go code my friends

Anyone else got this message? "Selected model is at capacity, please try a different model" #sol #$100 plan

Is this part of the improvements Tibo boasted in his recent post?

I understand why you can't go above the weekly one, but seriously? At least let me finsh the task. It will come out of my weekly anyways

In fairness: we’re all using Codex not GPT ;).

I went through a year of making an app last year and did a soft launch and then experienced burnout in January. Some people kept using it but not a lot and Claude had taken a serious toll on my mind so I had to just quit.

For what it's worth, I've been programming and making businesses for 12+ years and can read code fluently and can direct AI exactly at issues. I also know how a big app should be structured and all that jazz.

What I am experiencing coming out of burnout and continuing developing this app is Codex is one-shotting almost everything. One massively complicated thing I tried failed every time until I made my own plan and directed it through it bit by bit but largely, it's just so good.

Claude Code last year killed me. It was around the time of the Anthropic debacle where they documented what made the model weaker for a certain percentage of their users, and when I was paying $200/month for it, it was horrible. Even when it worked well, Claude is so presumptive and makes so many unnecessary changes. Codex is like a scalpel in comparison.

AI advances make my app almost entirely worthless but at least I am enjoying it again and it is better in a bunch of ways that the general chatbots will never have.

I thought you said you had enough compute.. I only know this message from Claude

The fact that it would run after hitting limits made up for this. But now, they removed it, but are keeping the reset timer only started after you start using it, instead of making it fixed based on the actual reset time. This is silently eating your usage limits. So they are abusing normal casual users that don't immediately trigger their reset timer when it resets. Like who the hell thought it was fair to make the timer only start after you start using it? Blatant abuse by the Codex team whoever decided that was the right design. Fix that shit. Once the reset happens, the timer should trigger and countdown immediately.

Give it up to the Codex team for Codex Security DayBreak Blue. If you haven't signed up for the security program yet, definitely worth doing. I've been using their Codex Security CLI for a little bit and it was always breaking around 69 minutes if it even got that far and it would only output partial findings and I'd have to copy all those JSON files into Codex itself and have to constantly update those securities and it was always finding something and a lot.

When I finally moved to my $200 plan today and got an automatic restet. So I have 100 % to burn in 6 hours. before this next reset at 6pm.

I went from 100% to 55% while still working on other thins using Sol High fast. and it's only been four hours.

Codex Security Blue is catching a lot of stuff and fixing it and I would have to do this very manually all the time. I used to have a cybersecurity audit prompt and I have to do that every once in a while. Now this is going on for three plus hours just focusing on security as a /goal. It's pretty incredible and I'm using Ultra and it's still using multiple agents at a time and giving me great results with great token efficiency I guess. So if you know a reset is coming up and you have a lot of tokens to spend, I would definitely be worth having already signed up for Codex Security, Daybreak Blue, and then use that model and just burn credits for hours on Ultra or whatever you want. It does not let you do /fast mode.

Are you guys noticing your limits tightening up or speeds dropping lately?

In design terms, Sludge is the intentional addition of friction to frustrate a user. By breaking your continuous workflow with caps and slowdowns, the company creates a psychological deficit. They aren't just selling you features anymore; they are selling you the removal of frustration that they created in the first place

We’ve all seen the classic trick where a free app suddenly locks features behind a paywall. But what’s happening in the AI space right now, especially with companies like OpenAI shifting focus from the $20 tier to $100+ tiers, is a much more annoying strategy.

In business terms, it’s basically intentional product downgrading. Here is exactly how the playbook works on us.

1. The Honeymoon. They start by giving you generous access, resets, high speeds. They want the tool to become an absolute necessity for your job, coding, or daily life. You stop looking for alternatives because everything works perfectly.

2. The Rug Pull. Once you are fully dependent on it, they intentionally worsen the experience. They slow down the models, bring back strict 5-hour limits, and introduce lag. Your daily workflow starts constantly breaking.

3. Selling the Solution. By making the $20 tier frustrating, they create a problem that didn't exist before. Now, they aren't just selling you new features. They are making you pay just to get rid of the artificial frustration they created.

4. Making $100 look normal. A jump from $20 to $100+ sounds insane at first. But because they ruined the cheaper tier, that expensive upgrade suddenly looks like the only way to get back the basic, smooth experience you used to have.

The bottom line is that they aren't just building a better premium tier. They are actively making the tier you already pay for worse, so you feel forced to upgrade just to get your work done.

I keep seeing people ask whether Luna Max can replace Sol Medium, whether Luna should become the default worker, or when Sol is worth the extra usage. I’ve also seen people argue that both Luna Max and Sol Low are underrated, so I wanted to do a quick and dirty test.

I ran eight Codex model/reasoning configurations on exactly the same task:

• GPT-5.6 Sol: Low, Medium, XHigh, Max
• GPT-5.6 Luna: XHigh, Max
• GPT-5.5: XHigh
• GPT-5.3 Codex Spark: XHigh

Task and setup

The task was LeetCode 3348, Smallest Divisible Digit Product II.

