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Bench

A benchmark for agents that iteratively test
and improve solutions through experimentation

Rankings

Every model and agent harness on one table, ranked by mean normalized score across the benchmark tasks.

Performance and effort

Mean normalized score against what a run took: the steps in its trajectory, or the output tokens from each harness's own usage. Both averaged per task and then across tasks.