Quick answer: GPT-6 Sol and Luna are OpenAI's two cheaper GPT-6 models, released September 22, 2026, sitting under GPT-6 Astra.
Three names, one ladder, one rule: Astra for the hard jobs, Sol for everyday work, Luna for high-volume grunt work.
My honest first read on Sol: "It's nowhere near Fable. Nowhere near Opus 5.5, so a little disappointing." The benchmark table below is why. They roll out in ChatGPT Work and Codex on paid plans. Neither one is in the Chat tab.
And on my own $100 Pro account, the afternoon they launched, they were not in Work yet either. My desktop app had an update downloaded but not installed, so that list came from the older build. I will show you.
Astra is the top rung, Sol is the middle, Luna is the bottom
Here is the whole family on one table, using OpenAI's own words for each model and its API prices.Rung
OpenAI's own line
API price per 1M tokens (in / out)
Leave it on forGPT-6 Astra
"Our most capable model, built for the hardest end-to-end work"
$10 / $50
Hard jobs: long documents, messy research, a real sparring partnerGPT-6 Sol
"Built to power complex coding and agentic workflows"
$2 / $10
Everyday workGPT-6 Luna
"high-volume tasks with a clear goal, like summarizing documents, extracting information, or answering quick questions"
$0.10 / $0.50
Grunt work you repeat a lotPrices and the first two lines are from OpenAI's model docs, read September 22. Luna's line is OpenAI's wording as quoted in TechCrunch's launch report.
Read the price column as a ladder too. Astra costs 5 times what Sol costs per token. Sol costs 20 times what Luna costs.
That's the ladder I'd use: Astra for the hard jobs, Sol for the everyday work, Luna for the grunt work.
If the names still feel like a riddle, you are in good company. On Hacker News the day it launched, dyauspitr asked:"Wtf is GPT-6 Sol, I though GPT-6 is Astra?"Readerium answered with the best two-line explanation I have seen:"Number is generationName is the size (Luna smallest to Astra largest)"That is the system. The thread is worth a scroll if you want to see how many people are confused.
One more thing that trips people up: there is no GPT-6 Terra. The GPT-5.6 family was Sol, Terra and Luna. GPT-6 swapped Terra out and put Astra on top.
Sol and Luna live in Work and Codex, not in the Chat tab
OpenAI's announcement, reposted in its community forum, says it plainly: "GPT-6 Sol and Luna roll out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users. Both are also available in the API." Launch coverage from 9to5Mac adds that Free and Go users get Luna in the desktop app.
So the Chat tab is not where you will find them. If Work is new to you, what ChatGPT Work is covers it in plain English.
For which plan gets what on which surface, I keep one table on which ChatGPT plans get Astra, and I am not going to duplicate it here.
Now the part the announcement cannot tell you. This is the Work model list on my Pro account on September 22, the afternoon of the launch:My ChatGPT Pro Work tab, September 22, 2026, pre-update: Astra, but no GPT-6 Sol or Luna yet.
And here is the same list twelve days earlier, for comparison:Same account, same tab, September 10, 2026. No Astra, and the names did not even carry the "GPT-" prefix yet.
Two things to take from that. "Rolls out today" and "is in your list today" are different days. And when GPT-6 Sol does land, it is going to sit right next to GPT-5.6 Sol, so check the number, not the name.
If yours is missing too, update the desktop app before you conclude anything about your plan. Mine had an update downloaded but not yet installed when I took that screenshot, so a newer build may already show them. That is the same step OpenAI documented when GPT-6 Astra went missing for people.
Leave Plus on Sol for everyday work and save Astra for the hard jobs
Would I tell a Plus user to leave Work on Sol for the everyday stuff and save Astra for the hard jobs?
Yeah, I would.
Here is the honest part. I got used to using Astra, not gonna lie. But I run it on low, because it burns usage fast.
That is literally a complaint, and it's legit. It's not efficient right now. It burns tokens.
