FrontierML FrontierML is an open-ended benchmark that gives AI agents $10, $50 or $200 budgets per task and measures whether they can spend that money on compute, synthetic data, experiments and public models to actually improve performance on 21 realistic end-to-end ML research tasks. Unlike static leaderboards it tests resource-allocation judgment, not just a single forward pass.