---
title: Qwen/Qwen3-Embedding-4B
description: The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking ta. Qwen3, 4.0B parameters.
canonical_url: https://superlinked.com/models/qwen-qwen3-embedding-4b
last_updated: 2026-06-15
---

# Qwen/Qwen3-Embedding-4B

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).

Source: [Qwen/Qwen3-Embedding-4B on HuggingFace](https://huggingface.co/Qwen/Qwen3-Embedding-4B)
Base model: [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base)

## Overview

| Field | Value |
|-------|-------|
| Architecture | Qwen3 |
| Parameters | 4.0B |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 2,560 |
| Max sequence length | 32,768 tokens |
| License | apache-2.0 |
| Inputs | text |

## Benchmarks

### FiQA2018

Domain: finance · Task: retrieval · Language: en

Financial opinion mining and question answering

Corpus: 57,599 · Queries: 648

**Quality:** ndcg at 10: 0.1447 · map at 10: 0.1137 · mrr at 10: 0.0335

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

### NFCorpus

Domain: medical · Task: retrieval · Language: en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 · Queries: 323

**Quality:** ndcg at 10: 0.4103 · map at 10: 0.1578 · mrr at 10: 0.6207

**Performance (L4 b1 c16):** Corpus 6.1K tok/s · Corpus p50 553.1ms · Query 333 tok/s · Query p50 150.1ms

[Reference](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/)

### NanoFiQA2018Retrieval

Domain: finance · Task: retrieval · Language: en

Smaller subset of the FiQA financial QA dataset

**Quality:** ndcg at 10: 0.6875 · map at 10: 0.6152 · mrr at 10: 0.7569

**Performance (L4 b1 c16):** Corpus 5.2K tok/s · Corpus p50 375.9ms · Query 716 tok/s · Query p50 153.7ms

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