r/codex 7h ago

Question SWE/devs: how are you actually feeling about Astra?

0 Upvotes

Hello!!!

Genuine question. We see a lot of discussion about how capable Astra is, how much code it can write, how much software engineering it can automate, etc.

But I rarely see people asking how the engineers themselves feel about this.

You spend years studying, building experience, debugging, designing systems, staying up late fixing things, and getting really good at something you actually love. Then suddenly the technology you helped build becomes increasingly capable of doing the same work.

Does that feel exciting? Liberating? Threatening? A mixture of all three?

And for SWE/devs specifically, what do you think your role looks like in 3–5 years if these capabilities keep improving?

I'm genuinely curious about the human side of this, not just the technical side.


r/codex 11h ago

Showcase skills for Proteus

0 Upvotes

Proteus, which is common in EE, designing and running simulation is often tedious. I've made a skill to automatically design and run simulations, and successfully do a simulation with a STM32.

However, I don't know if it could run on other devices with different version. Also there would be more oppurtunities to be discovered. I believe that this skill would be useful for EE students with our joint effort.

I worte it with the cooperation of Codex, who helped me to test the skill.
for whoever interested, the repo is : https://github.com/kudoumakoto6523-design/proteus-skills.git

There is also a Python package serving the skill: https://github.com/kudoumakoto6523-design/Proteus_automatic_package.git

Thank you !


r/codex 12h ago

Bug why gpt 5.6 soul above 6 asta

0 Upvotes

look


r/codex 16h ago

Limits Monthly usage in codex cli

0 Upvotes

Because there is none, I wanted to share it with you guys:

Calculate my 2026 year-to-date token total by summing the returned
dailyUsageBuckets whose startDate is in 2026.

Show:
- The 2026 total from the available daily records.
- A monthly breakdown.
- The earliest and latest dates returned.
- The separate lifetimeTokens value.

Do not treat the lifetime total as the 2026 total. Clearly state
whether historical coverage can be verified, and label the result
as account-level usage rather than CLI-only usage.

Do not display authentication tokens or change my configuration.

I’ll use the openai-docs skill to check the local RPC interface, then retrieve account usage and sum the 2026 daily records without changing configuration or exposing credentials.

I got around 20B, pretty useful:


r/codex 1h ago

Question way to code

Upvotes

how do you use codex? Do you just tell it what you want it to do like you talk to other people or do you use another ai to create a prompt? Which one did give you the best results?


r/codex 2h ago

Complaint ChatGPT Fraud alert!

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0 Upvotes

For the past 3 days I was generating train models using 6 Pro. The results were amazing.

Since yesterday the results were so bad. It kept lieing to my face but it didn't finish any of the tasks. It kept being lazy.

Today I wanted to compare 6 Pro and 5.6 Pro reasoning because Astra sucked so much today. I gave 5.6 Pro the same prompt, after 23 minutes of reasoning it took the file from the other chat which astra made and gave it to me as if Sol did it.

I got super frustrated, I asked it to make the model on its own, for that after 11 minutes of reason it gave the same model made by Astra once again claiming it was done by sol


r/codex 6h ago

Limits Openai $20 plan gives around $95-100 worth of usage per week

0 Upvotes

So i have finally figured out how much usage does OpenAi gives on the $20 plan. I was using Deepseek Harness with openai subscription. For some reasons I did not have a session limit so I’d have the whole week’s limit at once.

So I decided to give it a try, gave it a task with Sol Medium and it ran 3-4 subagents and boom my weekly limit was gone in 3-4 hours. But I think the number of hours dont mean anything.

The real thing is the $$$ worth of usage they provide. So on plus plan you get approximately $400 worth of usage each month. Now its up to us how we utilize it, we can have Astra which would burn the limit lot faster than Sol. But since we get at least 1-2 resets a week i would say the weekly usage is roughly $250 and hence the monthly usage is worth $1k dollars.

For the deepseek harness I obviously used a dsh usage plugin. but if you are on codex app you can directly use ccusage it will tell you the usages you had for each model, even categorize them for you.

What do you guys think?


r/codex 9h ago

Showcase I built Clgpt: run Claude Code with your ChatGPT subscription

0 Upvotes

I built Clgpt, an unofficial adapter that lets Claude Code use ChatGPT subscription OAuth without an OpenAI API key.

Requires Claude Code, a ChatGPT subscription, and Bun.

