Revenue Sharing Model

Our team has put our thinking cap on the most effective reward policy of how to distribute revenue in the creator-user AI marketplace ecosystem.

What are tokens?

In natural language processing, text is often broken down into smaller units called tokens.A token is a collection of characters found in a set of text. Thus, tokenization is the process of converting the words in the prompt into tokens. Usually, one token generally corresponds to up to 4 characters of text for a common English text. The total number of tokens in a prompt and its corresponding completion affects the computational cost, influencing both processing time and pricing considerations.

Costs and Pricing

Token-based pricing is a common model used by LLM platforms.LLMs perform a significant amount of computation for each token, and this cost is reflected in the pricing structure.

Token type	Explanation
Prompt Tokens	Tokens that you input into the model
Completion Tokens	Tokens that the model generates in response to your input
Total Tokens	Prompt Tokens + Completion Tokens (Total tokens that the user has to pay for)

Users are charged based on the number of tokens processed, including both input tokens (in the prompt) and output tokens (in the completion). Therefore, longer prompts and more extensive completions generally result in higher costs.