Qwen3 Vision-Language Embedding 2B
Qwen3 Vision-Language Embedding 2B is an AI model published by 阿里巴巴, released on 2026-01-08, for Embedding model, with 2B parameters, and 32K context length, requiring about 4.26GB storage, under the Apache 2.0 license, with a 74.96 score on MMEB-v2-Image.
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-VL-Embedding-2B currently shows benchmark results led by MMEB-v2-Image (4 / 6, score 74.96). 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 Vision-Language Embedding 2B is an AI model published by 阿里巴巴, released on 2026-01-08, for Embedding model, with 2B parameters, and 32K context length, requiring about 4.26GB storage, under the Apache 2.0 license, with a 74.96 score on MMEB-v2-Image.
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