Multimodal vector model developed by Tongyi Lab based on pre-trained multimodal foundation models. Generates high-dimensional continuous vectors from text, image, or video inputs for downstream tasks including search, classification, and content moderation.
Inference Service Provider
The inference service provider for multimodal-embedding-v1 is QwenCloud.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image Video | Output Modality | — |
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 | 512 | Max Output Length | 0 |
Context Window | 0 |
Rate Limits
- China North 2 (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 120 |
TPM (Tokens Per Minute) | 1,000,000 |