Model selection determines the available intelligence, while effort level controls how intensively Claude works—such as how many files are read, tests executed, and steps processed.
The Model Profiler aggregates model metadata from seven data sources into a single web interface with filtering, comparison, and availability maps to accelerate model selection for CTOs.
