The OLMo-Eval workbench provides a standardized framework for testing large language models throughout the development cycle. It integrates diverse benchmarks to identify specific model weaknesses before full deployment. This tool simplifies the iterative loop for researchers. Developers can now pinpoint failure modes faster, reducing the time spent on blind retraining and manual prompt tuning.