DeepSeek-V3.2 is a model combining high computational efficiency with outstanding reasoning and agent performance, built on three key breakthroughs: DeepSeek Sparse Attention (DSA), an efficient attention mechanism that significantly reduces computational complexity while preserving model performance and is specially optimized for long-context scenarios; a scalable reinforcement learning framework through which the model rivals GPT-5, with its high-compute version matching Gemini-3.0-Pro in reasoning; and a large-scale agent task synthesis pipeline that integrates reasoning into tool-use scenarios to improve instruction-following and generalization in complex interactive environments. The model achieved gold-medal performance at the 2025 International Mathematical Olympiad (IMO) and International Olympiad in Informatics (IOI).
Inference Service Provider
The inference service provider for siliconflow/deepseek-v3.2 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 | 65536 |
Context Window | 163840 | Max Input Length (Thinking Mode) | 163840 |
Max Output Length (Thinking Mode) | 65536 | Max Chain-of-Thought Length | 65536 |
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 | 3 | Per 1M tokens |
Rate Limits
- China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 500 |
TPM (Tokens Per Minute) | 500,000 |