New Agentic Benchmark Out: Claude Fable and GLM 5.2 Top Their Cohorts

The article announces the release of the new Agentic Benchmark by Artificial Analysis, which evaluates the ability of language models to plan and execute tasks effectively. Notably, Claude Fable and GLM 5.2 achieved top scores on this benchmark, which is significant because it is a fresh evaluation metric that avoids the pitfalls of "benchmaxxing" seen in saturated benchmarks. This development is crucial for practitioners as it provides a more reliable measure of model performance in practical applications.