The numbers back me up. OpenAI's own allowance table from September 10 puts Astra at 5 to 45 messages per five hours on Plus, against 10 to 100 for GPT-5.6 Sol. That is roughly double the usage for the same conversation, and I walk through every tier in Astra's usage limits.
That table is for the old Sol. OpenAI has not published ChatGPT limits for GPT-6 Sol or Luna yet.
The same OpenAI help article is also why running Astra on low is not crazy. It says Astra at Low effort can outperform Sol at High effort. That was written about GPT-5.6 Sol, so treat it as a hint, not a rule for the new one.
So my advice is simple: Sol stays selected for the everyday stuff. Astra comes out for the hard job, on low effort first.
Sol's real wins are price and a reliability claim
Sol deserves a fair hearing, and it has two genuine wins.
The first is price. At $2 in and $10 out per million tokens, Sol is one fifth of Astra's API price. An OpenAI spokesperson told VentureBeat these "are permanent prices, not promotional or introductory pricing."
The second is reliability. OpenAI says, per TechCrunch, that "GPT-6 Sol makes about half as many mistakes as its predecessor, reaching Astra-level reliability at much lower cost." That is OpenAI's own internal test, not an independent one.
OpenAI's Tibo (Thibault Sottiaux) went further, in a post the community thread reposts: "GPT-6 Sol and Luna are out. Not only are they a very significant improvement across the board, but also in writing and general 'you know when you try it' quality."
My read, before I have run it: Sol should be good for a lot of the stuff. I expect it to be better than GPT-5.6 Sol, and more efficient. OpenAI's claim points the same way.
OpenAI compared Sol to Opus 5 at medium effort, and Opus 5.5 shipped the same day
Here is where I am a little disappointed.
My opinion, going by the benchmarks and not my own runs: OpenAI basically dropped a cheaper, lower-tier model. It's barely at Opus 5 level.
That read holds up on OpenAI's own chart, with one caveat you should know about:Model
Effort setting
OSWorld 2.0 (computer use)
Cost per taskGPT-6 Sol
xhigh
60.5%
About 80% lowerClaude Opus 5
medium
60.3%
BaselineThese are OpenAI's numbers, as reported by VentureBeat on September 22.
Look at the effort column. Sol's effort dial runs none, low, medium, high, xhigh, max, so xhigh is its second-highest setting. Opus 5 was at medium.
Sol had to run near its top setting to tie Opus 5 at medium, and by OpenAI's math it still did that for about a fifth of the cost.
Then Anthropic released Claude Opus 5.5 hours before OpenAI's announcement. Anthropic says Opus 5.5 performs at the level of Fable 5.1 on most work, at $4 in and $20 out per million tokens. OpenAI's material has no Opus 5.5 comparison.
In fairness to Sol, it is still half of Opus 5.5's price per token. I compare Opus 5.5 with Fable properly in Opus 5.5 vs Fable.
The way I see it, 5.5 is a huge leap. You literally got a better model and it's cheaper.
Sol is a sidekick for grunt work, not my main model
Does Sol feel like a real option to me? To be honest, no.
I think it's gonna be a good sidekick for research and the grunt work I just want to burn usage on. If I want to tinker around and brainstorm, I'm still gonna use Astra.
So I have to find a use case for it. That is the honest status on day one: I have not run GPT-6 Sol or Luna on a real job yet, and it was not even in my list when I wrote this, on an app build one update behind.
I also have a complaint about the model count, and then I have to take half of it back.
I think this whole game of having five different models makes it seem like you have more options, when really you've got one or two good things. That's what I like Anthropic for right now, because it's not complicated. You've got Haiku, Sonnet, Opus and Fable.
So they do have a lot of models too, actually. Never mind.
But I rarely use Haiku. I rarely use Sonnet. I'm just using Opus and Fable. If that is where you are too, how I run Claude is the setup I actually use.
What nobody knows yet
A few things were not public when I wrote this, and I would rather say so than guess:ChatGPT limits for GPT-6 Sol and Luna. OpenAI has published no message numbers for either one.
When the Chat tab gets them. The announcement only names Work and Codex.
