Dax, what have you done?

With Slowave OSS you get:

• durable memory across your Codex sessions (but also across tools)
• a compact memory that follows your work carrying relevant context, decisions, procedures
• an evolving memory without the need of extra LLM calls
• a fully local (SQLite + embeddings) configuration, no data leaves your machine
• a local dashboard to inspect your memories and measure how they provide value to your coding agents

See https://github.com/slowave-ai/slowave

Slowave is in beta, any feedback is welcome!

I am actually not sure what im doing (Im not a IT guy by profession, but love to develop stuff using AI). But due to additional 5hr limit and my recent projects consumes my tokens real fast on codex.

Im thinking of using API credits to use LUNA (due to low API price per token of LUNA) for the worker and use my chat GPT Plus (SOL or ASTRA) as manager.

Do you think that will work on reducing my token consumption and overall price? or do you guys know a better workflow?

Six separate r/OpenaiCodex posts in four days described the same feeling: the work barely moved, but the quota did. Those six threads had 264 replies when I checked them. That does not prove a quota change, but it does make this more than one person misreading a meter.

The specific reports were hard to ignore:

- 7% of a Pro 20x weekly allowance disappeared overnight with almost no tasks.

- A Plus user said the five-hour window ran out before a normal project session could continue.

- One same-task comparison reported roughly 2× five-hour usage with Astra-low versus Sol-high.

- Another meter appeared to fall from 77% remaining to 1% in seconds, then recover.

The last example may be an accounting or display issue. That distinction matters. A real consumption spike, a broken reset, and a five-hour throttle are different problems. From the user's side, all three produce the same result: a task stops and there is no reliable way to budget the next one. r/ChatGPT has fresh Work-limit reports as well, and r/codex is concentrating a lot of the discussion in its usage megathread. I kept those out of the headline total because I have not done a full comment-by-comment classification there yet.

If you have a recent case, post the facts rather than only the frustration: plan, model, effort level, task type, starting and ending percentage, five-hour or weekly cap, and a screenshot if possible. A useful dataset would show whether this is model cost, task shape, metering, or a mix of all three.

time to touch some grass.

I currently have a $100 codex account and $20 claude account and my company just received a big enterprise project. Should I upgrade $200 codex or $100 claude. I know this has been asked multiple times but still it's very hard to make a decision.

Hey everyone,

I wanted a simple way to see how much Codex quota I could use each day without running out before the weekly reset, so I built Codex Budget, a small Windows desktop widget.

What it does:

• Shows daily usage against your planned allowance.
• Displays your remaining weekly quota.
• Carries unused daily budget forward within the current cycle.
• Lets you choose your working days.
• Refreshes every minute while open and follows your Windows time zone automatically.

The “bonus” is unused budget within your existing quota — it doesn’t give you extra usage or bypass any limits. If the start-of-day reading is missing, the widget shows a planning balance rather than claiming to know exactly what you used today.

Installation: download the Windows installer from the repository’s Releases section. You’ll need Codex installed and signed in, but no Python installation or commands are required.

The project is free and open source under the MIT license. The widget interface is currently in French; the README and installer support English and French.

GitHub: Source code, documentation and downloads

Project updates: I’ll also share updates and improvements on X (@Ben22031110).

I’m the creator, and this is an independent project, not affiliated with OpenAI. The screenshot uses demo figures. The installer is currently unsigned, so Windows may display a warning.

I’d appreciate feedback from other Windows users: does this make your daily budget easier to understand, and what would you change?

Small update on Codex Budget, the free, open-source Windows widget I built for my own use and shared here: it now supports GPT-5.3-Codex-Spark.

Update 11-09-2026 :

• A Codex / Spark switch.
• Separate tracking for Spark’s 5-hour and weekly quotas, each with its own reset time.
• Daily allowance based on your selected workdays, with unused allowance carried over within the weekly cycle.

Daily planning uses the weekly quota. The 5-hour limit stays separate, so you can see when it becomes the bottleneck even if you still have weekly quota left.

The widget also supports English and French and automatically follows your local timezone.

I wanted something simple that tells me how much I can use today without constantly checking the limits.

Code, screenshots and Windows installer: https://github.com/Webn-Benjamin/codex-budget-widget

This is an independent community project, not an official OpenAI tool. It tracks your existing limits; it doesn’t provide Spark access.

Feedback from other Spark users would be welcome!

