PACE predicts expensive agentic LLM scores for under 1% of the compute
PACE builds a cheap proxy benchmark by picking a handful of atomic test instances that reliably predict performance on expensive agentic tasks like SWE-Bench. Across 14 models it predicts scores with less than 4% MAE and 85% ranking accuracy while using under 1% of the compute cost, letting developers assess agentic capability early.