vanchin/deepseek-ocr
DeepSeek-OCR, centered on 'exploring vision-text compression boundaries', redefines the functional positioning of vision encoders from a large language model (LLM) perspective, providing a new solution balancing accuracy and efficiency for document recognition, image-to-text conversion, and other high-frequency scenarios.
Inference Service Provider
The inference service provider for vanchin/deepseek-ocr is Kuaishou Vanchin.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image | Output Modality | Text |
Model Experience | Unsupported | Function Calling | Unsupported |
Structured Outputs | Supported | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 8192 | Max Output Length | 8192 |
Context Window | 8192 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
China (Beijing)
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.216 | Per 1M tokens |
Output | 0.216 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 500 |
TPM (Tokens Per Minute) | 1,000,000 |