Show HN: FrontierHarness Eval – 9 harness, same model, cost per pass varies 17x (frontierharness.org)

FrontierHarness v1.0 has been announced, showcasing significant variances in cost-per-pass across different harnesses while using the same model. In a recent evaluation, the cost to execute tasks ranged dramatically, with some harnesses costing up to $18.34 per task, revealing a staggering 17x difference based on failure rates, caching behavior, and task complexity. This tool emphasizes the importance of efficiency in AI/ML deployments, particularly as it pertains to software engineering and terminal-based tasks where high cost can hinder scalability. The evaluation, conducted on Runta's controlled environment, indicates that while cached tasks can save resources, they may still incur significant costs if they lead to failures. For developers seeking to optimize their own harnesses, the platform offers an enticing $100 credit to test their implementations. This announcement underscores a critical area for the AI/ML community: understanding cost implications in generative model tasks. The findings will encourage developers and researchers to refine their approaches to harness design, ultimately aiming for both quality and cost-effectiveness within AI workflows.