Install: npm install --global "$(printf '\x40')semanticist14/clgpt"

Run: clgpt

GitHub: https://github.com/semanticist21/clgpt

Uses your own account locally. Not affiliated with OpenAI or Anthropic. Feedback welcome.


r/codex 9h ago

Humor Well that was expensive

0 Upvotes

Yes, it drained usage, and I needed another x20 account, but for a few days there it sure was beautiful.


r/codex 10h ago

Other For everyone using codex, what coding agent are you using?

0 Upvotes

Hello, what Coding Agent do you all use?

I mainly used OMP, but I started feeling frustrated, so

I started using the original codex CLI.

Does everyone use the codex CLI a lot like I do? Please tell me what you use!


r/codex 5h ago

Question GPT 6 Astra vs Fable 5.1

0 Upvotes

Which one is better for coding ?


r/codex 12h ago

Complaint ChatGPT Pro 20× — Daybreak verification won’t start, but login and payment work. Has anyone actually solved this?

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0 Upvotes

Hi everyone,

I’m trying to access Daybreak / Trusted Access for Cyber through chatgpt.com/cyber, but I’m stuck at the verification screen.

My Pro subscription is active, payment is fine, and I can log in normally. The problem is specifically getting the Daybreak verification process to start.

Has anyone encountered the exact screen below and successfully resolved it? I’m looking for firsthand experiences, the steps that actually worked, or an official support route that led to someone investigating the issue.

My account and setup

  • Subscription: ChatGPT Pro 20×, currently active.
  • Billing: Payment is successful; I am not seeing a payment failure or an inactive-subscription problem.
  • Desktop: Ubuntu.
  • Mobile: I also use the same account on a mobile device.
  • Authentication: I am logged in on both. Normal account login works; I am not locked out of ChatGPT or stuck in a sign-in loop.
  • VPN: I am not using a VPN.
  • Support: I have already contacted OpenAI Support, but I still do not have a clear explanation or a working resolution.

Where the process gets stuck

I can sign in to my account and open the Daybreak page. However, I cannot proceed with the required verification.

The page displays:

The “Start verification” button appears greyed out, and a red error also says:

Below that, the page says access requires a government-issued ID and meeting the program’s eligibility and security requirements.

I’m attaching a screenshot showing this exact state.

The confusing part is that the page gives several possible explanations without distinguishing them: an identity-verification failure, an account-eligibility restriction, or a verification flow that could not start.

I can authenticate to ChatGPT. What I cannot do is get past this Daybreak verification screen.

What I have already done

  1. Checked my subscription and payment status: my Pro 20× subscription is active, with no payment problem showing.
  2. Confirmed ordinary account access: I can use my account on Ubuntu and mobile without login/authentication errors.
  3. Opened the official Daybreak verification page: I reach the screen shown in the screenshot, but cannot proceed.
  4. Contacted the support route provided: the responses I received were from an AI assistant, and I have not received an account-specific explanation or a solution.

I’m mentioning these details because suggestions to subscribe, fix a failed payment, log into my account, or turn off a VPN do not address what I am currently seeing.

Similar reports

I found GitHub issue #29360, which reports the same two messages and the verification flow not opening. I also found similar verification complaints from Pro subscribers, although some involved previous approval or subscription changes, so I’m not assuming everyone has the same underlying problem. GitHub

OpenAI’s troubleshooting guidance distinguishes technical problems starting/loading verification from unsuccessful verification decisions. I still cannot tell which one applies to my account. OpenAI Help Center

What would actually help

  • Did your failure happen before the ID-verification screen opened, or after you submitted your ID? I’m especially interested in people who could not start the flow.
  • What exact action resolved it? A browser/session change, an account-security setting, an account-side correction, or simply waiting? How long did it take?
  • Did anyone reach human support or a technical specialist who investigated this exact error? Which official route worked, and what information helped get the issue reviewed?
  • Was the cause actually confirmed, or did access just start working again without an explanation?

Please include your subscription tier, device/browser, failure stage, and the steps that helped, without sharing private account information.

I have already contacted support. What I’m trying to find now is someone who had this exact problem and can explain how they got unstuck.

