Reddit deep dive says token compression can raise OpenAI API bills, not cut them
KitchenAmoeba4438 · reddit · 2026-07-22
- A Reddit deep dive argues that token compression tools do not automatically save money on OpenAI APIs.
- With GPT-5.6, cache writes cost 125% of normal input while cache reads cost 10%, so modifying an already cached prefix can become far more expensive than simply reusing it.
- The author says a change must remove more than 92% of the invalidated suffix to pay for itself on the next request.
- For RTK, the post argues its “tokens saved” metric is misleading because it cannot see actual API billing details, cache state, or cache breakpoints; one benchmark reportedly showed 96.2M tokens saved while the bill rose 7.6%.
- Headroom is described as more capable in theory because it proxies requests, but the current implementation still appears unable to account for GPT-5.6’s explicit breakpoint fields or write premium correctly.
- The conclusion: measure cost per successful task, not token counts, and only certain compression setups can actually save money.
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