Early this morning, Alibaba open-sourced two new Qwen3 series models, Qwen3-Embedding and Qwen3-Reranker. These two models are specially designed for text characterization, retrieval, and sorting tasks. Based on Qwen3 basic model training, they fully inherit the advantages of Qwen3 in understanding multilingual texts and support 119 languages. According to test data, Qwen3 Embedding performed very well in multi-language text characterization benchmarks. Among them, the 8B parameter ranked first with a high score of 70.58, surpassing many commercial API services, such as Google's Gemini-Embedding.

Early this morning, Alibaba open-sourced two new Qwen3 series models, Qwen3-Embedding and Qwen3-Reranker. These two models are specially designed for text characterization, retrieval, and sorting tasks. Based on Qwen3 basic model training, they fully inherit the advantages of Qwen3 in understanding multilingual texts and support 119 languages. According to test data, Qwen3 Embedding performed very well in multi-language text characterization benchmarks. Among them, the 8B parameter ranked first with a high score of 70.58, surpassing many commercial API services, such as Google's Gemini-Embedding.