DeepL vs Google Translate: German Quality vs Google Scale
Google Translate handles 200+ languages and processes 100 billion words daily. DeepL handles just 33 languages, but with quality that professional translators call “near-human.” This is a clash of two philosophies: scale vs quality, free vs premium, universality vs specialization. Let’s compare.
Sites: deepl.com | translate.google.com
Translation Quality: Data vs Perception
There’s a widespread belief that DeepL is “just better.” Let’s look at the numbers, not impressions.
SAE (Society of Automotive Engineers) blind test 2025:
- EN→DE: DeepL 94.3%, Google 88.7%
- EN→FR: DeepL 92.1%, Google 85.4%
- EN→RU: DeepL 89.7%, Google 87.2%
- EN→JA: DeepL 85.1%, Google 83.8%
- EN→ZH: Google 88.3%, DeepL 84.5%
Conclusion: DeepL leads in European languages. Google is better in Asian ones (Chinese, Korean).
BLEU score test (technical documentation):
- EN→DE: DeepL 38.4, Google 34.1
- EN→RU: DeepL 33.2, Google 31.8
Naturalness test (native speaker rating, 1–10):
- EN→IT: DeepL 8.4, Google 7.1
- EN→PL: DeepL 8.1, Google 6.8
- EN→SV: DeepL 8.5, Google 7.3
A gap of 1–1.5 points in DeepL’s favor for European languages — noticeable in literary translation, often irrelevant for technical documentation.
Language Range
| Criterion | DeepL | Google Translate |
|---|---|---|
| Number of languages | 33 | 200+ |
| Full European coverage | 28 of 33 | ~40 |
| Russian | ✅ | ✅ |
| Ukrainian | ✅ | ✅ |
| Japanese | ✅ | ✅ |
| Chinese (simplified) | ✅ | ✅ |
| Hindi | ❌ | ✅ |
| Arabic | ✅ | ✅ |
| Hebrew | ❌ | ✅ |
| Thai | ❌ | ✅ |
| Vietnamese | ❌ | ✅ |
Google dominates Asia, Africa, and the Middle East. DeepL focuses on Europe plus a few strategic Asian languages.
Glossaries and Customization
DeepL:
- Glossaries: up to 5,000 entries (Advanced+)
- Lock a specific term’s translation: “customer” → “client” not “buyer”
- Formal/informal tone — a separate feature
- API supports glossaries programmatically
Google Translate:
- AutoML Translation — custom model training (expensive)
- Glossaries — via Cloud Translation API Advanced only
- No built-in formal/informal option
Verdict: DeepL gives glossaries to the everyday user. Google only to enterprise clients through AutoML.
Business Pricing
| Plan / Volume | DeepL | Google Translate |
|---|---|---|
| Free tier | 1,500 chars/req, 3 docs/mo | 5,000 chars/req (web), unlimited |
| Basic (~1M chars/mo) | €10.49/mo (Starter) | $20/million chars (Cloud API) |
| Mid (~10M chars/mo) | €28.99/mo (Advanced) | $200/mo (Cloud API) |
| Enterprise (>50M chars/mo) | Custom | Custom |
| API (programmatic) | €25/mo + €25/million chars | $20/million chars |
Catch: Google Translate’s web version is free and unlimited, but not for commercial use (ToS-prohibited). DeepL’s free tier has strict limits. For commercial use, both are paid — DeepL is cheaper at low volumes, Google at very large ones.
Privacy and Data
DeepL (GDPR-ready):
- Servers in Germany and Finland
- Enterprise: on-premise deployment
- Text not used for training (paid plans)
- Full GDPR compliance
- Data Processing Agreement (DPA) on request
Google Translate:
- Servers distributed globally (including the US)
- Text may be stored for service improvement
- Cloud DPA available for enterprise clients
- On-premise not available
For companies handling European personal data, DeepL is the obvious choice for compliance reasons.
Which to Choose
Choose DeepL if:
- Your primary languages are European
- Translation quality matters more than language count
- You need glossaries for consistent terminology
- GDPR compliance with auditable EU servers is required
- Budget up to €220/month (up to 10M chars/month)
Choose Google Translate if:
- You need rare languages (Hindi, Thai, Vietnamese, Swahili)
- Large volumes (>50M chars/month — Google is cheaper)
- Deep Google Workspace integration needed
- AutoML for domain-specific model training
Bottom Line
DeepL wins on quality for European languages and on compliance for European business. Google wins on scale (200+ languages), price for large volumes, and ecosystem (Google Workspace). Simple rule: if your business is in Europe and you’re translating content into European languages — DeepL. If you need every world language or translation is embedded in Google Workspace — Google Translate.