Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
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Alibaba's Qwen team released Qwen3 Embedding, a series of text embedding and reranking models built on the Qwen3 foundation model and open-sourced under Apache 2.0 license. The 8B embedding model ranks first on the MTEB multilingual leaderboard with a score of 70.58 as of June 5, 2025. The models support over 100 languages, flexible vector dimensions, and user-defined instructions for text retrieval and reranking tasks.
Why it matters
GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundation model. Leveraging Qwen3’s robust multilingual text understanding capabilities, the series achieves state-of-the-art performance across multiple benchmarks for text embedding and reranking tasks. We have open-sourced this series of text embedding and reranking models under the Apache 2.