Credit-based Pricing
A common billing model for AI generation products that converts compute costs into quantifiable units, so users pay for actual consumption rather than unlimited monthly subscriptions. It is more favorable to low-frequency users but requires estimating usage in advance.
Core Facts
Timeline (last 90 days)
Domestic AI agent products commonly use "credits" rather than direct token-based billing, packaging model calls, tool execution, and sandbox runtime into a perceivable pricing unit.
Credit deduction must guarantee atomicity to prevent concurrent requests from driving the balance negative; this can be achieved with database atomic operations (UPDATE ... WHERE credits >= 1 and checking the number of affected rows), transactional row locks, or Redis atomic decrement commands.
Pay-per-use pricing and credit systems are the two mainstream business models for AI generation tools: pay-per-use puts the price up front and transparent and refunds on failure; credit systems are more flexible but unit prices fluctuate and easily produce a "credit consumption black box".
Credits are a platform-custom unit decoupled from actual model consumption; the same prompt may consume several times as many credits on different platforms, and platforms can adjust the conversion ratio at any time.
Tool invocation is the basic unit by which AI agents execute tasks, and billing is usually calculated by the number of tool invocations rather than the number of conversation turns.
The credit system is a common billing method for Agent products, usually calculated based on the model invocation volume and number of tool executions consumed by a task, and compared with monthly subscriptions it is closer to the actual computing cost.
The credit system is currently the most mainstream billing model for AI generation tools, and the core variables affecting credit consumption include output video duration, resolution, generation type, and whether advanced features are used.
The credit system is a common billing method for AI-generated products, converting computing power costs into quantifiable units, with users paying according to actual consumption; the key to judging whether a credit plan is cost-effective is whether the credit consumption per unit of output is stable.
The credit system converts the costs of different models into a unified virtual unit, hiding the underlying differences and making it convenient to give away credits in campaigns, distribute them through daily check-ins, or reward ad viewing; the advantage is that comparisons across models are simple, and the disadvantage is that the actual cost conversion is not transparent.
All Facts (9)
The credit system is a common billing method for AI-generated products, converting computing power costs into quantifiable units, with users paying according to actual consumption; the key to judging whether a credit plan is cost-effective is whether the credit consumption per unit of output is stable.
65%UnverifiedDomestic AI agent products commonly use "credits" rather than direct token-based billing, packaging model calls, tool execution, and sandbox runtime into a perceivable pricing unit.
50%UnverifiedCredit deduction must guarantee atomicity to prevent concurrent requests from driving the balance negative; this can be achieved with database atomic operations (UPDATE ... WHERE credits >= 1 and checking the number of affected rows), transactional row locks, or Redis atomic decrement commands.
50%UnverifiedPay-per-use pricing and credit systems are the two mainstream business models for AI generation tools: pay-per-use puts the price up front and transparent and refunds on failure; credit systems are more flexible but unit prices fluctuate and easily produce a "credit consumption black box".
50%UnverifiedCredits are a platform-custom unit decoupled from actual model consumption; the same prompt may consume several times as many credits on different platforms, and platforms can adjust the conversion ratio at any time.
50%UnverifiedTool invocation is the basic unit by which AI agents execute tasks, and billing is usually calculated by the number of tool invocations rather than the number of conversation turns.
50%UnverifiedThe credit system is a common billing method for Agent products, usually calculated based on the model invocation volume and number of tool executions consumed by a task, and compared with monthly subscriptions it is closer to the actual computing cost.
50%UnverifiedThe credit system is currently the most mainstream billing model for AI generation tools, and the core variables affecting credit consumption include output video duration, resolution, generation type, and whether advanced features are used.
50%UnverifiedThe credit system converts the costs of different models into a unified virtual unit, hiding the underlying differences and making it convenient to give away credits in campaigns, distribute them through daily check-ins, or reward ad viewing; the advantage is that comparisons across models are simple, and the disadvantage is that the actual cost conversion is not transparent.
50%