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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. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

Pricing

Input Price
/ 1M tokens
Output Price
/ 1M tokens
Context Window
8K
tokens

💱 匯率 USD/NTD = 31.58 · 不含稅 · 更新於 2026/06/10

ProviderQwen
Released2025年11月
Model IDqwen3-embedding-0.6b

Technical specifications

Context window
8K tokens
Reasoning
Input
Text
Output
Not specified
!
此模型已下架 — API 呼叫會回傳 HTTP 410,但本頁面保留以利歷史查詢

Quick Start

Use Qwen3 Embedding 0.6b via BazaarLink API — just change the base_url:

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://bazaarlink.ai/api/v1",
    api_key="sk-bl-YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="qwen3-embedding-0.6b",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://bazaarlink.ai/api/v1",
  apiKey: "sk-bl-YOUR_API_KEY",
});

const response = await client.chat.completions.create({
  model: "qwen3-embedding-0.6b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Qwen3 Embedding 0.6b via BazaarLink?

  • USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
  • OpenAI-compatible API — zero code changes required
  • Automatic failover — multi-provider redundancy for the same model
  • Chinese-language support — local team, instant help
Try Now← All Models

Frequently Asked Questions

What is 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. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

How much does the Qwen3 Embedding 0.6b API cost?

Qwen3 Embedding 0.6b pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.

How do I use Qwen3 Embedding 0.6b with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "qwen3-embedding-0.6b". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Qwen3 Embedding 0.6b?

Qwen3 Embedding 0.6b supports a context window of 8,192 tokens.

Is Qwen3 Embedding 0.6b available for free?

Qwen3 Embedding 0.6b is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

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