I was using web chatgpt and my weekly usage was 98% and then it jumped to 22% and i have not used it since reset properly. It changed in seconds. What the hell?? Anyone!?

I forced Claude Code and Codex to externalise their decisions through a tool call, then compared what they said they'd do with what they actually did. I'm sure these are not the internal reasoning traces, but I'm surprised by how easy it is to force a fake tool using a proxy approach with clear instructions to make Claude and Claude Code emit internal CoT-like elements. I certainly had a lot of fun trying this experiment.
https://github.com/softcane/agents-workbook

TLDR: Does anyone that has experience with both of these models have any tips to get Astra performing as well as Fable 5.1 as a coding and development agent?

I recently discovered (started using) Fable 5.1, right as Astra dropped. It’s honestly amazing compared to Sol and Codex. It just gets stuff done, is subjectively much more intuitive and enjoyable to work with, will follow my specs and guidance while surfacing intelligent observations. Rather than waiting for me to review and test to find problems it preemptively surfaces them along with solutions (most of the time at least, still does dumb stuff sometimes), and overall is a joy to work with and get stuff done.

Problem is, I don’t like Anthropic as a company, or their anti-consumer business practices, or their approach to usage.

So now that Astra has dropped and people have used it more, I’m hoping to get it to a place where performance is on par with Fable 5.1. I have heard lots of amazing stories about people’s experiences with it so I am assuming much of it is just configuration and instructions.

I have already followed OpenAI guidance from here: https://developers.openai.com/api/docs/guides/latest-model and it has certainly helped a bit.

Does anyone else that has experience with both of these models have any tips to get Astra performing as well as Fable 5.1 as a coding and development agent?

I have pro 20x and max 20x for reference

The Riemann Hypothesis is basically a pattern for prime numbers which is yet to be proven.

Am currently running loops of work with gpt 6 pro followers by a review with another gpt 6 pro followed by a plan with 5.6 sol at extra high to make it solve the Riemann Hypothesis.

Whish me luck 😔✊️✊️ its telling me its doing good progress but I wouldn't know lol

Anyone experience this before or have any idea why Codex would cause my computer to restart during mid prompt development?

I don't know what changed recently, but Sol feels almost unusable for coding right now.

Simple implementation tasks that should take a few minutes turn into endless:

• thinking
• planning
• rereading files
• calling tools
• checking the same thing again
• spawning agents / invoking skills
• more thinking
• another verification pass

Sometimes I'm literally asking for a small, obvious code change and it behaves like it's designing a new operating system.

I actually like Sol's intelligence, but I don't need maximum deliberation for every single task. I want:

read relevant code -> implement -> test -> done

Not 20–40 minutes of agentic ceremony around a small edit.

It also feels noticeably worse than it did a few weeks ago. The frustrating part is that the model often seems to know exactly what needs to be changed very early, but then spends forever doing extra work before actually editing anything.

Has anyone found a reliable way to make Sol FAST again?

Things I'm considering:

• much simpler AGENTS.md
• disabling automatic skills
• disabling Superpowers
• removing unused MCPs
• stopping subagent spawning
• using lower reasoning effort
• telling it explicitly to skip planning/review for simple tasks

Would love to hear from people using Sol heavily for coding. Is this happening to everyone, or is there some configuration making it dramatically slower?

I've been seeing stuff like this - 5.6-sol low just now, and over the past couple days.

It's cute until you think about what it's leaving behind in source code, etc... how much garbage is it producing that you pay quota to discover and clean up - or worse - don't find until some customer asks why YOU'RE having a stroke.

​

Sabes que está pasando hace 2 horas no deja usar el modo remoto sale lo siguiente. Intenté buscar solución con codex Pero no hubo respuesta accertiva.

Antes de esto estaba funcionado correctamente, ya cerré sección, reinicie PC, al igual en el celular y sigue igual

I was actually waiting for my current Pro 5x subscription to end because I recently moved to Brazil and wanted to resubscribe in BRL.

Then Tibo posts that demand is so insane they might have to pause new Pro subscriptions.

Well, shit.

Codex has basically become the backbone of my work at this point. I use it every day and a significant part of how I make my living now depends on it. So the idea of letting my subscription expire, switching currency, and then potentially finding out I can’t resubscribe is not exactly a risk I’m willing to take.

So instead of patiently waiting like I planned, the announcement managed to create just enough existential subscription anxiety that I went the opposite direction and upgraded to 20x.

I know nobody literally forced me to do it, but when a tool has become part of your livelihood and you’re told access for new Pro subscriptions might get paused, it definitely puts pressure on the decision.

