Heavy OpenAI user does the math: subscription changes are equilibrium, not a rug pull
fluffy_serval · reddit · 2026-09-29
A power user argues OpenAI's subscription changes aren't a rug pull: the old $200/mo Pro plan delivered multiples of equivalent API value on increasingly better models — subsidized compute that was never permanent.
Key points:
- The token unit has become hopelessly opaque, baking in model choice, reasoning depth, caching, retries and agent behavior; forcing users into "token math" is bad product.
- He'd rather have an "automatic transmission for models": OpenAI routes planning and execution, eats the cost of bad choices, in exchange for a pricier but predictable Pro subscription.
- He runs the latest models on a 600,000+ line codebase, would pay even double the price, but wants the models' token-burning testing habit fixed immediately.
Verdict: it's market equilibrium and a needed end to token opaqueness — and OpenAI has goodwill to deliver on.
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