vanchin/deepseek-r1
DeepSeek-R1 is a 671B-parameter Mixture of Experts (MoE) reasoning model open-sourced by DeepSeek in January 2025, activating only 37B parameters during inference. It is the first 100B+ parameter model trained purely via reinforcement learning without supervised fine-tuning, enabling the natural emergence of Chain-of-Thought (CoT). By incorporating cold-start data prior to RL, the model resolves the repetition and language mixing issues of R1-Zero, achieving performance on par with OpenAI o1 across math, coding, and reasoning tasks.
Inference Service Provider
The inference service provider for vanchin/deepseek-r1 is Kuaishou Vanchin.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text | Output Modality | Text |
Model Experience | Unsupported | Function Calling | Supported |
Structured Outputs | Unsupported | Web Search | Unsupported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 98304 | Max Output Length | 32768 |
Context Window | 131072 | Max Input Length (Thinking Mode) | 98304 |
Max Output Length (Thinking Mode) | 32768 |
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 | 4 | Per 1M tokens |
Output | 16 | Per 1M tokens |
Input(Implicit Cache) | 1.6 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 500 |
TPM (Tokens Per Minute) | 1,000,000 |