Tencent's open-source KaLM-Embedding model with billions of parameters tops the MTEB multilingual leaderboard globally.

The KaLM-Embedding-Gemma3-12B-2511 model, developed by Tencent's WeChat team, ranked first globally in the authoritative MTEB multilingual general-purpose embedding model evaluation. With 12 billion parameters, supporting multiple vector dimensions from 3840 to 64, the model possesses outstanding cross-lingual semantic understanding and retrieval capabilities. It excels in multilingual semantic alignment, data quality optimization, and innovative training strategies, providing robust semantic foundation support for multilingual application scenarios.