Performance

Model Selection UI

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Model selection UI is an AI interface design pattern that provides an interface for users to choose which AI model to use for their tasks, with options balancing speed, quality, cost, and capabilities. This UX pattern displays model options with descriptions of their characteristics, like "Fast but less accurate" or "High quality but slower", and allows users to select the best model for their current needs. The interface may show model comparisons, cost differences, and use case recommendations. Users can switch models easily and see how different models perform. This pattern is essential for applications offering multiple AI models where users benefit from choosing the right model for each task.

Use Case

Perfect for AI platforms, developer tools, and applications where letting users choose models improves performance, cost efficiency, and user satisfaction.

Examples in Wild

OpenAI PlaygroundAnthropic ConsoleHugging FaceAI API platforms

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Pattern Description:
Interactive Demo
Restart demo
Select AI Model
Fast Model
Quick responses, good for simple tasks
Speed: 9/10
Quality: 6/10
$0.01/1k tokens
Balanced Model
Best balance of speed and quality
Speed: 7/10
Quality: 8/10
$0.05/1k tokens
Quality Model
Highest quality, slower responses
Speed: 4/10
Quality: 10/10
$0.15/1k tokens

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