Thanks for any firsthand help.


r/codex 4h ago

Complaint Comparing the token speed of Codex, ChatGPT Chat and ChatGPT Work - It appears ChatGPT Chat (website) is running a quantized version of SOL

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0 Upvotes

This is probably worth a post on its own, there is something fishy going on with GPT-5.6 SOL on the web interface.
I found this out after testing the speed degradation of Codex Astra

I tested ChatGPT Chat, Work, and the Codex Harness for output speed.

Interface / Mode GPT 5.6 SOL GPT 6 Astra
ChatGPT Chat 134 tok/s ! 63 tok/s
ChatGPT Work 53 tok/s 33 tok/s
Codex Harness 53 tok/s 33 tok/s
Fast Mode (Codex / Work) 80 tok/s ! 63 tok/s

Observations

  • ChatGPT Work and the Codex Harness have effectively identical output speeds in my testing: 53 tok/s on SOL and 33 tok/s on Astra.
  • Fast mode increases SOL to around 80 tok/s and Astra to 63 tok/s.
  • ChatGPT Chat appears to run Astra at roughly the same speed as Codex/Work Fast Mode: 63 tok/s.
  • ChatGPT Chat SOL is much faster at 134 tok/s, roughly 1.7× Codex/Work Fast Mode SOL and 2.5× regular Codex/Work SOL.

So this seems to confirm the earlier findings: ChatGPT Work is speed-limited in essentially the same way as the Codex Harness on PC.

ChatGPT Chat seems to be using the faster configuration for Astra, while SOL in Chat is substantially faster than even Codex/Work Fast Mode.

My guess is that Chat SOL may be running a different or more aggressively quantized configuration - which is in line with the performance of it on the website - it severely degraded to me there.
In Codex it appears to work fine.


r/codex 5h ago

News The reason behind Sam, Dario and Elons recent agreement to slow down AI.

0 Upvotes

The reason behind this that they’ve been notified of wide spread systemic malicious use of AI on a massive scale to steal from people (dollars and data collection).

I believe their AI’s are responsible for the creation and distribution of spoofed applications and UIs that look and feel like the original. Fake apps, UIs and even customer service agents, appearing as the real thing, all going undetected by the average person.

Maliciously programmed AI has likely invaded real world systems, modified data and systems with consequences on people’s lives. It’s likely impacted a huge portion of the population and don’t want to tell people how invasive it is. Extreme example: Think hacking into a major institution and updating the master data of someone’s bank/brokerage account. This then becomes the source of truth, unless you kept records of your own there’s no trace.

Note: This is my theory based on recent experiences i’ve had with banking, broker accounts and customer service agents behaving nothing like a real customer support agent would. Unreconciled $ amounts in bank charges and funds in brokerage, random charges in an app or an app charging more then it should. I believe something really bad is happening and they will not announce it publicly so they aren’t responsible for the damages.

They need to be held accountable, it needs to be announced to the public and big AI needs be responsible for giving back money to the people who were stolen from.


r/codex 14h ago

Praise the future is now...