How much Luna a Free account gets. Launch coverage says Free and Go users get Luna in the desktop app, with no number.
Whether GPT-6 Sol still loses to Astra on Low. OpenAI's effort advice was written for GPT-5.6 Sol.I log plan and limit changes with dates on the AI plan tracker, and the box at the bottom of this page emails you when one moves.
Which one to pick depends on what you pay forIf you are on Plus: leave Work on Sol for everyday tasks once it shows up. Pull out Astra for the hard job, on low effort first, because it cost roughly double the usage of the old Sol.
If you are on Pro: you have room for Astra, and I still run it on low. Send Sol the bulk research you would rather not spend Astra on.
If you are on Free or Go: Luna in the desktop app is your only GPT-6 door. Use it for summaries, pulling details out of a document, and quick questions, which is exactly what OpenAI built it for.
If you also pay for Claude: Opus 5.5 is the one to beat now, and OpenAI did not even compare Sol to it. Treat Sol as a cheap sidekick, not a switch.Frequently asked questions
What is GPT-6 Sol?
GPT-6 Sol is OpenAI's middle GPT-6 model, released September 22, 2026. It sits under GPT-6 Astra and above GPT-6 Luna.
OpenAI's developer docs describe it as built to power complex coding and agentic workflows, and it costs $2 per million input tokens and $10 per million output tokens in the API, one fifth of Astra's price.
What is the difference between GPT-6 Sol and Luna?
Sol is the everyday model for real work. Luna is the small, cheap one for high-volume tasks with a clear goal, which OpenAI lists as summarizing documents, extracting information, or answering quick questions.
In the API, Sol costs $2 in and $10 out per million tokens, and Luna costs $0.10 in and $0.50 out, so Sol is 20 times the price of Luna.
Is GPT-6 Sol better than GPT-6 Astra?
No. Astra is the top of the GPT-6 ladder and Sol is the middle rung.
OpenAI says Sol reaches Astra-level reliability on its internal factuality test at much lower cost, but Astra is still the model OpenAI builds for the hardest end-to-end work. Use Sol for everyday tasks and save Astra for the hard jobs.
Where can I use GPT-6 Sol and Luna in ChatGPT?
OpenAI says both roll out in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users, and not in the Chat tab. Launch coverage (9to5Mac, VentureBeat) adds that Free and Go users get GPT-6 Luna in the ChatGPT desktop app.
On launch day afternoon, my own Pro account's Work list still showed GPT-5.6 Sol and Luna, on a desktop app with an update downloaded but not yet installed, so update the app first if yours is missing them.
Is GPT-6 Luna free?
Partly. Launch coverage from 9to5Mac and VentureBeat says Free and Go users get GPT-6 Luna in the ChatGPT desktop app, and OpenAI's help center had not caught up on launch day. Sol is for paid plans only. OpenAI has not published how many Luna messages a free account gets.
What happened to GPT-6 Terra?
There is no GPT-6 Terra. The GPT-5.6 family had three sizes, Sol, Terra, and Luna. The GPT-6 family announced so far has three different names: Astra on top, Sol in the middle, and Luna at the bottom.
Where this comes from
The facts come from OpenAI's docs and announcement, plus TechCrunch and VentureBeat, read September 22, 2026. The screenshots are my own Pro account, and the opinions are mine.
I have not run GPT-6 Sol or Luna yet. My list still showed the 5.6 versions, with an app update downloaded but not installed.
Published September 22, 2026. Last reviewed September 22, 2026.
Quick answer: there are two clocks and two separate pools, and OpenAI does publish numbers.
Per its help center, GPT-6 Astra's estimated messages per five-hour window are 5 to 45 on Plus, 25 to 225 on Pro 5x, and 100 to 900 on Pro 20x. A weekly limit sits on top of that, and you need allowance in both to keep going.
So I went and screenshotted the actual table, dated. And from my own $100 plan: I've burned two resets already. The first time I was just a dummy, I was using Ultra for everything.
