Physix FrontierPhysix Frontier · News Briefing Card (TMTPost · Sep 14, 2026)
DeepSeek V4.1 Flash Rebuilds Architecture, DSH Becomes Product Entry
KEY FACTS
- V4.1 Flash adopts an asymmetric CED structure, reducing KV Cache to 890 bytes/token.
- Model training is fed by data from Agent frameworks like DSH, optimizing for input-intensive workloads.
- DSH has updated to v0.1.5, adding 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-geek outfit to a platform company. By restructuring its underlying architecture to accommodate long-context Agent characteristics and refining product experience via DSH, it aims to build a 'model + tools' 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 fight for ecosystem stickiness and real-world deployment scenarios.
Source: TMTPost report