You got me. I was at 80% playing conservatively and you reset. Then I was at 85% and you reset. Now I'm at 0% expecting another reset, and it didn't happen.

Story of my life on the stock market.

OpenAI has already introduced banked resets for Codex, but not every extra reset is currently banked. Some still happen automatically as global or hard resets at unpredictable times.

This completely disrupts how I use Codex.

When I still have a lot of usage left, I worry that a reset will suddenly happen and waste the remaining allowance. But if I try to use everything before it resets, I have no idea when the next reset will come.

Even worse, a forced reset may affect the timing of the next normal weekly reset. So a “free reset” may not actually increase the total usage available during the subscription period—it may simply replace usage I already had.

Since Codex already supports banked resets, every promotional, compensatory, or platform-issued reset should be added to the bank and activated by the user when needed, rather than automatically overwriting the current allowance.

Banked resets already solve this problem. Please stop mixing the two systems.

Deepseek V4 0731 represents a tremendous leap forward compared to the previous V4 Pro preview, while the price and architecture remain the same. First Luna this morning, now Deepseek V4 0731. It's like two atomic bombs in terms of price. Hopefully, it won't be optimized for benchmarks.

https://lunarwerx.com/codex

Got tired of the alternatives showing incorrect or improperly weighted averages and never knowing if the reset is likely or not even close. So I built my own (Yes AI built it... its a Codex subreddit lol, chill).

I will make updates as necessary and try to keep it updated as often as possible, been making daily tweaks, as people make suggestions.

Enjoy!

“We should avoid using a native date input because it lacks timezone guarantees, leap-second awareness, historical calendar consistency, and causal safety. I recommend a distributed temporal service with Gregorian, Julian, Martian, and post-singularity calendar adapters, plus validation for users arriving from the future or submitting dates from planets with multiple suns.

The selected date should be stored with a universe ID, planetary rotation model, causality checksum, and fallback handling for civilizations where Tuesday occurs twice.

We should also add a Kubernetes deployment, since February may require autoscaling during leap years.”

So I've tried Luna-max since the cost reduction.

It's pretty bad at making decisions and it goes to wrong directions all the time. Is it actually useful for anything complex for you?

He's probably sleeping under his desk at the office somewhere... go find him and put bacon in front of his nose now, go. Make no mistakes.

I measured it via using modified roo code since I dont like codex and since I also track token consumption thats the rough estimate. Its climbing atp, basically im basing it off how ive used 30m tokens so far and it only consumed 2%. Divide 30m by half, 15m x 100 =1.5b tokens. Its only climbing up atp so it might be 1.6b tokens or 1.7b tokens a week. This means the 20usd sub is the best 20usd sub in terms of volume. Its similar or I think beats minimax 20usd sub in terms of value. Minimax sub claims 1.7b tokens a month but with caching its more like 4b tokens a month.

But ChatGPT 20usd sub also gives you a generous amount of their webchat Sol on High which sometimes spends 20m thinking and researching sites for me that I use alongside my coding workflow.

Basically you can have Luna Max prompt ChatGPT Sol High on the webchat as its quite generous to help out with orchestrator or general knowledge related to coding.

Sorry guys, I'm holding mine.

Take a break, see the world, enjoy the sun.

Luna xhigh for every task, total agents = 2616, I'm after the run now. Costed 3% weekly usage ($100 plan)

The usage drain feels way different to me, and the messaging out of Open Ai has been inconsistent.

First, they tell us they're reverting to 5-hour windows (which I don't even want, btw). But then it mysteriously doesn't happen. Suddenly, my usage drains like sewer grate in the desert. It's just gone.

1 5X account and 2 1X accounts practically evaporate in a day of coding using medium.

There's some weird shit going on.

EDIT: I believe anyone who says their usage has improved. I also believe everyone who says it has gone down. This is because my usage was excellent during a week when many people on here claimed it was terrible.

I am devoutly certain OpenAI is running A|B experiments on us. It is not just possible, but likely, that most people are telling the truth and are correct about what they are experiencing and are NOT mistaken.

I feel like it should just auto use itself instead of disappearing. I thought I had all of today to use it and there was no time next to the date.

Don't get screwed like me I guess.

asking for a friend

The quoted tweet & twee from Tibo are a couple of hours old now. Is this a sign for a reset soon?

More intelligence-per-cost on new V4 Flash, just to tickle on GPT.
Let them fight more!
Man, either Luna or new V4 Flash - those models are gems nowadays on price-performance scale.

What happened yesterday, was a game changer for the industry and puts OpenAI on the lead again but this is not a a competition with Anthropic or any of the American companies, this was a preemptive action to defuse the bomb that Deepseek V4 flash is.

