×
DeepL’s Next-Gen Language Translation AI Outperforms ChatGPT and Google Translate
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

DeepL’s next-gen language model outperforms competitors like Google Translate, ChatGPT-4, and Microsoft in translation quality, requiring fewer edits and improving productivity for businesses.

Groundbreaking technology: DeepL’s new language model combines world-class AI with proprietary linguistic data and the expertise of thousands of language specialists to provide best-in-class translations:

  • In blind tests, language experts prefer DeepL’s translations 1.3x more often than Google Translate, 1.7x more than ChatGPT-4, and 2.3x more than Microsoft.
  • Specialized LLMs tuned for language reduce the risk of hallucinations and misinformation compared to general-purpose models trained on public internet data.

Highest quality translations: Starting with Japanese, German, and Simplified Chinese to and from English, DeepL’s next-gen model significantly improves upon its already top-notch “classic” model:

  • For Japanese and Simplified Chinese, the new model’s quality is 1.7x better than the classic model, while for German, it’s 1.4x better.
  • This improved translation quality helps companies streamline global communications and save time.

Improved productivity and cost savings: DeepL’s translations require fewer edits than competitors, with Google needing 2x and ChatGPT-4 needing 3x more edits to achieve the same quality:

  • The new model decreases time spent on translation and copy editing, allowing teams to focus on higher-value work.
  • A 2024 Forrester study found that DeepL reduced translation time by 90%, cut workloads by 50%, and delivered a 345% ROI.

Enterprise-level security and privacy: DeepL maintains its commitment to security with the next-gen model, thanks to proprietary data centers, ISO 27001 certification, GDPR compliance, SOC 2 type 2 reporting, and a policy of never using Pro customer data for model training.

Broader implications: DeepL’s next-gen language model represents a significant advancement in AI-powered translation, raising the bar for competitors and offering businesses a powerful tool to enhance global communication and productivity. As more languages are added and the technology continues to evolve, DeepL is well-positioned to maintain its lead in the translation market, helping companies effectively navigate an increasingly connected world.

DeepL's next-gen LLM outperforms ChatGPT-4, Google, and Microsoft for translation quality

Recent News

Baidu reports steepest revenue drop in 2 years amid slowdown

China's tech giant Baidu saw revenue drop 3% despite major AI investments, signaling broader challenges for the nation's technology sector amid economic headwinds.

How to manage risk in the age of AI

A conversation with Palo Alto Networks CEO about his approach to innovation as new technologies and risks emerge.

How to balance bold, responsible and successful AI deployment

Major companies are establishing AI governance structures and training programs while racing to deploy generative AI for competitive advantage.