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siliconflow/deepseek-v3.2

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

CapabilitySupportCapabilitySupport

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

ParameterValueParameterValue

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 ItemPrice (CNY)Unit

Input

2

Per 1M tokens

Output

3

Per 1M tokens

Rate Limits

  • China (Beijing)
ParameterValue

RPM (Requests Per Minute)

500

TPM (Tokens Per Minute)

500,000

Token Plan
Model Playground
Fine-tuning
Model Compression
Statistics and Monitoring