This paper addressed the features of dynamic-alphabet model for arithmetic coding and problems pertaining to model building. Both theory and experiments show that without loss of time performance, the dynamic-alphabet model provides more accurate prediction and consequently has better coding efficiency. Dynamic alphabet is a fresh but key concept to the building of statistical model of text compression for any natural language of large alphabet set, such as Chinese.