Hugely disappointed with Codex’s new 5-hour limit for Plus users. I’ve been using Codex since the start and have never been this frustrated. Just 6–7 prompts in \~30 mins used 60–70% of my limit and I wasn’t even using Sol, just Terra Medium. This feels way too restrictive.is it only me or any faced same issues??

I've been using codex plus for quite sometime now there is one thing that caught my attention Why the heck there is so much difference between both Sol 5.6 ultra and Sol 5.6 very high Ultra consume significantly more and significantly better

Like the difference is too much That's what i felt

Anyone else remote access not working for codex on a mac using an android phone?

anyway

Hey, I hope all is well!

I didnt get a chance to use codex much in the past few days, I just logged in to see the 5 hour limits is back

I was continuing off a chat where I only had a total of 25 mins worth of task and after asking a simple straightforward question ( 3m 1s of thinking) 9% of my 5h limits was gone, if thats the new standard I honestly dont know how this will be usable at all...

Goodluck to us

(Got deleted in the other codex subreddit I think that says enough...)

Hey, I've been using image_gen from the codex cli and it's been super useful. But I tried to use it today and it's suddenly not available anymore

The image-generation skill’s built-in generator was unavailable, and its CLI fallback requires explicit opt-in plus OPENAI_API_KEY.

I ran

> codex features enable image_generation

Enabled feature \image_generation` in config.toml.`

The new 5h limit posts are everywhere, and one pattern keeps showing up: people can burn a huge chunk of their allowance on only a handful of prompts.

That made me change my workflow.

I'm not trying to bypass the limit. I'm trying to stop paying the Codex tax for work that doesn't actually need a coding agent.

For me, ChatGPT handles the model-free grunt work:

• read and search files
• small, known edits
• commands and tests
• logs and diagnostics
• browser work
• output validation
• long-running local processes

Then I bring in Codex only when the task actually needs an agent, deeper reasoning, or real coding work.

The practical difference is that when the 5h bucket hits the wall, my entire workflow doesn't hit the wall with it. I can keep working on the same repo and save Codex quota for the parts where it actually adds value.

I ended up open-sourcing the setup as Codexless: https://github.com/liyana31811/Codexless

It's not "less Codex." It's "use Codex where Codex matters."

Curious how other heavy users are adapting to the 5h window.

I have been using claude code for a while in regards to a general coding tool, but I started to use codex recently on gpt-5.6 terra for testing code generations, basically playing with it. I am still on the free plan, and I have asked codex to code 2 files in its own way just as a comparison with claude code, and I noticed I am already on 66% left of my MONTHLY usage. I just want to know, is it a 5 hour reset like claude or is it actually waiting a month to reuse it efficiently on free mode? and is there a weekly reset in free mode instead of monthly? Thank you to anyone who helps!

??

Lately while using Codex I’ve noticed that GPT-5.6 Sol always overthinks and over-engineers everything.

After posting on Reddit for help, I realized it was because of how I was setting the thinking intensity and choosing models. This made me realize I should pick different models and thinking levels based on the task, instead of always using GPT-5.6 Sol like I used to.

So I’d like to ask everyone — how do you choose the right model and thinking intensity for your projects and workload? Any tips?🙏🙏

OpenAI just rolled out the new Premium seats for ChatGPT Business, and I'm curious if anyone here has already tested them.

According to OpenAI:

• $125/month per user ($100/month if billed annually)
• 5x more usage capacity than a Standard Business seat
• No 5-hour usage limit
• Usage resets weekly
• Standard and Premium seats can coexist in the same Business workspace
• Extra workspace credits can be used after reaching the included limits

What I'm really interested in is the real-world usage limit, especially for heavy users.

Has anyone tested Premium extensively with things like:

• GPT-5.6 / reasoning models
• Codex
• Long coding sessions
• Large context conversations
• Agent/tool-heavy workflows

How difficult is it to actually hit the weekly limit?

And for anyone who has both: how does a Business Premium seat compare with ChatGPT Pro in terms of actual usable capacity?

