It’s only use case now is when you can walk away for an hour.
The $200 Pro plan still exists, and does give access to the pro model.
What is new is a $100 Pro plan that does give access to the pro model, with lower usage limits than the $200 Pro plan.
GPT 5.4 Pro is extremely slow but thorough, so it's not meant for the usual agentic work, rather for research or solving hard bugs/math problems when you provide it all the context.
And do you mean to say that you don't really use GPT 5.4 Pro unless it's for a hard bug? Curious which models you use for system design/architecture/planning vs execution of a plan/design.
TIA! I'm still trying to figure out an optimal system for leveraging all of the LLMs available to us as I've just been throwing 100% of my work at Claude Code in recent months but would like to branch out.
- internally same architecture of best of N
- not available in the code harness like Codex, only in the UI (gpt has API)
- GPT-5.4 pro is extremely expensive: $30.00 input vs $180.00 output
- both DT and Pro are really good at solving math problems
Edit: I wonder if this is actually compute-bound as the impetus
Pricing strategy is always a bit of an art, without a perfect optimum for everyone:
- pay-per-token makes every query feel stressful
- a single plan overcharges light users and annoyingly blocks heavy users
- a zillion plans are confusing / annoying to navigate and change
This change mostly just adds a medium-sized plan for people doing medium-sized amounts of work. People were asking for this, and we're happy to deliver.
(I work at OpenAI.)
You like the job? How’s the day-to-day go? Yanking tickets or more organic?
On the other hand, the benchmark of Plus usage seems to be to be all over the place, so it’s difficult to say now how does the usage compare to the old Pro.