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That is not the "only" thing: You get access to GPT-5.4 pro.
by jstummbillig 7mo ago
That is not the "only" thing: You get access to GPT-5.4 pro.
- giwook 7mo agoJust to clarify, one does not get access to the pro model on the Pro plan?
- carbocation 7mo agoThe $20 Plus plan still exists, and does not give access to the pro model. 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.
- irishcoffee 7mo agoSo, reading the tea leaves, they're either losing subscribers for the $200 plan, or they're not following the same hockey stick path of growth they thought they were... maybe? Edit: I wonder if this is actually compute-bound as the impetus
- alyxya 7mo agoPlenty of people wanted to spend more than $20 but less than $200 for a plan. It's long overdue IMO.
- tedsanders 7mo agoNope, it's just that a lot of people (especially those using Codex) asked us for a medium-sized $100 plan. $20 felt too restrictive and $200 felt like a big jump. 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.)
- irishcoffee 7mo agoThanks for the response. I tried to phrase my postulations as just that, I didn’t intend to be an accusatory. You like the job? How’s the day-to-day go? Yanking tickets or more organic?
- tedsanders 7mo agoAll good, I interpreted it as postulation and not accusation. :) I do like the job! Much more organic than yanking tickets, though I'm on the model training side of things, rather than product side. Always a balance between short-term sprints patching bad behaviors for the next model vs long-term investments in infra and science that make future work easier. Sometimes the negative press gets to me a bit (it's a very different feeling than 2022 or 2023), but my goal is just to make the most useful product I can for people. It's been wild how much Codex has already changed my day-to-day work, I'm so curious to see what it looks like in 2030 or 2040.
- irishcoffee 7mo agoWhat kind of bad behaviors? How is the whole SDLC lifecycle there? I imagine, given that this tech is kind of redefining how software is being written, it's not your standard workflow pipeline? Are there code reviews at all? Have you been in any particularly interesting meetings about how you're trying to "shape" the models? I won't misrepresent myself, I've never spent a penny on any of these services. I am just super curious what it's like to work at one of these frontrunner companies. I bet it's pretty neat.
- aryehof 7mo agoDid you modify the Plus plans usage recently or as part of this introduction? Given that Pro plans usage are multiples of it (5x/20x) and given reports of less Plus usage, clarification would be appreciated? Transparency on this sort of thing is the best way to address negative company sentiment.
- tedsanders 7mo ago
- dimmke 7mo agoThis is still worse than Anthropic's right? Because you get access to their top model even at the $20 price point
- Tiberium 7mo agoIt's not worse, Anthropic simply has no equivalent model (if you don't consider Mythos) of GPT 5.4 Pro. Google does though: Gemini 3.1 Deep Think. 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.
- giwook 7mo agoI'm genuinely asking, when you say Gemini 3.1 DT is an equivalent model of GPT 5.4 Pro, is there a specific benchmark/comparison you're referring to or is this more anecdotal? 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.
- simianwords 7mo agoPro and DT model are equivalents because - 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
- deleted 7mo ago[deleted]
- patates 7mo agoPlus plan doesn't get the pro model, which is (AFAICT) the same 5.4 model but thinks like a lot.
- jgalt212 7mo agoYou're trying to make words mean what we all think they mean. Stop foisting your Textualism upon us!
- taoh 7mo agoDoes GPT-5.4 pro give a much better result in some circumstances? What're their typical uses in your experience?
- dyauspitr 7mo agoIf you want it to deeply research something pro is great. I had a problem I just couldn’t find with my oven so I gave it a lot of information and it went off on its own for about 2 hours and then gave me what I needed to fix the problem (fan was turning off too quickly which was causing the panel to overheat). I have no idea how it figured it out and I couldn’t find anything after hours of googling so it was very impressive. I even went and googled for it once I knew what the problem was and I still couldn’t find the solution that it came up with.
- taoh 7mo agoThanks for sharing this experience. Does it cost a lot of token in the deep analysis - which will make the $100 plan much quicker to drain all budgets.
- dyauspitr 7mo agoI think it’s going to be very hard to blow through your tokens just using chat. I mostly bought the plan so I could use Codex and on the $200 a month plan I’ve basically been using it 15 hours a day almost nonstop and I don’t run out of tokens for the week.
- J_Shelby_J 7mo agoWill they fix the pro model so it actually finishes the last step instead of hanging for 10-20m doing nothing? It’s only use case now is when you can walk away for an hour.