I tested RTK and Headroom, the two most-starred token-saving tools, on GPT-6 Astra: 5 coding tasks, 4 setups, 3 runs each, every run priced

A developer tested RTK and Headroom, two popular token-saving tools, on GPT-6 Astra across five coding tasks, four setups, and three runs each, with every run priced. RTK consistently outperformed a no-tool setup on a multi-file grep task. Headroom showed a clear win on a JSON task, reducing costs from $0.0066 to $0.0054. However, for other tasks, the model's own command choices influenced costs more than the tools, with some runs varying significantly.

This report uniquely provides raw output and pricing data for each run, allowing direct verification of the token-saving tools' performance on GPT-6 Astra, unlike other reviews.