DeepSeek V3.2 Fast

DeepSeek-V3.2 Fast is a throughput-optimized inference deployment of DeepSeek-V3.2 that prioritizes latency and speed. It keeps the same 671-billion-parameter sparse MoE architecture with 37 billion active parameters per token and a 163K-token context. It targets latency-sensitive, real-time applications where fast responses matter more than squeezing out maximum capability. Teams can choose the standard V3.2 for peak quality or this Fast configuration when speed is the priority. Like the standard model, it retains V3.2's integrated reasoning and tool-use across both thinking and non-thinking modes, so faster serving does not give up the core agentic capabilities.