The finding that matters most is not any single number. It is the ratio sitting inside the table: Astra costs you at least double what GPT-5.6 Sol costs you, at every tier.
The numbers OpenAI actually publishesOpenAI's help article on Astra usage in Work and Codex, captured September 10, 2026, two days after its last update.
The caveat OpenAI prints directly above that table deserves to be read out loud, because every page quoting these numbers drops it:The table below shows estimated local messages per five-hour period. These are not fixed message limits. Actual usage varies by task, model and settings, and weekly limits may also apply.So the honest version of "how many Astra messages do I get" is: somewhere between 5 and 45 on Plus, and which end of that range you land on is decided by what you ask it to do.
Now read the same table for the ratio inside it:Model
Plus
Pro 5x
Pro 20xGPT-6 Astra
5 to 45
25 to 225
100 to 900GPT-5.6 Sol
10 to 100
50 to 500
200 to 2,000GPT-5.6 Terra
25 to 200
125 to 1,000
500 to 4,000GPT-5.6 Luna
250 to 2,000
1,250 to 10,000
5,000 to 40,000Astra is about half of Sol on every row. The bottom of each range is exactly half: 5 against 10, 25 against 50, 100 against 200. The top of each range is a little under half: 45 against 100, 225 against 500, 900 against 2,000.
That is the whole cost story in one line: the same conversation costs you at least twice as much on Astra, and up to about 2.2 times as much.
And if you drop to Luna for the routine stuff, you get roughly 45 to 50 times the messages you would get on Astra.
One thing the column headers will not tell you: Pro 5x is the $100 plan and Pro 20x is the $200 plan. OpenAI labels them by multiplier, your credit card labels them by price, and nobody maps the two for you.
Two clocks, and you need both
This is the mechanic that makes limits feel random when they are not.Same article, same capture date. The shared-pool sentence and the two-window rule, in OpenAI's own words.Depending on your plan, usage limits may apply over a five-hour window and a weekly window. Where both apply, you need allowance remaining in both to continue.The five-hour limit determines how much usage is included in each window. A new window starts when you send your first message in Work or Codex after the previous one ends. It is not a fixed clock on the wall; it starts when you do.
The weekly limit controls how much included work you get over the weekly usage period.The consequence, in OpenAI's words: "You may reach the five-hour limit before five hours have passed, even if you still have weekly usage remaining."
That is why the wall feels arbitrary. You still see plenty of weekly allowance in Settings, so you assume you are fine, and then a single heavy task closes the five-hour door.
Two pools, and Chat is not one of them
The second confusion is which meter you are draining.Surface
Pool
Who gets Astra thereChatGPT Work
Shared Work and Codex allowance
Plus, Pro, Business Standard and PremiumCodex
Same shared Work and Codex allowance
SameChatGPT Chat (as GPT-6 Pro)
Separate Chat message limits
Pro, Business, Enterprise. Not PlusOpenAI's wording: "Work and Codex share the usage allowance included with your plan." And separately: "In Chat, GPT-6 Pro is powered by Astra and is available on eligible Pro, Business and Enterprise plans. Its message limits are separate from the shared Work and Codex allowance and vary by plan."
So running Astra hard in Codex does not eat your Chat allowance. It does eat your Work allowance, because those two are the same bucket.
One more rule that catches people mid-task: "Switching models does not restore allowance in a shared usage pool." Dropping from Astra to Luna after you have hit the wall does not open the door. It only slows the next burn.
The setting that matters more than the model
Here is the paragraph I think is the most valuable thing OpenAI has published about Astra, and it is filed under a settings heading where nobody will read it.Same article, same capture date. Read the bolded sentence twice.Lower effort does not mean lower capability across models. For example, Astra at Low effort can outperform Sol at High effort. If you've been getting good results with Sol at High, try Astra at Low or Medium as a starting point.And the warning attached to the top setting:Higher effort can use more of your allowance and does not always produce a better result.If you take one action from this page, it is that one. If Astra feels like it is draining you, check whether you are running maximum effort on tasks that never needed it. That was my problem.
