A benchmark was developed to measure the cost per correct answer for AI agents, moving beyond the cost of a single model call. The benchmark includes 24 tasks across three difficulty levels, with deterministic checkers to evaluate accuracy. Initial results on Kaggle for five models show Gemini 2.5 Flash as the only model to successfully complete all five easy tasks, leading the leaderboard. The benchmark also explores routing strategies, revealing that while tiered routing can reduce costs, a minimum accuracy threshold is crucial to avoid errors. AI
IMPACT This benchmark could help developers optimize AI agent costs by focusing on accuracy per dollar, potentially leading to more efficient production agents.
RANK_REASON The item describes a new benchmark and initial results for evaluating AI agent cost-effectiveness, which falls under research.
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