---
title: Qwen/Qwen3-Embedding-0.6B
description: The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking ta. Qwen3, 596M parameters.
canonical_url: https://superlinked.com/models/qwen-qwen3-embedding-0-6b
last_updated: 2026-05-24
---

# Qwen/Qwen3-Embedding-0.6B

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-0.6B on HuggingFace](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B)
Base model: [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base)

## Overview

| Field | Value |
|-------|-------|
| Architecture | Qwen3 |
| Parameters | 596M |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 1,024 |
| Max sequence length | 32,768 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

**Performance (L4 b1 c16):** Corpus 21.2K tok/s · Corpus p50 94.7ms · Query 2.7K tok/s · Query p50 58.2ms

[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

**Performance (L4 b1 c16):** Corpus 12.7K tok/s · Corpus p50 66.3ms · Query 1.4K tok/s · Query p50 58.7ms

[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

**Performance (L4 b1 c16):** Corpus 20.8K tok/s · Corpus p50 128.2ms · Query 3.1K tok/s · Query p50 55.5ms

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

### LegalBenchConsumerContractsQA

Domain: legal · Task: retrieval · Language: en

Question answering on consumer contracts

Corpus: 153 · Queries: 396

**Performance (L4 b1 c16):** Corpus 19.9K tok/s · Corpus p50 439.6ms · Query 4.1K tok/s · Query p50 59.0ms

[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: 0.3689 · map at 10: 0.1395 · mrr at 10: 0.5716

**Performance (L4 b1 c16):** Corpus 21.2K tok/s · Corpus p50 240.7ms · Query 1.3K tok/s · Query p50 55.9ms

[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: 0.6538 · map at 10: 0.5819 · mrr at 10: 0.7257

**Performance (L4 b1 c16):** Corpus 18.5K tok/s · Corpus p50 144.8ms · Query 1.8K tok/s · Query p50 78.3ms

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

### SCIDOCS

Domain: scientific · Task: retrieval · Language: en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 · Queries: 1,000

**Performance (L4 b1 c16):** Corpus 20.0K tok/s · Corpus p50 156.9ms · Query 3.0K tok/s · Query p50 54.5ms

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

### SciFact

Domain: scientific · Task: retrieval · Language: en

Scientific claim verification using research literature

Corpus: 5,183 · Queries: 300

**Performance (L4 b1 c16):** Corpus 21.1K tok/s · Corpus p50 218.8ms · Query 3.7K tok/s · Query p50 61.3ms

[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

**Performance (L4 b1 c16):** Corpus 20.6K tok/s · Corpus p50 172.8ms · Query 18.9K tok/s · Query p50 239.7ms

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