My own advice lands in roughly the same place. The way I put it: use the top setting to plan the hard thing, then drop down to execute it. I hedge on how far down, somewhere between low and high, because I genuinely do not know.
The reasoning earns its price during planning. During execution it usually does not.
Did OpenAI cut the limits in September?
You will find headlines saying allowances were cut by up to 4x for heavy users, and you will find OpenAI saying Astra consumes 3 to 4 times less subscription usage on long-tail workloads. Both claims are circulating in the same week.
I am not going to pick the scarier one. I did not capture the old table, so I cannot show you a before and after, and neither can any of the pages ranking for this query.
What I can show you is the table as it stands today, which is above, and the ratio inside it: Astra is priced against your plan at somewhere between two and two and a bit times GPT-5.6 Sol.
If your allowance feels like it evaporated after the rollout, that ratio is a sufficient explanation on its own. You did not need a secret cut to burn twice as fast. You just needed to start using the new model for everything, which is exactly what everyone did.
I certainly did. My first week I ran maximum effort on questions that did not deserve it.
Resets, including the ones OpenAI handed out
There are three kinds, and they behave differently.
Banked resets. Saved to your account until used or expired. Per OpenAI: "A full banked reset refreshes your five-hour and weekly Work and Codex limits and changes your weekly reset date." You use one from Settings then Usage in the desktop app, where it shows up as something like "1 reset available" or "Full reset."
Automatic or global resets. Applied for you, announced by OpenAI, and they do not appear as a saved reset in Settings.
Purchased instant resets. Available to eligible personal Plus and Pro accounts depending on billing country. They refresh immediately at checkout, cannot be saved, and they pull your whole weekly period forward: your new week starts at your next Work or Codex request, and the next automatic weekly reset is seven days after that.
That last mechanic is worth understanding before you buy one in a panic. You are not adding allowance to this week. You are starting next week early.
And the launch giveaway was real, which is why so many people had spare resets in early September:The launch reset schedule, in OpenAI's own words. Captured September 10, 2026.
Three separate grants: banked resets on September 3 and September 4, and an automatic refresh on September 7 that did not bank anything. OpenAI attributes them to "the broader Astra launch delay," and states that individual access problems after launch do not earn you another one.
Also worth knowing before you get your hopes up: "A reset restores your allowance. It does not permanently increase your plan's limits or change how much allowance a task uses."
What a real meter looks like
Here is my own account today. ChatGPT Pro at $100 a month.My Settings then Usage and billing pane, captured September 10, 2026. Sidebar cropped.
Reading it left to right, because this is what the pages quoting leaked numbers cannot give you:Weekly usage limit: 68% left, resets September 16. That is six days of runway on a meter that read 30% left five days earlier, before the September 7 automatic reset landed.
Credits balance: $0, automatic reload off. No hidden top-up propping this up.
One banked "Full reset" left, expiring October 5. That is what remains of the launch giveaway.On a heavy prompt I can see five to ten percent happen in a single prompt. Not over a session. On one prompt.The same pane on September 5, 2026: 30% left, resetting September 7, the automatic reset OpenAI documents.
I have burned two full resets since Astra shipped. The first one was pure stupidity: I ran the highest effort setting on everything because it was new. The second went to a weekend attempt at building a Pokémon game. It literally burned two usages and I didn't even build the game. It was ugly.
It's only for the hard ones, man, that you should be using Ultra.
I have not hit a wall since. Partly because I had banked resets to fall back on rather than sitting and waiting, and partly because I stopped spending like that.
What to do when you actually hit it
In order, and be honest with yourself at step one:Check which clock stopped you. Settings then Usage tells you. If it is the five-hour window and your weekly meter is healthy, you are not in trouble, you are just early.
Wait, if the job can wait. Five hours is not a crisis. Most jobs can wait five hours.
Move the job down a model, not sideways. Luna gives you roughly 45 to 50 times the messages of Astra. Most of what you were doing did not need Astra.
Spend a banked reset if you have one and the deadline is real. Check the expiry first.
