptFile uploads (limited on Free); documents via ChatGPT Work
GlossariesYes; translation memory on Business and EnterpriseOnly as instructions you write
Rewriting and toneDeepL Write, style rules on paid plansAny rewrite you ask for; one-click tone options in ChatGPT Translate
Live speechDeepL Voice, desktop app for Zoom, Teams and MeetVoice conversations; audio uploads on paid plans
Free plan50,000 characters and 1 document a monthUnlimited text chats with GPT-6 Luna
Training on your textFree version yes, no opt-out; paid plans neverOn by default for Free, Plus and Pro, opt out; not by default on Business
Works togetherDeepL connector for ChatGPT via MCPAdd DeepL as a custom connector

DeepL vs ChatGPT: the short verdict

DeepL and ChatGPT both translate well, but they are built for different jobs. DeepL, from DeepL SE in Cologne, Germany, is a translation service: it translates text, whole files and live speech in more than 100 languages, and gives you glossaries, style rules and, on Business and Enterprise, translation memory. ChatGPT, from OpenAI, is a general assistant that runs on the GPT-6 model family. It translates as part of a conversation, so it can also rewrite, shorten, explain and reply in the same place, and OpenAI now has a dedicated ChatGPT Translate page at chatgpt.com/translate with more than 40 languages.

Our verdict, based on each maker's documented features: DeepL wins for documents, consistent terminology, live meetings and confidential work on a paid plan. ChatGPT wins when the translation has to be adapted, rewritten or answered. Since September 2026 you do not have to choose: DeepL works inside ChatGPT as a custom connector through MCP, so ChatGPT can call DeepL for the translation and apply your DeepL glossaries.

Translating whole documents: DeepL wins

DeepL's document translation takes a PDF, Word (.docx) or PowerPoint (.pptx) file and returns the same file translated, with tables, headings and images where they were. The free version allows one file a month up to 5 MB, and Business accepts files up to 100 MB. For a slide deck or a contract with numbered clauses, getting the layout back intact saves the most time.

ChatGPT accepts file uploads (limited on the free plan) and can produce documents, presentations and spreadsheets in ChatGPT Work. But OpenAI does not describe a layout-preserving file translation in the way DeepL does, so plan on checking formatting. If you have a stack of files to translate, DeepL is the safer tool.

Consistent terminology across a team: DeepL wins

DeepL glossaries fix how a product name or technical term is always translated: one glossary with up to five entries per language pair on the free version, five glossaries with up to 1,000 entries per language pair on Team, and unlimited glossaries plus translation memory on Business and Enterprise. Translation memory reuses your approved translations, which is what professional translators rely on.

In ChatGPT you can paste a term list into the chat or a project's instructions (OpenAI lists projects on Plus), and it will usually follow it. Usually is the problem: there is no glossary engine underneath. If your company has a house style in several languages, DeepL earns its fee here.

Marketing copy and localisation: ChatGPT wins

Marketing text rarely needs a literal translation. A headline that works in English may need a different idea in German or Japanese. ChatGPT handles this naturally: you can ask it to translate, then shorten the headline to under eight words, change the tone for small business owners, and explain which idioms do not carry across. ChatGPT Translate adds one-click options to make a translation more fluent, more professional or simpler.

DeepL has DeepL Write for polishing text in the same language, with style and tone options, and style rules on paid plans. That is useful for a clean, correct translation, but it is not a creative partner in the way a chat assistant is.

Everyday emails and messages: a draw, depending on what comes next

If you only need to understand an email or send a short reply in another language, both do the job, and DeepL's free 50,000 characters a month is plenty. If you need to reply, summarise a thread or turn three foreign-language messages into a decision, ChatGPT is faster because the translation and the next step happen in one conversation. ChatGPT's free plan gives unlimited text chats with GPT-6 Luna, subject to abuse guardrails.

Live meetings and conversations: DeepL wins

DeepL Voice is built for this. On 16 April 2026 DeepL launched Voice-to-Voice, and on 15 September 2026 it released new Voice AI models that keep each speaker's voice recognisable in 14 languages, made voice-to-voice translation generally available in more than 30 languages, and added a Windows and Mac desktop app that detects calls in Zoom, Microsoft Teams and Google Meet and shows live translated subtitles. Group Conversations lets workshop participants join by QR code. The Individual plan includes 30 minutes of DeepL Voice per user per month.

