DeepSeek V3.2
DeepSeek
DeepSeek\'s latest high-efficiency model featuring Sparse Attention. Significantly reduces costs while maintaining powerful reasoning capabilities.
Getting Started with DeepSeek V3.2
Experience the pinnacle of open-source models, processing massive data and complex tasks at incredibly low costs.
Sparse Attention Architecture
Innovative DSA architecture activates only the most relevant tokens, significantly reducing computation and boosting speed.
Extreme Value
Cache hits cost only $0.028/1M Tokens, making large-scale AI applications affordable.
128K Context
Supports massive context windows, easily handling long document analysis and multi-turn conversations.
3x Inference Speed
300% faster inference compared to previous generation models, delivering sub-second responses for complex requests.
Why Choose DeepSeek V3.2
Powerful Performance
Excels in coding, math, and logical reasoning benchmarks, rivaling top closed-source models.
Developer Friendly
Fully compatible with OpenAI API format, supporting Function Calling and JSON output for seamless migration.
Open Source Spirit
Committed to open source and transparency, providing developers with trusted foundational model support.
How to Use DeepSeek V3.2
Login/Register Account
Get API Key
Check API Documentation to Integrate Model
Tech Specs
Context Window
128K tokens
Knowledge Cutoff
2025-07
Architecture
MoE + DSA
Max Output
8K tokens
DeepSeek V3.2 Pricing
per 1M tokens
* Prices are per 1M Tokens.
FAQ
DSA is an optimization technique that lets the model focus only on information relevant to the current task, improving efficiency without sacrificing quality.
V3.2 mainly delivers a breakthrough in cost-effectiveness, being cheaper and faster while maintaining the core reasoning capabilities of V3.
Yes, DeepSeek V3.2 supports chain-of-thought reasoning, making it especially suitable for complex math and coding problems.