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Alibaba Cloud (Qwen): Text Embedding v4

qwen/text-embedding-v4Available via Safeguard
Public cloudPrivate cloud🇨🇳🇭🇰

Use with Safeguard

Text Embedding v4 is available via Safeguard. Leave your work email and we will enable it for your workspace.

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Modality
Embeddings
Context
8,192 tokens
Input
$0.07 / 1M tokens
Output
Price on request

Overview

Alibaba's text embedding model for search, RAG and clustering, with configurable dimensions from 64 to 2048.

Provider
Alibaba Cloud (Qwen)
Modality
Embeddings
Input
text
Output
embeddings
Weights
Closed
Distillable
NoLicence or terms, checked .
Tags
embeddings, retrieval

Data policy

Prompts go to
Alibaba Cloud Model Studio (prices shown are for the Singapore / International deployment)
Retention
Alibaba Cloud states it never uses your data for model training, Model Studio stores data generated from model calls as required by law (no period stated)
Zero data retention
Not stated by the provider
Region
Singapore (International) for these prices, other regions such as China (Beijing), Hong Kong, Frankfurt, Virginia and Tokyo have separate price lists

Summarised from the provider's published terms. The provider's own policy is what applies.

Where you can run it

How Text Embedding v4 can be deployed, bought and reached through Safeguard.

Deployment
Public cloudPrivate cloud
Procurement
Not published yet
Inference regions
🇨🇳China🇭🇰Hong Kong SAR ChinaCloud provider's availability page, checked .

Closed weights stay with the provider, so this model runs in the provider's cloud, never on-prem or air-gapped.

Pricing

ProviderInput / 1M tokensOutput / 1M tokensContext
Alibaba Cloud (Qwen)$0.07Price on request8K
Notes
International (Singapore). Billed by input tokens, output free.
Source
Alibaba Cloud (Qwen) pricing , last verified October 8, 2026

No markup on model usage: you pay the provider's list price.

API

OpenAI-compatible. Your API key and access to this model are set up for your workspace when you choose Use with Safeguard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.safeguard.sh/gpt/v1",
    api_key="SAFEGUARD_API_KEY",
)

response = client.chat.completions.create(
    model="qwen/text-embedding-v4",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Base URL https://api.safeguard.sh/gpt/v1, model qwen/text-embedding-v4.

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