Multi Model Orchestration With Frontier Reasoning Models

via “frontier model capability benchmarking”

23 hardest BIG-Bench tasks where models initially failed.

Unique: Explicitly designed for frontier model evaluation by selecting tasks where initial models underperformed humans, creating a benchmark that remains challenging as models improve. This selection strategy ensures the benchmark is useful for measuring frontier model progress rather than becoming trivial.

vs others: More suitable for frontier model evaluation than general benchmarks because it focuses on hard reasoning tasks; more challenging than benchmarks where models already exceed human performance, which may not drive model improvement.