【Purpose/significance】 In the era of digital economy, the value attribute of information is an important content of intellec⁃

tual property protection. How to price information and how to price it reasonably becomes more and more prominent with the advent of the era of big data, which has become a blocking point on the development road of financial media industry.【

Method/process】 Based on the research results of domestic and foreign scholars, the pricing models of each node media information were analyzed, from the tra⁃ditional static pricing method of cost, income and market, to the derived AHP method, customer perceived value method, information quality pricing method, and then to the dynamic multi-context protocol pricing method, to analyze the advantages and disadvantages of various pricing models. At the same time, by analyzing the basis of financial media information pricing in the era of big data, a more reasonable financial media information pricing model is designed.【Result/conclusion 】 This paper analyzes the development of media information pricing method from the perspective of model evolution, proposes the financial media information pricing model and ben⁃efit distribution mechanism in the era of big data, and puts forward an effective reference scheme for financial media information pric⁃ing.【Innovation/limitation】 integrates the evolution process of financial media information pricing, analyzes the deficiencies and needs at each stage, and reveals the problems that need to be considered in pricing in the era of big data, but the specific methods need to be further studied.