---
title: Qwen/Qwen3-VL-Embedding-2B
description: The Qwen3-VL-Embedding and Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced . qwen3_vl, 2.1B parameters.
canonical_url: https://superlinked.com/models/qwen-qwen3-vl-embedding-2b
last_updated: 2026-06-05
---

# Qwen/Qwen3-VL-Embedding-2B

The Qwen3-VL-Embedding and Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model.

Source: [Qwen/Qwen3-VL-Embedding-2B on HuggingFace](https://huggingface.co/Qwen/Qwen3-VL-Embedding-2B)
Base model: [Qwen/Qwen3-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct)

## Overview

| Field | Value |
|-------|-------|
| Architecture | qwen3_vl |
| Parameters | 2.1B |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 2,048 |
| Max sequence length | 32,768 tokens |
| License | apache-2.0 |
| Inputs | text, image |

## Benchmarks

### FiQA2018

Domain: finance · Task: retrieval · Language: en

Financial opinion mining and question answering

Corpus: 57,599 · Queries: 648

**Performance (L4 b1 c4):** Corpus 494 tok/s · Corpus p50 35.9ms

[Reference](https://sites.google.com/view/fiqa/)

### Flickr30kI2TRetrieval

Domain: general · Task: retrieval · Language: en

Image-to-text retrieval: retrieve captions from images

Corpus: 31,783 · Queries: 1,000

**Quality:** ndcg at 10: 0.8751 · map at 10: 0.8017 · mrr at 10: 0.9653

**Performance (L4 b1 c4):** Corpus 494 tok/s · Corpus p50 35.9ms · Query 0.0 mpix/s · Query p50 4.3s

[Reference](https://shannon.cs.illinois.edu/DenotationGraph/)