The general text vectorization model is a multilingual unified text vectorization model developed by Tongyi Lab based on the large language model (LLM) foundation. This model is designed for multiple mainstream languages worldwide and provides advanced vectorization services to help developers convert text data into high-quality vector data.
Inference Service Provider
The inference service provider for text-embedding-v3 is QwenCloud.
Model Capabilities
- Singapore
Scope: International
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text | Output Modality | Text |
Model Experience | Unsupported | Function Calling | Unsupported |
Structured Outputs | Unsupported | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | — | Max Output Length | — |
Context Window | — |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit QwenCloud console for promotional offers.
- Singapore
Scope: International
| Billing Item | Price (USD) | Unit |
|---|---|---|
Text Input | 0.07 | Per 1M tokens |
Rate Limits
- Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 6000 |
TPM (Tokens Per Minute) | 24,000,000 |