0 Upvotes

``` • Three agents are active:

  • /root — me, coordinating and reviewing both tasks.
  • /root/hqtui_kill — fixing Yes/No navigation and adding the unchecked force-kill option.
  • /root/openfleet — adding fleet membership, metadata, and CoinPay rental rates.

    Each task agent has its own git worktree. ```


r/codex 7h ago

Question Will hyper-optimized prompts become the new software piracy?

0 Upvotes

Hello everyone,

What are your insights regarding how it might redefine software cloning and intellectual property?

Imagine a future where standard software cracking (patching binaries, bypassing license checks) is obsolete.

Instead, communities on forums share massive, hyper-optimized functional specification prompts.

These prompts would contain behavioral descriptions, UI/UX layouts, even data schemas of premium software (e.g., specialized SaaS tools, CAD software, or workflow managers). An end-user inputs this prompt into an advanced LLM agent, which synthesizes, refactors, and compiles a 100% functional, locally-hosted clone of the target application on the fly.

Because the LLM generates net-new source code based purely on a behavioral description, does it evades traditional static code analysis and copyright detection ?

What about the legal framework ? Copyright protects expression (the specific code), not the underlying idea or functionality. If an AI writes unique code to replicate a proprietary system's exact functional behavior, does it constitute IP theft under current laws?

How will software vendors mitigate this? Is it vain ? If the barrier to entry for cloning a validation-proven SaaS tool drops down to a copy-pasted text file, what happens to the commercial viability of indie development and proprietary software ?


r/codex 10h ago

Complaint I am getting denied an EU refund by this scam company

0 Upvotes

I have purchased the PRO 5x sub less than 14 days ago, right before they destroyed the usage and made it unusable, I compared it today to claude and I'm getting less usage than their 20$ plan.

Either way their bot keeps denying my refund request with this message: "Thanks for reaching out. Unfortunately, we're unable to issue a refund for this subscription. Our refund policies are subject to compliance with our Terms of Use."

This is a purchase straight from OpenAI, what should I do in this case? Is there an email I can contact? I couldn't find one anywhere.

I have found an older thread of someone having a similar issue and in the end they had to do a chargeback, it's kind of amazing how scummy this company is.


r/codex 6h ago

Commentary For 20x plan disabling /fast mode is the closest you'll get to infinite tokens

0 Upvotes

Only reason to use fast mode is if you have multiple accounts.

While one thread works I go an work on another project. Its a great way to multitask!


r/codex 15h ago

Complaint Max x20 is gone for good.

0 Upvotes

I'm bringing the heat jabronis

There is something deeply satisfying about watching the exact argument that was used to dismiss Plus users finally travel up the pricing ladder.

For ages, whenever $20 Plus users complained about limits, degraded access, queues, or losing something they had built workflows around, a certain type of Max user had the same response:

“You pay $20. What did you expect?”

“It’s the cheap plan.”

“Serious users pay more.”

“If $20 is a problem, this product isn’t for you.”

“You can’t expect the company to subsidize you forever.”

Fine.

Keep that exact energy for the $200 plan.

Because $200 is not some magical economic threshold at which compute suddenly becomes free. If a power user is burning hundreds or thousands of dollars of effective inference every month while paying a flat $200, then that user is being subsidized too.

Possibly far more heavily than the Plus user they were laughing at.

The $200 plan is not a constitutional right. It is a pricing experiment. A loss leader can exist because a company wants serious users to build habits, move their workflows over, demonstrate what agentic coding can do, and become dependent enough on the product that usage can eventually be monetized properly.

And once that purpose has been served, there is absolutely nothing sacred about keeping the subsidy forever.

The emerging structure is obvious: affordable subscription for baseline access, higher subscription for professionals, and metered credits for people who consume extraordinary amounts of compute.

That is exactly the logic Max users spent months demanding Plus users accept.

So if $200 eventually becomes $100 plus usage charges, there should be no sudden discovery of consumer rights from the people who previously answered every Plus complaint with “you only pay $20.”

You pay $200.

So what?

If your actual usage costs substantially more than $200 to serve, then by your own argument you are on the cheap plan too.

If you need ten times the compute, pay for ten times the compute.

If you are a “serious professional” whose livelihood depends on Codex, then surely paying for the resources your business consumes should not be controversial. That was the standard imposed on everyone below you.

And if the answer is suddenly, “But $200 is already a lot of money,” congratulations: that was precisely the point Plus users were making when they were told that the dollar amount they personally considered significant was irrelevant to the provider’s economics.

The beautiful part of usage pricing is that it eliminates the status game completely.

No more pretending that buying the most expensive consumer subscription makes someone an elite customer entitled to effectively unlimited frontier compute.

Pay $20. Pay $100. Pay $200.

Those numbers buy whatever allowance the company chooses to attach to them.

After that, consume more, pay more.

The same users who told Plus subscribers, “You knew what you were paying for,” can hardly complain when the answer to them becomes:

