DeepSeek V3.2

DeepSeek's V3.1 update, built around a new sparse attention mechanism

Free Reasoning
Visit Product Page →
163840 context tokens
685B (MoE) parameters
MIT license
Dec 2025 released

DeepSeek V3.2 is DeepSeek’s update to V3.1, publicly detailed on December 1, 2025 after an experimental preview in September. It introduces DeepSeek Sparse Attention, a fine-grained sparse attention mechanism that cuts training and inference cost while preserving quality on long-context tasks, and the flagship Speciale variant carries roughly 685 billion parameters in a mixture-of-experts layout. The context window sits at 163,840 tokens with up to 64,000 tokens of output, and DeepSeek reports gold-medal-level results on 2025 International Mathematical Olympiad and International Olympiad in Informatics problem sets. API pricing runs around $0.21 per million input tokens and $0.32 per million output tokens, roughly half of what V3.1-Terminus cost, particularly for long-context decoding. Like the rest of the DeepSeek lineup it ships under the MIT license with weights on Hugging Face, and it served as the base DeepSeek built V4-Pro on the following spring.