ChatGPT has voice conversations with plan-dependent limits, and paid plans can upload audio to transcribe and summarise it. That helps after a meeting, but OpenAI does not offer a meeting subtitle overlay like DeepL's.

Privacy and confidential material: DeepL paid plans win, with a warning about free

This is where the free versions of both tools need care. DeepL's free version may use your texts, including corrections, to train its models, and the privacy policy describes no opt-out. On paid DeepL plans, texts are deleted after translation and never used for training.

On ChatGPT's Free, Plus and Pro plans, the setting Improve the model for everyone is on by default. You can switch it off on the web under your account menu, Settings, Data controls. ChatGPT Business and Enterprise content is not used for training by default. So the safe options are a paid DeepL plan, ChatGPT with training switched off, or ChatGPT Business. The free DeepL version is the one to avoid for client data, because it has no switch.

Same task, both tools

Here is how one realistic task runs in each tool, described from the features each maker documents rather than from a test: translate a 12-slide English sales deck into German for a client meeting next week, keep the product names in English, and make the headlines sound natural.

In DeepL

  1. Add the product names to a glossary so they always stay in English.
  2. Drop the .pptx file into the document translator and choose German. The deck comes back as a .pptx with the layout intact. On the free version this uses your one document for the month.
  3. On a paid plan, apply your style rules so the deck follows your house style.
  4. Read the headlines. DeepL gives you an accurate German version, but rewriting a headline for impact is up to you, or to DeepL Write if you want help polishing it.

In ChatGPT

  1. Upload the deck, or paste the slide text, and give the instruction: translate into German, formal address, keep these product names in English.
  2. Ask for a second pass: make each headline under eight words and sound like a German marketer wrote it, and list the original next to the new version.
  3. Ask ChatGPT Work to produce the deck if you are on a plan that has it, or copy the text back into your slides yourself. Check the layout and every number.

What the comparison shows

DeepL gets you a correctly formatted file with fixed terminology in the fewest steps. ChatGPT gets you better headlines but more manual work on the file. The best route uses both: in ChatGPT with the DeepL connector, ask it to use DeepL to translate the file with your glossary, then ask ChatGPT itself to suggest sharper headlines.

Who should pick DeepL and who should pick ChatGPT

  • Pick DeepL if you translate files every week, work in legal, HR, support or technical documentation, need the same terms every time, or run multilingual meetings. Pay for a plan if the material is confidential: the free version may train on it.
  • Pick ChatGPT if you need translation as one step of a bigger job: adapting marketing copy, replying to customers, summarising foreign-language research or drafting in two languages at once. Switch off Improve the model for everyone first.
  • Pick both if you already pay for ChatGPT and translate regularly. A DeepL account connected to ChatGPT through MCP gives you DeepL's glossaries and document translation without leaving the chat.
  • Pick neither alone for anything public that carries your brand or legal risk. Have a native speaker read it.

Want other options? See DeepL alternatives, our pick of the best AI for translation, the full DeepL guide and ChatGPT guide, or put any two tools side by side in the comparison tool. You can also learn the basics at Learn DeepL.

Prompts to copy

Use DeepL inside ChatGPT, then polish

Use DeepL to translate the attached file into [German] with our glossary [glossary name] and keep the layout. Then, separately, suggest a more natural version of each headline in under eight words and show it next to DeepL's version.

You get: A DeepL-quality file plus sharper headlines to choose from

Localise, do not just translate

Translate this text into [Spanish for Mexico]. Keep these terms in English: [terms]. Use the [informal] form of address. Then list every phrase you changed in meaning to make it sound natural, with the reason. [paste text]

You get: A localised version with a transparent list of changes

Check a DeepL translation

Here is an English original and its [French] translation from DeepL. As a native [French] editor, mark any sentence that sounds unnatural, changes the meaning or uses the wrong level of formality, and suggest a fix for each. [paste both]

You get: A short list of fixes before you publish

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