DeepSeek-V3.2 harmonizes high computational efficiency with superior reasoning and agent performance. Built on DeepSeek-V3, it incorporates key innovations like DeepSeek Sparse Attention (DSA), scalable reinforcement learning frameworks, and large-scale agent task synthesis pipelines, advancing the frontier of open-source LLMs.
Inference Service Provider
The inference service provider for vanchin/deepseek-v3.2-think is Kuaishou Vanchin.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality |
Text |
Output Modality |
Text |
Model Experience |
Function Calling |
||
Structured Outputs |
Web Search |
||
Prefix Completion |
Context Caching |
||
Batch Inference |
Fine-tuning |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length |
98304 |
Max Output Length |
65536 |
Context Window |
131072 |
Max Input Length (Thinking Mode) |
98304 |
Max Output Length (Thinking Mode) |
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 |
Input(Implicit Cache) |
0.2 |
Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
30 |
TPM (Tokens Per Minute) |
600,000 |