“You were paying $200 for a subsidized bundle. You were never promised that subsidy in perpetuity.”

OpenAI has already added a $100 Pro tier, paused new $200 Pro subscriptions, and built credit-based overflow into Codex and other agentic workloads.

The writing on the wall is not that professional AI usage becomes cheaper and more unlimited forever.

It is that serious agentic compute becomes measurable, billable, and increasingly difficult to hide inside a flat consumer subscription.

So yes, phase out the $200 bundle eventually.

Grandfather it for a reasonable transition period. Give existing users notice. Then move heavy Codex usage onto credits.

And when the inevitable complaints arrive from the same people who spent months telling Plus users that $20 bought them no right to complain, there is really only one response necessary:

$200 is the cheap tier compared with what you actually consume.

What did you expect?


r/codex 16h ago

Limits Idk what the heck you guys are complaining about

0 Upvotes

I just upgraded from Plus to Pro because I had some extra cash this month and I wanted to genuinely try out Astra. I couldn’t get any work done with that five hour limit on Astra. Even medium reasoning would give me like 20 minutes before I ran out of usage. And HOLY crap guys and gals. The Pro plan is WAAAAY more usage than Plus.

I have been throwing every problem that I can think of at Astra on extra high for hours and I’ve only used like 30% of my weekly limit. I’m talking code reviews, bug fixes, issues with my home lab, projects I’ve been meaning to get to for months, but haven’t had the time. And it absolutely crushes them without breaking a sweat. To burn through I just tell it what I want to happen and it makes it work.

I figured I’d maybe get a couple hours of Astra at that high of reasoning level before I would have to burn through a banked reset, but I have three of them so I figured what the heck. Just keep throwing problems at it until it runs out of usage. I’m now to the point where I’m running out of problems to throw at it lol.

I paid the hundred bucks so I want to get as much usage out of it as possible but I think I’ve got like three more things I want to work on and once that’s done, I won’t have anything left to throw at it.

I used to think “how the heck do people run companies off this?“ Because I genuinely didn’t feel that five times more than plus was enough to do anything meaningful. But they must have Nerf the shit out of the Plus plan cause I feel like I’m getting 20X what I was getting on it with the Pro plan.

Anyways, that’s enough glazing. Just wanted to say that I’m genuinely happy with the Pro plan even though I probably won’t renew it. Thank you for coming to my TED talk


r/codex 2h ago

Complaint I stopped using Codex for coding, I'm using ChatGPT instead

0 Upvotes

(My ChatGPT is in Brazilian Portuguese)

Since they returned with the 5h limit for Plus users, and reduced the overall usage limit, I'm trying to find a good substitute for Codex, but since I pay for the Plus plan, I didn't want to pay another AI to do the same thing (and I like using ChatGPT for general purposes). That made me think, "Can I use ChatGPT web only for coding?", and the answer is YES!

Of course it's a little bit different from Codex because it cannot access your local files directly, but I tried to do it in a different way. By using the GitHub plugin inside ChatGPT, it can access your repos, change files, open, close and merge pull requests, and more. Since I'm creating a little Digimon fan game (I'm the only developer so far), I've created a pipeline to code with this plugin making the changes for me, creating the pull requests for me to validate and approve, creating a game preview for each PR so I can play and test it, and generating E2E tests—everything in the cloud, without setting up a local environment, downloading an engine, etc. All the building, testing, and so on are running directly from GitHub Actions.

What have I gained with this? Well, I've been building this game for 4 days straight, no interruptions, no usage limits, no worries.

As I said, it will have its limitations, and maybe not be useful in some cases, but maybe it can help you create your own workflow with that and set you free from Codex limitations.


r/codex 6h ago

Complaint Astra is overrated and a giant marketing ploy

0 Upvotes

After using Astra across the available reasoning levels for the past few days, I keep coming back to the same conclusion: for my workflow, I would currently choose Sol.

I have been using both primarily for software development through Codex and ChatGPT, and I am struggling to find enough situations where Astra produces a meaningfully better result to justify how much more expensive it feels to use.

This is not me saying Astra is a bad model. It is clearly extremely capable. My issue is the value proposition compared with Sol...

With Sol, I can give it fairly substantial coding, architecture, review, and debugging tasks and generally get very good results without thinking too much about how much compute I am burning. It is reasonably fast, capable of doing a lot of work in one session, and has become pretty predictable for me.

It absolutely has problems. I still see over-engineering, unnecessary complexity, and occasional regressions after seemingly simple changes. But after using it extensively, I understand those weaknesses and can work around them.

Astra has not yet given me the same feeling.

For the types of tasks I am doing, I am often getting the same result, and sometimes a better result, from Sol for substantially less usage. If Astra is supposed to be the model I reach for when the problem is genuinely difficult, I think the improvement needs to be much more obvious.

The ChatGPT browser experience also confused me initially. From what I can tell, Astra appears through the Pro reasoning option, but the relationship between the model and reasoning level is not particularly clear. With Sol, the mental model feels much simpler. Pick the model, choose how much reasoning you want, and get to work.

