DeepL vs ModernMT
A side-by-side comparison of DeepL and ModernMT, two Translation tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
ModernMT
TranslationAdaptive neural machine translation that learns from your corrections.
View ModernMTAt a glance
| Attribute | DeepL | ModernMT |
|---|---|---|
| Category | Translation | Translation |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, iOS, Android, macOS, Windows, API | Web, API, Linux |
| Model support | Self-contained (on-device) | Self-contained (on-device) |
| Vendor (differs) | DeepL SE | Translated |
The honest brief
DeepL
Specialized in-house language models, not a repurposed general LLM, prized for fluent, natural translations.
- Translates full documents, not just text
- Developer API for app integration
- DeepL Write for editing
- Broad app coverage
- Next-gen model is paid-only
- Fewer languages than Google
- Not a general assistant
ModernMT
Adapts per string from your TM and edits on the fly, so there's no per-customer engine retraining like older custom-MT setups.
- Open-source ModernMT core, self-hostable
- Adapts to corrections without retraining
- Translation-memory and context aware
- Hosted Hyper Adaptive managed option
- Fewer languages than DeepL/Google
- Self-hosting needs ML/ops effort
- Quality varies by domain corpus