DeepSeek V3.2
Cherry Studio users can now, via the built-in CherryIN service for free access DeepSeek V3.2— DeepSeek's flagship sparse-attention MoE model released on December 1, 2025, the first to natively integrate "thinking" into tool calling, making it an ideal choice for advanced agents and long-context scenarios.
What is DeepSeek V3.2?
DeepSeek V3.2 evolves from V3.2-Exp, uses the Mixture-of-Experts (MoE) architecture, and introduces DeepSeek Sparse Attention (DSA) sparse attention mechanism, significantly reducing long-context inference costs while maintaining an ultra-large total parameter scale.
Architecture: MoE + DeepSeek Sparse Attention (DSA) + Multi-Head Latent Attention (MLA)
Total parameters: 685B
Activated parameters per token: about 37B
Number of experts: 256 experts per layer
Open-source license: MIT
Release date: December 1, 2025 (V3.2-Exp released on September 29, 2025)
V3.2 also released an API-oriented DeepSeek-V3.2-Speciale version, achieving gold-medal-level performance in IMO, CMO, ICPC World Finals, and IOI 2025 on complex reasoning tasks.
Continues a solid training and alignment pipeline
DeepSeek V3.2 inherits the mature training pipeline of the V3 series and makes key extensions for agent scenarios:
Large-scale pretraining: foundational training completed on massive, high-quality multilingual corpora covering code, math, and scientific knowledge.
Introduction of sparse attention: trained the main model and lightning indexer at 128K sequence length, with each query token selecting 2048 key-value tokens for attention.
Large-scale agent data synthesis: a new agent training data synthesis method covering 1,800+ environments and 85,000+ complex instructions.
Integration of thinking and tool calling: V3.2 is DeepSeek's first model to natively integrate "thinking" into tool calling, supporting tool use in both "thinking mode" and "non-thinking mode".
Flagship core capabilities
DeepSeek V3.2 focuses on comprehensive capabilities "on par with GPT-5" and is significantly enhanced in agents and complex reasoning:
✅ Native thinking + tool calling: The first DeepSeek model to integrate thinking into tool use
✅ Top-tier reasoning ability: V3.2-Speciale reaches gold-medal level at IMO / CMO / ICPC World Finals / IOI 2025
✅ Code and development tasks: Inherits the strong coding capabilities of the V3 series
✅ Long-context stability: DSA brings document-length and codebase-level analysis capabilities
✅ Structured tool calling: Suitable for building multi-step planning and execution agents
DeepSeek Sparse Attention: longer, more efficient
DSA is the core technical upgrade of V3.2, through lightning indexer + fine-grained token selection achieves:
First to implement fine-grained sparse attention on a large model
Reduces the core attention complexity from O(L²) to
Significantly speeds up long-context training and inference while maintaining output quality nearly identical to dense attention
Short conversations / simple Q&A
Direct invocation
Daily Q&A, summarization
Medium-complexity tasks
Enable tool calling
Data analysis, code refactoring
Complex agent tasks
Thinking + tool calling
Multi-step planning, codebase analysis, long document review
Open, usable, ecosystem-friendly
⚡ Long-context inference acceleration brought by DSA
💰 Through CherryIN in Cherry Studio Free to use
🖥️ Open-source weights, MIT license, Day-0 support from mainstream inference frameworks such as vLLM and SGLang
Focus on practical capabilities: code and agents
DeepSeek V3.2 performs especially well in real-world development workflows:
Multilingual code generation and refactoring
Codebase-level context understanding and patch generation
Agent toolchain: stable calls to external tools, search, code execution
Math and complex reasoning: supports competition-level problems
How to use in Cherry Studio?
Open Cherry Studio and go to Settings → Model Services.
Find CherryIN service provider and enable it.
Select DeepSeek V3.2.
Return to the chat interface and switch to DeepSeek V3.2 to start chatting.
💡 Tip: The free model quota provided by CherryIN is covered by Cherry Studio official, suitable for daily testing and evaluation; for production environments, it is recommended to use it together with the official DeepSeek API.
📘 Experience DeepSeek V3.2 now and start your flagship reasoning and agent journey!
Get help and submit feedback
If you encounter any questions, bugs, or have suggestions for feature improvements during configuration or use, please refer to Feedback and Suggestions for the official channels provided.
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