Prompt-Induced Waste in Large Reasoning Models: A Preregistered Two-Harness Benchmark of Coding Agents

Factual evidence

What the source reports

A preregistered benchmark of six reasoning models reveals that prompt wording significantly drives token waste and cost in agentic coding tasks.