Physix Frontier · News Briefing Card (enbrief · Sep 15, 2026)
DeepSeek V4.1 Flash Refactors Architecture; DSH Becomes Product Gateway
KEY FACTS
- V4.1 Flash employs an asymmetric CED structure, reducing KV Cache to 890 bytes/token.
- Model training is refined by data from Agent frameworks like DSH, optimizing for input-intensive workloads.
- DSH has updated to v0.1.5, introducing file delivery and dynamic system prompt modification features.
- DeepSeek's strategic focus has shifted from pure model performance to capturing the Agent application entry point.
KEY DATA
890 bytes/tokenGlobal KV Cache Size
8BPrefill Active Parameters
16BDecode Active Parameters
PHYSIX OBSERVATION
DeepSeek is transitioning from a tech-centric entity to a platform company. By restructuring its underlying architecture to accommodate long-context Agent characteristics and enhancing product experience through DSH, it aims to build a closed 'model + tool' loop to lock in user entry points. This 'build the road before the car' strategy signals that LLM competition has moved beyond mere parameter scale battles to a contest over ecosystem stickiness and real-world deployment scenarios.
Source: enbrief original report ↗
Physix Frontier