LILT vs ModernMT
A side-by-side comparison of LILT and ModernMT, two Translation tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
LILT
TranslationEnterprise AI translation with an adaptive engine and built-in human verification.
View LILTModernMT
TranslationAdaptive neural machine translation that learns from your corrections.
View ModernMTAt a glance
| Attribute | LILT | ModernMT |
|---|---|---|
| Category | Translation | Translation |
| Pricing (differs) | PAID | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, API | Web, API, Linux |
| Model support | Self-contained (on-device) | Self-contained (on-device) |
| Vendor (differs) | LILT, Inc. | Translated |
The honest brief
LILT
Its Contextual AI learns from each translator edit in real time with verified human review built in — adaptive where raw-MT rivals are static.
- Engine adapts to translator edits in real time
- Built-in human-expert verification layer
- IL6+ gov compliance and managed deployments
- Full API plus CMS connector framework
- No free tier — sales-led procurement only
- Pricing fully opaque
- Web and API only; no desktop or mobile apps
- Overkill for individuals vs instant MT tools
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