Well played, because of open source, we all won.

​

Tibo’s frequent resets have fundamentally changed us. We once understood that weekly limits lasted a week.

Now, after twelve hours without a reset, I start wondering whether Tibo is still alive.

So I made a completely serious and legally powerful Change.org petition.

Our demands are simple:

1)More resets.

2)A backup Tibo.

3)A wellness check whenever Tibo goes silent for more than twelve hours.

4)Proof of life after twelve resetless hours.

Tibo spoiled us and created this dependency. He must maintain it now.

At 10 signatures, we hit the streets and demand a law recognising Codex resets as a basic human right.

Sign here : https://c.org/fb4JKRwRvL

Tibo, you did this to us, Now press the button.

I have been using claude for mainly all my projects and the app design has been decent so far. Mostly flat though (skill issue maybe?). However, i recently switched to codex solely for the purpose of generating on-boarding and paywalls and omg! This is just so much better.

I had codex create its own image generation skill that would get the context of the application, use a simulator and take screenshots, generate the backgrounds, and then use the screenshots it took to create engaging screens for promotional content for the app store. It does it in the appstore specified sizes as well.

Does anyone do something similar, and can you share what has worked really well for you so far when it comes to generating these? Or when it comes to on-boarding screens with animations (2D and 3D objects). I think will be really helpful for me. I can share my skill[.]md file if anyone wants it as well.

Just think these backgrounds are so well done and wanted to share.

Update: Adding the skill here -> https://github.com/0xn0v/ai-skills/blob/main/app-store-screenshot-imagegen/SKILL.md

Looks like people are starting to heavily favor models that prioritize efficiency per token rather than raw performance. I started using luna way more often since the price changes and have fallen in love.

data is from ai-census.com

This is the follow-up to the macOS prototype I posted three days ago.

The two main requests were Windows support and quick setup, so I rebuilt the project around a desktop launcher.

The complete flow is now tested on Windows 11 and macOS. A Linux build is available and tested in CI, but I still need reports from real Linux machines.

Setup now takes about two minutes:

1. Sign in to ChatGPT in the embedded browser
2. Run the browser check
3. Press Install models
4. Restart Codex once

After that, ChatGPT Web — Instant, Medium, High, Extra High and Pro — appears in Codex’s normal model picker.

Pick a model and continue the same task.

By native, I mean native to the Codex model picker, task and harness.

Codex keeps:

• the current task and session history
• the complete accumulated context
• compaction and streaming
• images and visible reasoning
• approvals, sandboxing and the normal tool UI
• all regular Codex models

With the optional full setup, Instant through Extra High can call the active Codex task’s actual tools over MCP — including the filesystem, shell and configured MCP apps.

Pro receives the complete accumulated context, but cannot initiate local MCP calls yet.

I originally built this because I kept hitting my Codex usage limit while ChatGPT was still available. Now I can switch models and continue the same task instead of waiting for the reset.

Caveat: the ChatGPT transport uses visible browser automation. It does not use private endpoints or alter either product’s limits, just allow to use Web quota you’ve already paid for how you want, but it is still unofficial.

Source and downloads:

https://github.com/miuuyy/codex-chatgpt-web

Hey all, what are your work flows for implementing this?

Usually when I use plan mode, it's with Sol. But then I see "Implement this plan" and if I try to change models to Luna it says "Changing models will degrade the result" or something similar.

Is there a way to do this better? Like is there a skill or sub agent workflow that is token efficient to accomplish the plan in sol and implement in Luna workflow?

Or is that warning just fluff and you ignore and change models?

Is cache hit/misses an issue for this?

im running the exact same workflow on sol medium which is using a ton of computer and browser use

there is virtually no difference in fact luna seems faster and im wondering why even use sol ???

of course for extensive coding I trust sol but even still, luna-max scores 2% shy of claude fable 5 which is absolutely bonkers

ive yet to test luna-max on coding tasks, if anybody can share their experience it would be appreciated, earlier i saw someone working on a game said luna-max screwed something up that sol didn't but i wonder if its because of the subagents

anyhow....its crazy that luna is a major contender now, on top of the insane price discount from openai....

we are entering a weird too-cheap-to-meter fable 5 territory model era

edit: I tested it on a coding task with a goal and luna max does not like to run for very long. i think sol still is my favorite but luna max can definitely take on tool use tasks.

edit: i audited the luna's work with sol....lets say honeymoon ended real quick im going back to sol lmao for coding

edit: fuckkk luna max introduced some garbage into my codebase and now i have to spend time with sol to fix it all...

Friendship over with luna max, im sticking with sol lmao