text-embedding-v3

Active

qwen/text-embedding-v3

通用文本向量，是通义实验室基于LLM底座的多语言文本统一向量模型，面向全球多个主流语种，提供高水准的向量服务，帮助开发者将文本数据快速转换为高质量的向量数据。

EmbeddingQwen

Pricing

Pay as you go · priced in CNY

Pay as you go · priced in CNYInput tokens

Input

¥0.500

/ 1M tokens

Embedding models are billed on input tokens only.

Providers and quotes

1 routes · pay as you go

Provider	Input	Context length	Latency	Uptime	Status
dashscope dashscope/text-embedding-v3	¥0.500	—	227ms	0.60%

API examples

OpenAI compatible

Endpoint/embeddingsmodel: qwen/text-embedding-v3

python

from openai import OpenAI

client = OpenAI(
  base_url="https://api.openroute.cn/v1",
  api_key="<ONTOROUTE_API_KEY>",
)

response = client.embeddings.create(
  model="qwen/text-embedding-v3",
  input="The food was delicious and the waiter was friendly.",
)

print(response.data[0].embedding)

OpenRoute exposes an OpenAI-compatible Embeddings API. Call it directly or via the OpenAI SDK.

Request parameters

Calls (30d)

1 supply routes

Avg. latency

227ms

Time to first token

Usage trend

近 14 天 4 tokens

10-0910-22

Connectivity

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