Today we’re announcing Sarvam-Translate, an open-weights model that translates text across 22 Indian languages, with support for long-form text and the ability to handle diverse formats, contexts, and styles.
Sarvam-Translate stands out for its ability to handle the complexities of real-world content. The model excels at translating web pages while preserving structure, interpreting idioms and slang, translating social media posts with emojis, and preserving syntax when translating code files.
Sarvam-Translate achieves significant improvements over much larger models on key Indian language translation benchmarks.
▪️️In human evaluations conducted by language experts, Sarvam-Translate consistently outperformed much larger models, including Gemma3-27B-IT, Llama4 Scout, and Llama-3.1-405B
▪️In automated evaluation on ability to conform to structured long-form content, Sarvam-Translate shows high accuracy (> 4.9 over 5) for 15 languages
Here’s a detailed blog showcasing how Sarvam-Translate performs in real-world translation scenarios, with examples in action and benchmark results -
sarvam.ai/blogs/sarvam-trans…
You can now try Sarvam-Translate on the Sarvam API -
dashboard.sarvam.ai/translat…
Watch this space for more updates!