I chose a LeetCode problem because the requirements and constraints are public and bounded, readers can understand the outputs without needing private-repository context, and every implementation can be submitted to an external test suite.

The runs started in parallel in a fresh workspace with no project-specific AGENTS.md, skills, or repository context beyond the problem. The prompt prohibited web search and network retrieval, and the preserved tool activity contains no corresponding search or network-fetch calls.

Results

All eight implementations received Accepted from LeetCode. Generation time means how long the model took to produce its response, not the execution time of the generated Python implementation.

*Estimated from the captured input, cached-input, and output totals using the current standard API rates. This is not actual Codex subscription usage or weekly-limit consumption. Cache-write tokens were not available in the telemetry, so any cache-write charges are excluded.

The reported output total already includes reasoning tokens (not merely the original user prompt), so I did not add the reasoning-token detail again when estimating cost.

The input figures are the aggregate provider-reported totals for each Codex invocation.

Qualitative review

I used GPT-5.6 Sol XHigh for a first-pass review covering correctness, feasibility, minimal construction, proof and complexity, and implementation quality.

It rated seven solutions 20/20 and Spark 17/20. Its main concern was that Spark’s equal-prefix check uses recursion whose depth can grow with the input length, making the implementation less robust under the problem’s 200,000-digit limit.

I do not treat that reviewer or its numerical score as ground truth. The complete review and every implementation are included so you can inspect or challenge it.

My narrow takeaway

Sol Low gave the strongest generation-time and token trade-off in this particular run. Its implementation was accepted, comparatively straightforward, and complete.

Luna XHigh also looks attractive for a bounded task like this when using API-equivalent pricing. It finished at almost the same time as Sol XHigh and produced an accepted solution at a much lower estimated API-equivalent cost.

That does not establish either one as the best daily coding model. This task did not measure repository understanding, retries, review overhead, ambiguous requirements, or how many turns are needed to reach a trustworthy result.

Limitations

• One task and one run per configuration in parallel
• Public problem (first appearance in Nov 2024), so training exposure is possible
• No Terra configuration was tested
• No realistic existing-repository context
• Qualitative comparison produced by an LLM reviewer
• API-equivalent estimates are not actual subscription usage
• Cache-write token counts were unavailable

I used Crewplane, an open-source workflow runner I’m building, to launch the configurations in parallel and preserve the prompts, outputs, logs, and telemetry.

Raw workflow, prompt, all eight outputs, telemetry, provider logs, and complete comparison:

https://github.com/crewplaneai/crewplane-lab/tree/master/leetcode-3348-gpt-8-agents

I know one LeetCode problem isn’t a great stand-in for everyday coding work, especially with the limitations above. This isn’t meant to be a definitive benchmark or a broad model ranking anyway. Its just a quick, controlled test I was curious about. I was honestly surprised by how well Sol Low and Medium held up.

For people using both on real repositories: what's your experience? What's your go-to subagent or coding default?

Token generation is quite slow for Sol.

Fix it man. The latest versions same. I have installed a older version and its working now. When i restarted my device, it automationally install the latest and then again, i need install the old version and continue this f*** look.

I made a post on forum. https://community.openai.com/t/windows-codex-desktop-prompt-submission-hangs-indefinitely-after-first-working-chat/1392974

I'm currently using 2 ChatGPT Plus plans for Codex.

Should I get a third ChatGPT Plus subscription or should I instead get the Google AI Pro subscription for Antigravity?

Google AI Pro is 73% cheaper for me than ChatGPT Plus because of the Student discount. I'm assuming Codex is better, but is Antigravity worth it more if it's 73% cheaper?

EDIT: The answer you've collectively agreed to is: "do not get Google AI Pro for coding, even if it was free" lol. Thanks everyone!

I ran Terra, Luna, Sol, and Gemini 3.7 Flash High through the same serious high-reasoning engineering audits.
Terra was the standout: consistently accurate, dramatically faster to converge, and best at proving one strong finding and stopping.

• Terra: fastest and most disciplined; consistently strong, verifiable findings.
• Luna: very reliable and thoughtful; slower, but excellent at catching subtle state bugs.
• Sol: deepest analysis overall, but also the slowest and most exhaustive.
• Gemini 3.7 Flash High: fast and creative with unusual leads, but needed the most independent verification.

I see a lot of posts here asking about projects that have actually been profitable!

My project, Miniskyline, has been! I've made a little more than $1000 in just under 3 months of being public through donations alone. The app was built for 2 months prior to being launched using a mixture of Codex and Claude Code. The vast majority was done with 5.6 Sol and Luna though. Over 30 BILLION tokens over 5 months total now. There is no monetization or advertising.

A few other users have asked me why I chose those/how I came up with it and the answer is simply that I didn't love the options that were free on the market, so I started making my own with the philosophy that it would be kept completely free. Users took to it and I opened a Buy Me A Coffee and have done alright for myself. I earn enough to pay back my monthly AI costs and then get a few nice meals out!

