---
title: Qwen/Qwen3-Embedding-8B
description: The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking ta. Qwen3, 7.6B parameters.
canonical_url: https://superlinked.com/models/qwen-qwen3-embedding-8b
last_updated: 2026-08-24
---

# Qwen/Qwen3-Embedding-8B

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-8B on HuggingFace](https://huggingface.co/Qwen/Qwen3-Embedding-8B)
Base model: [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base)

## Overview

| Field | Value |
|-------|-------|
| Architecture | Qwen3 |
| Parameters | 7.6B |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 4,096 |
| Max sequence length | 40,960 tokens |
| License | apache-2.0 |
| Inputs | text |

## Benchmarks

### CQADupstackPhysicsRetrieval

Domain: scientific · Task: retrieval · Language: en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 · Queries: 1,039

**Quality:** ndcg at 10: 0.5802 · map at 10: 0.5124 · mrr at 10: 0.5718

[Reference](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/)

### CosQA

Domain: technology · Task: retrieval · Language: en

Code search with natural language queries

Corpus: 6,267 · Queries: 500

**Quality:** ndcg at 10: 0.4110 · map at 10: 0.3229 · mrr at 10: 0.3768

[Reference](https://arxiv.org/abs/2105.13239)

### FiQA2018

Domain: finance · Task: retrieval · Language: en

Financial opinion mining and question answering

Corpus: 57,599 · Queries: 648

**Quality:** ndcg at 10: 0.6463 · map at 10: 0.5560 · mrr at 10: 0.7184

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

### LegalBenchConsumerContractsQA

Domain: legal · Task: retrieval · Language: en

Question answering on consumer contracts

Corpus: 153 · Queries: 396

**Quality:** ndcg at 10: 0.8486 · map at 10: 0.8092 · mrr at 10: 0.8092

[Reference](https://huggingface.co/datasets/nguha/legalbench)

### NFCorpus

Domain: medical · Task: retrieval · Language: en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 · Queries: 323

**Quality:** ndcg at 10: 0.4140 · map at 10: 0.1592 · mrr at 10: 0.6159

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

### SCIDOCS

Domain: scientific · Task: retrieval · Language: en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 · Queries: 1,000

**Quality:** ndcg at 10: 0.3270 · map at 10: 0.2092 · mrr at 10: 0.5011

[Reference](https://allenai.org/data/scidocs)

### SciFact

Domain: scientific · Task: retrieval · Language: en

Scientific claim verification using research literature

Corpus: 5,183 · Queries: 300

**Quality:** ndcg at 10: 0.7871 · map at 10: 0.7394 · mrr at 10: 0.7477

[Reference](https://github.com/allenai/scifact)

### StackOverflowQA

Domain: technology · Task: retrieval · Language: en

Programming question answering from Stack Overflow

Corpus: 19,931 · Queries: 1,994

**Quality:** ndcg at 10: 0.9470 · map at 10: 0.9367 · mrr at 10: 0.9367

[Reference](https://arxiv.org/abs/2407.02883)