DeepSeek V4.1 Flash

最小所需硬件

关于 DeepSeek V4.1 Flash

DeepSeek-V4.1-Flash 是一款多模态混合专家 (MoE) 模型，总参数量为 552B，在预填充阶段激活 8B 参数，在解码阶段激活 16B 参数。该模型采用了带有 SWA 边界重放 (SWA Bounded Replay) 的因果编解码器架构，能够在长达 100 万 token 的长上下文窗口中显著降低 KV 缓存的内存占用。

技术规格

资源

关于 DeepSeek V4

DeepSeek-V4 is DeepSeek's latest generation of highly efficient Mixture-of-Experts language models, featuring a novel hybrid attention architecture combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) that dramatically improves long-context efficiency. Pre-trained on 32T+ tokens with a comprehensive post-training pipeline including domain-specific expert cultivation and unified model consolidation. Both V4-Pro and V4-Flash support 1M context length as standard, with three reasoning effort modes (Non-think, Think High, Think Max). Released open-source under MIT license on April 24, 2026.

其他 DeepSeek V4 模型

• DeepSeek-V4-Flash
• DeepSeek-V4-Flash-Vision-Exp
• DeepSeek-V4-Pro
• DeepSeek V4 Pro (0813)