The new DeepSeek-V3 (DeepSeek-V3-0324) shares the same base model as the previous DeepSeek-V3-1226, with improvements focused solely on post-training methods. By incorporating reinforcement learning techniques used in training DeepSeek-R1, the new V3 model significantly enhances performance on reasoning tasks, outscoring GPT-4.5 on math and coding benchmarks. Additionally, the model demonstrates noticeable improvements in tool calling, role-playing, and conversational interactions.
Inference Service Provider
The inference service provider for siliconflow/deepseek-v3-0324 is SiliconFlow.
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 | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 163840 | Max Output Length | 163840 |
Context Window | 163840 |
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 | 2 | Per 1M tokens |
Output | 8 | Per 1M tokens |
Rate Limits
- China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 500 |
TPM (Tokens Per Minute) | 500,000 |