Deepseek slashes memory needs for AI agents with V4.1-Flash model
deepseek releases new ai model v4.1-flash, cutting memory needs and compute for long text processing, targeting ai agents. this affects deployment costs and model performance.
deepseek has released its new ai model v4.1-flash, which sharply cuts the operating costs of processing long texts by shrinking the buffer needed. the model halves the compute needed for data input through a technical split that activates less compute for reading information. deepseek's model has 552 billion parameters and processes contexts of up to one million tokens. the company reduced the buffer in fast gpu memory to about a quarter of its predecessor's size. this affects deployment costs and model performance, particularly for ai agents.