Cost Transparency
Cost transparency is an AI interface design pattern that displays the cost associated with AI operations, helping users understand the financial impact of their AI usage and make informed decisions about feature usage. This UX pattern shows costs in real-time or before operations are executed, typically displaying token costs, API call expenses, or subscription credit consumption. Costs might be shown as dollar amounts, credit values, or relative indicators. This pattern is essential for applications with usage-based pricing or credit systems where users need to manage their spending. It provides financial transparency that helps users optimize their usage, understand pricing, and avoid unexpected charges. Cost information can be displayed inline with operations, in summaries, or in dedicated usage dashboards.
Use Case
Ideal for applications with usage-based pricing, credit systems, and platforms where cost awareness helps users manage spending and optimize usage.
Examples in Wild
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Pattern Description:Related Patterns
Token Usage Indicator
API quota display
Processing Time Estimates
Expected wait times
Rate Limit Warnings
API limit alerts
Caching Indicators
Show when cached results are used
Model Selection UI
Let users choose AI model (speed vs quality)
Batch Processing Queue
Queue multiple requests for efficiency
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