Google Launches TranslateGemma Open Translation Models Based on Gemma 3

Google announces the launch of TranslateGemma on January 15, 2026, as an open suite of translation-focused AI models derived from Gemma 3. The models provide efficient, high-quality translation across 55 languages and are designed to run across devices from mobiles to cloud systems.

TranslateGemma (Open Translation Models) :

Dimension	Key Details
Type	Provides for a suite of open, translation-focused artificial intelligence models.
Base architecture	Built on the Gemma 3 architecture.
Language coverage	55 languages.
Model sizes	Available in 4B, 12B and 27B parameter sizes.
Cross-device deployment	Applies to translation across devices from mobiles to cloud systems.
Training methodology	Uses a two-stage fine-tuning process with supervised learning on human and synthetic translations, followed by reinforcement learning guided by multiple reward models.
Benchmark evaluation	Technical evaluations use the WMT24++ benchmark.
Benchmark performance claims	On WMT24++, the 12B TranslateGemma model outperforms the 27B Gemma 3 baseline; the 4B model rivals the earlier 12B baseline.
Efficiency attributes	Provides for faster inference, lower latency, and reduced computational cost while maintaining high translation fidelity.
Language-pair expansion	Training has been extended to nearly 500 more language pairs.
Multimodal capability	Retains multimodal strengths of Gemma 3 and shows improved performance in translating text within images even without dedicated multimodal fine-tuning.
Suggested deployment by size	4B applies to mobile and edge devices; 12B applies to consumer laptops and local development; 27B applies to high-fidelity cloud deployment on GPUs or TPUs.