EarlyEval cuts agent evaluation steps

EarlyEval eliminates 13% to 26% of agent steps, up to 44.1% of input tokens, and 29.4% of output tokens across SWE-bench Verified, TerminalBench, and Toolathlon while predicting outcomes with 89% to 97% accuracy, according to the EarlyEval paper. The early-stop framework shifted per-agent resolve rates by only one to two percentage points on average. Teams can pair that cheaper execution layer with benchmark audits that remove redundant evaluation questions, but should measure false early stops before booking token savings as quality.