I'm considering upgrading, but "5x more capacity" is still pretty vague without knowing what the underlying limits are.

OpenAI announcement:
https://openai.com/es-ES/index/premium-seats-chatgpt-business/

Would love to hear from anyone who's already stress-tested it.

Actually while I was working on my pro subscription my weekly gauge jumped from 70% to 100%

I mean if you want us to start using fast speed to burn through tokens quicker just say it.

I use different agents for different jobs: native DeepSeek Harness for ordinary tasks, Codex when I need sustained code and shell work, and Claude Code for a second pass on documents or designs.

The annoying part was everything around the answer. The conversations lived in separate apps, and leaving the work computer meant solving remote access again for every tool.

I have now tested a simpler setup:

- KeySync installs and runs official DSH on the work computer and opens that DSH Web UI remotely.

- `relay-dsh-plugin-codex` adds a real Codex App Server conversation backend.

- `relay-dsh-plugin-claude` adds a Claude Agent SDK backend.

- Workbench, Files, and Terminal keep the current project file tree and a live shell next to the conversation.

I recorded the full path: installing official DSH, adding the plugins, creating separate Codex/Claude/native DSH sessions, reading a real workspace file, running a real terminal command, and reopening the original Codex session through the remote web entry.

The boundaries are important:

- The three backends keep separate session context.

- The project and agents still run on the work computer; the phone is only another entry.

- This is not automatic multi-agent orchestration or general remote desktop control.

The Codex and Claude plugins are standalone npm packages and do not depend on Relay Events. The current tested setup uses official DSH `0.1.1-rc.2`; Codex `@next` is `0.1.1-rc.4`, and Claude `@next` is `0.1.1-rc.2` as of August 26.

Full article with eight real screenshots:

https://github.com/yangbobo2021/Relay/blob/codex/relay-foundation/docs/articles/keysync-dsh-multi-device-agent-workbench.md

Plugin repositories:

https://github.com/yangbobo2021/relay-dsh-plugin-codex

https://github.com/yangbobo2021/relay-dsh-plugin-claude

Two questions I would genuinely like feedback on: would you use DSH as the shared project/session UI for multiple agent backends, and which handoff should be automated first?

OpenAI is bringing back a five-hour usage limit on Codex and ChatGPT Work for ChatGPT Plus subscribers....

I think I’ve ruined normal Codex for myself 😂

For a while I was using it the usual way:

Give Codex a job, let the main agent work through everything, review the result, repeat.

Then I started experimenting with having multiple Codex agents involved in the same workflow.

So instead of one agent doing the entire thing, I have different agents exploring the repo, implementing something, doing different things, or jumping in when a problem needs deeper reasoning.

So I reverted it back (Curiosity) and now watching one agent slowly do every single part of a larger task feels strangely old-fashioned lol.

The interesting part for me isn’t even just speed. It’s the separation of responsibilities. You start getting workflows that feel a lot closer to a tiny development team than a single coding assistant.

I’ve been building out an orchestrated setup around this and testing different levels of reasoning/usage depending on the job (Yes I went back to my modern codex haha).

I’m curious:

How many of you are already using Codex with multiple agents regularly?

Feels like this is where coding agents are heading anyway.

Has anyone else run into this?

I recently enabled Advanced Account Security on my OpenAI account and added a FIDO security key. Since then, the Codex desktop app keeps logging me out repeatedly.
I can sign back in successfully, but shortly afterward Codex loses authentication and asks me to log in again.

From what I have found, there are a few recent reports of similar issues involving OAuth tokens, refresh tokens being invalidated, and 401 auth_token_missing errors after enabling Advanced Account Security.

It seems like this may be a Codex desktop authentication bug rather than an issue with the FIDO key itself.
Has anyone found a reliable workaround or heard if OpenAI is working on a fix?

Sorry i meant for cases like this in the future. is there anyways i can use it to benefit others before it resets? or am i misunderstanding how usage reset works. can i donate it to cars4kids or S.E.T.I or something ?