Qwen3-Embedding-4B
Qwen3-Embedding-4B is an AI model published by Alibaba, released on 2025-06-05, for Embedding model, with 4B parameters, and 32K context length, requiring about 8GB storage, with a 69.45 score on MTEB.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
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Qwen3-Embedding-4B currently shows benchmark results led by MTEB (2 / 5, score 69.45). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
Qwen3-Embedding-4B is an AI model published by Alibaba, released on 2025-06-05, for Embedding model, with 4B parameters, and 32K context length, requiring about 8GB storage, with a 69.45 score on MTEB.
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