Qwen3 Embedding 0.6B

Alibaba Qwen chatcode Free

API ID: qwen/qwen3-embedding-0.6b

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About 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.

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Price Ranking
#6 lowest price among 1240 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
8k
Max Output
โ€”
Release Date
2025-11-05
Capabilities
chat code
Input Modalities
text
Output Modalities
embeddings

Best For

  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
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This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Alibaba Qwen Model Lineup

Compare all models from Alibaba Qwen to find the best fit

Model Input Output Context Capabilities
Qwen3 Embedding 0.6B Current Free Free 8k chat code
Qwen2.5-VL 7B Instruct Free Free 33k chat vision tool_use
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
Qwen 2 7B Instruct Free Free 33k chat code
Qwen 2 7B Instruct Free Free 33k chat code

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๐Ÿš€ Quick Start

Get started with Qwen3 Embedding 0.6B API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

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