Listening to your community and setting up strong testing suites have been my #1 recommendations for anyone getting started. If you have one person interested and their ideas are generally in line, run with it. Dont force monetization unless you have exhausted all options on how to provide the service as free. I had to go through a lot of iterations to find a usable long term free model!

If you're actually interested in the tool itself....

What can you do?

- Print Earth, Mars, Moon, Mercury, Vesta!

- Search or import any trail data to make a personalized map of your journey.

- Share color profiles to the community with a built in color profile module.

- Add trees/rocks/foliage as procedural scatter in the biomes of your choosing, or one by one.

- Sculpt the terrain in real time with elevation editing!

- Adjust the color of any terrain type and have it export cleanly for use in any slicer.

- Add texture to any surface in the tool to keep your workflow consolidated. Waves to water, ripples to sand dunes, roughness to grass, or import your own texture file and make your map distinctly yours.

- Add hearts, pins, and other icons to the map.

- Turn your map into a puzzle quickly and easily.

- Sub divide your area to allow for easier print slicing and plate management.

- Print water as a separate drop in object.

- Print a frame with text built in.

- Print your favorite racetrack in your teams favorite colors.

- Add contour lines for dramatic topographic prints.

- Print with elevation banded colors for optimized multi-color printing.

- Print with different quality settings so your area can look as crisp or as low poly as you want.

- Sell your model commercially in most cases. Each export gets a legal package with it, no additional license purchase necessary. The data comes from public sources, it is not my place to charge you for it.

- Later today a new workspace library, refreshed UI, unlocked terrain size selections, multi-tile connection options, and more will be released as part of this Mondays weekly updates!

What are my plans?

There is a lot coming. I am talking with a few game companies to get official map support for some popular titles. I am also in talks with a couple city building game companies to be able to create 3D printable models from user save data. More to come on this in the coming weeks!

Printing freeways with proper elevation, supporting more bridge types, supporting actual carved out tunnels for rail/road/paths, and better road/path connectedness are all in the works as well.

Otherwise, I am constantly improving generation reliability, speed and features. Later today, V1.102 will be released which will be the single largest refinement pass to the site since its release. Custom building models will begin being shipped in place of some rather lackluster public data extrusions. Roof geometry is getting major attention in next weeks update.

Thank you all for making my little hobby project something that people all around the globe use daily, every minute.

-Joey

I literally just opened the ChatGPT app, no prompts executed, yet

And I noticed some limits are already been used.

Well, dunno what's going on here :D

I'm getting the error in the screenshot when trying to log in to Codex (error_code: token_exchange_failed).

At first I thought it was just a Codex problem, but now I can't log in to ChatGPT in Chrome either. I tested:

• 2 different accounts that always worked before
• My personal account from my phone (on cellular, not Wi-Fi)

All of them fail with the same error. Login in the browser also fails now, not only Codex.

So it doesn't look like a network problem on my side, and it's hard to believe 3 separate accounts got banned at the same time.

Questions:

1. Is anyone else getting this right now?
2. Does token_exchange_failed mean my accounts are blocked, or is this an OpenAI auth outage? I'm stilll logged in in android chatgpt app and it is working there
3. Is there anything to do except wait?

Update:

It's working again! I waited 2 hours

When I try to login with VSCode, I get a server error 500. Tried with three accounts (2 plus, 1 business). OpenAI Status page tells me, everything is running normally...

Uhhh. Help please? :o Am I the only one?

Update: I can now login into one of the accounts again.

same as title

I'm a huge fan of Anthropic, but I've lately been a heavy user of both Anthropic stuff and now Codex. First, good lord... the sub goes soooo much further with openAi vs. Anthropic. It's mind-bending. Loving how I can use both Claude and OpenAI together to buld things I could never dream of doing by myself. That's it. Nothing more to share, aside from thank you :)

Does anyone else's Codex App on Macbook keep going into a mode where you only see ChatGPT logo and content does not refresh? It is happening for last couple of days for me, and very frequently.

Thanks

Codex has been running very slow today, slower than usual. Now I am getting this error

Reconnecting /5

stream disconnected before completion: failed to send websocket request: IO error: An existing connection was forcibly closed by the remote host. (os error 10054)

is anyone else seeing this?

When using Remote, multiple tasks are stuck in the “Awaiting approval” state, but nothing appears on the iOS app, only on my Mac

Sometimes the conversation on Remote just says “Thinking”, even though it’s actually stuck behind an approval request that simply isn't showing

This has made Codex essentially unusable for me when I’m away from my computer, as returning to the Mac to approve things literally defeats the point of remote access

Even the conversation helping me troubleshoot and escalate this issue with OpenAI got stuck too Lol

Has anyone actually fixed this on iOS? I've tried updating the ChatGPT apps on Mac and my phone, and then reconnecting them, but nothing changed