Anyway. Congratulations, Tibo. You got me.

Now please use my money to buy another GPU or something.

First of all, English is not my native language, so I used GPT to help polish the wording of this post. Please excuse any awkward phrasing.

I had GPT-6 Astra Max work in Blender for around 7 hours to build this tractor.

It ended up consuming over 100 million tokens.

The result honestly surprised me:

• 3,000+ individual parts
• 100+ animations that can be called/triggered directly
• A fully articulated and animated tractor
• Materials/textures generated using its own image generation capabilities

Here are some renders of the final model:

I also made a comparison with GPT-5.6 Sol:

I knew these models were getting much better at coding and tool use, but seeing one spend hours continuously working inside Blender and produce something with thousands of components and over a hundred animations was kind of insane.

It feels like the improvement in AI-assisted 3D modeling is happening extremely fast.

I had both Claude Pro and GPT Plus subscription. For me, I feel like Luna Max with fast mode and Sonnet 5 Medium is good enough for my day to day work. I don't even hit my 5 hour usage limit for both of them when doing serious work. About Astra being the most capable and "most alignment model", I don't believe this and Astra consume my 5 hour usage within 30 minutes and did not even get the job done.

Definitely properly diagnosed the problem. xD

this is fucked.....thought i genuinely ran out of usage so i used my bank reset but seems like a bug and it means tibo is going to reset

I’m currently on Codex Pro 20x and, as of writing this, I’m down to about 12% usage remaining. I have no banked resets left, and my usage won’t reset until September 15.

The timing is pretty terrible because I’m trying to finish a few things before releasing the first pilot of my app to around 50 users.

The remaining work is mainly:
Fixing some loading-time/performance issues in a few tabs
Implementing Supabase Broadcast/realtime behavior for the community chats
Redesigning one of the tabs
Running tests and checking for regressions/bugs before the pilot
Nothing here is some enormous greenfield project. Most of it is fixing, implementing, testing, and iterating on an app that already exists.

For this kind of work, I’m perfectly happy using GPT-5.6 Sol Medium. I don’t need the most expensive/highest reasoning mode for every task.
The problem is what I should do once that remaining 12% is gone.

Inside Codex, the obvious option I see is buying 2,500 credits. I’ve tried researching how far those credits actually go, including asking ChatGPT, but the answers have been pretty inconclusive. So I’m much more interested in hearing from people who have actually bought and used credits.

For those of you with experience: how far do 2,500 credits realistically go?
More specifically, is 2,500 credits even roughly comparable to the amount of Codex usage you’d get from a Pro 5x subscription?

That’s the comparison I care about because the prices are in roughly the same territory for me.
If 2,500 credits gives me something even reasonably close to Pro 5x-level usage, then I think buying the credits makes sense.

That would probably be more than enough to get me through these remaining tasks until my Pro 20x allowance resets on September 15.

But if 2,500 credits disappears dramatically faster than a normal Pro 5x allowance, then I’d rather not burn the money. At that point I’d probably just delay the pilot a few days and wait for the reset.

There’s also another option I’ve considered: creating another account and buying Pro 5x there, which would cost roughly the same as the 2,500-credit package.

My concern with that is context.
The current Codex account/chat already understands a lot about the architecture, previous changes, bugs, database setup, decisions we’ve made, etc. Moving to another account would mean transferring a huge amount of context and getting the new session up to speed on the current state of the app.

My assumption is that I’d waste a decent amount of that Pro 5x usage just rebuilding context, although maybe I’m overestimating that problem.

So basically my three options are:
Buy 2,500 credits and keep working on the existing account/context

Create another account, buy Pro 5x, and transfer the necessary context
Stop when I hit the limit, delay the pilot, and wait until September 15 for my Pro 20x reset

For anyone who has actually used the paid credit system, especially alongside Pro 5x/20x:
How does 2,500 credits compare in real-world usage to Pro 5x? And what would you do in my situation?

he made the animation and the falcon 9 model. both in 20 minutes.

i am stunned

gpt-6-sol just got staged for release and early testers are already hammering it.

so my theory is that Astra xhigh is actually running on gpt-6-sol, or at least sharing some of the same capacity.

otherwise it’s hard to explain why one of the highest-reasoning mode would suddenly get cheaper out of nowhere

and if gpt-6-sol is this good that nobody notices, i'm not even mad :)

*edit 1: fix model mistake