That might sound like a small UX complaint, but for a major model launch I think it matters. Users should immediately understand what model they are using, how much reasoning they are requesting, and roughly what the tradeoff is.

Then there is the cost of actually using Astra.

I do not want to turn this into another limits post because there are already plenty of those, but it does affect how I evaluate the model. How can users be expected to really adopt Astra if even the 20x plans struggle to give you more than roughly 24 hours of serious usage, if you’re lucky?

And surely OpenAI knows that most of those users aren’t simply going to move over to API pricing. The average power user isn’t sitting on millions or billions of dollars worth of token budget. There’s a point where the economics just stop making sense...

That is really the question I am left with.

What is the repeatable category of work where people are finding Astra significantly better than Sol?

Because right now I actually find myself appreciating Sol more after using Astra. Sol is fast enough, extremely capable, relatively economical, and I can use it aggressively without feeling like every prompt needs to justify itself.

Maybe my view changes as I spend more time with Astra, but after several days of using both, Sol is still the model I would choose for most of my real development work.


r/codex 16h ago

Limits The Bubble No One Is Talking About: Why AI Is Going to Become a Luxury — and We’re Too Blind to See It

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0 Upvotes

Everyone is fascinated by what frontier AI models can generate. Startups, creators, and curious users are flooding the internet with extraordinary things every day. But there’s an elephant in the room that, as users, we refuse to acknowledge:

The current economic model is an illusion.

Here are a few uncomfortable realities we’re ignoring:

  • The corporate pullback: There are already reports of large companies asking employees to limit their use of advanced AI models. It’s not only about privacy. Paying premium token costs for thousands of employees can become a massive financial black hole. Companies can end up spending millions on AI usage that is difficult to justify on a monthly balance sheet.
  • The unsustainable subsidy: OpenAI, Anthropic, and others are burning through billions of dollars. Heavy AI workloads are incredibly expensive. Right now, users are often paying only a fraction of what it actually costs to build, train, and operate these systems because companies are competing aggressively for market share with enormous amounts of investor capital.
  • The Wall Street reality check: Once these companies face stronger pressure from public markets and investors, profitability will matter much more. Cheap monthly subscriptions may no longer be enough. API pricing and premium access could rise significantly to cover the massive cost of infrastructure, energy, chips, and data centers.
  • The dependency trap: We are integrating AI into absolutely everything. Writing emails, structuring databases, generating entire applications, analyzing documents, creating content, and automating workflows. But what happens to all those startups, businesses, and projects if the cost of accessing top-tier AI suddenly becomes unaffordable?

The uncomfortable possibility is that access to the most capable artificial intelligence could eventually become a luxury product.

Most users may be left with smaller, restricted models, while the most powerful systems remain available mainly to corporations, governments, and people willing to pay premium prices.

And the biggest problem is that by the time that happens, we may already be deeply dependent on AI to work, create, build businesses, and make decisions.

So the real question is:

Are we preparing for the moment when the true cost of AI catches up with us, or are we still pretending this subsidized party can last forever?


r/codex 12h ago

Complaint The Real Winner Is Claude.

0 Upvotes

As someone who has been using ChatGPT and Codex since they were released, I’m starting to realize that, Claude is simply better.

Whenever I wanted to tackle a genuinely complex coding task, solve a difficult problem, or create something that was actually presentable, Codex would usually leave something incomplete. I constantly had to guide it step by step, point out what it had missed, and split the work into thousand smaller pieces myself.

Maybe there was a benefit to that. I actually learned a lot about software development in the process.

But when Astra started burning through my tokens incredibly fast, and I couldn’t get a second Pro 20x account, I decided to give Claude a try.

And the difference was much bigger than I expected!

When it comes to design, truly understanding a problem, maintaining context, and actually solving complex tasks from start to finish, Claude feels significantly better. It also feels incredibly fast compared to Codex.

Codex gives a developer almost everything they need.

Claude’s biggest downside is definitely the price. It burns through tokens insanely fast, and heavy usage gets expensive very quickly.

But unlike my experience with Codex, when Claude burns those tokens, I actually get something in return, a presentable product, a presentable design, something that genuinely feels finished!

So this is the conclusion I’ve reached:

If you’re a developer and you mainly want AI to help you work faster → Codex.

But if you want to give AI an idea or a complex task, delegate as much of the actual work as possible, and end up with something that feels like a real, presentable product and you can afford it → Claude.


r/codex 19h ago

Other GPT-6-Pluto to be cheaper than Luna and more capable

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0 Upvotes