Move the job to another tool. I run Claude and Grok Bot alongside ChatGPT, and when one meter closes I do not sit and stare at it. Grok Bot in particular has been generous with resets.That last point is the real answer to "how do I stop hitting limits," and it is not a limits answer. There is no AI that does it all, and if you are running a business on this you should not rely on one. A single subscription is a single point of failure.
The one-line version
Two clocks, two pools, and Astra costs at least double GPT-5.6 Sol per message. Turn your effort setting down before you turn your spending up.
Comparing the meters across vendors? Claude usage limits explained and Grok usage limits explained are the same breakdown for the other two. If you are deciding between the $100 and $200 ChatGPT tiers, that is ChatGPT Pro $100 vs $200, and what GPT-6 Astra actually is covers the naming. More at Claude Guides.
Published and last reviewed September 10, 2026. Every allowance number is from OpenAI's help article that day, screenshotted above.
The reported September allowance cut and OpenAI's long-tail efficiency claim are both secondary reporting and are labeled as unverified in the text. I did not capture the previous table and cannot show a before and after. The meters are my own paid Pro account with the sidebar cropped, on two dates five days apart. OpenAI's figures are estimated ranges, not entitlements.
Quick answer: GPT-6 Astra is OpenAI's most capable model, released September 3, 2026, with a context window over one million tokens. It is a model, not a new app.
And there is a good chance the word "Astra" does not appear anywhere in your ChatGPT. Your account is fine. It comes down to how OpenAI named things.
I pay $100 a month for ChatGPT Pro. When I opened the model list today to write this page, Astra was not in it.
More on that in a minute, because it turns out to be the most useful thing on this page.
What it is, without the benchmark table
Astra is the model OpenAI now points at its hardest work. From OpenAI's launch post: "state-of-the-art on computer use, browsing, software engineering, cybersecurity, science, and professional work," with a context window of more than one million tokens.
OpenAI's own help center is blunter about when to reach for it. It calls Astra "Our most capable model for coding, research, analysis, and complex problem-solving," and the examples it gives are investigating a difficult bug and working through an unfamiliar problem.
Put that list in normal-person words. It does not say "answers your questions better." It says: reads a lot, goes and does things, sticks with a hard problem.
So in one line, Astra is for the jobs that take a while.
For me it is research and a sparring partner. It is good at pushing back on Claude Fable when I want a second opinion on something I already believe. And it is smart enough that the pushback is worth reading.
I have also started using it to build a game, which I will get to.
What I do not open it for is my daily content work. That still goes to Fable, because that is the one that feels like a partner rather than a very good search.
One model, three names
This is what turns a five-minute question into a forty-minute one, and nobody explains it.Where you are
What it is called thereChatGPT Work, and Codex (the developer surface, ignore it if you do not code)
GPT-6 AstraThe ChatGPT Chat tab
GPT-6 ProThe API
gpt-6-astraOpenAI's help center states the split directly: "In Chat, GPT-6 Pro is powered by Astra and is available on eligible Pro, Business and Enterprise plans. Its message limits are separate from the shared Work and Codex allowance and vary by plan. Plus includes Astra in Work and Codex, but not GPT-6 Pro in Chat."
So if you are on Plus, hunting the Chat model picker for the word "Astra," you will hunt forever. It was never going to be there.
Here is my own Chat picker on the $100 Pro plan a few days ago. No Astra anywhere in it.My own Chat picker, captured September 5, 2026, on ChatGPT Pro at $100 a month. The model is in the account. The name is not in the list.
Why you cannot find it, in the order worth checking
Now the live one. This is my Work tab today, September 10, with the model list open.My Work model list on September 10, 2026, on a Pro plan that is entitled to Astra. Default, 5.6 Sol, 5.6 Terra, 5.6 Luna, 5.5, 5.3 Codex Spark. No Astra.
I am not showing you that to claim OpenAI pulled the model. I am showing it because it is the most common thing that happens to real people in week two. OpenAI even documents the fix in its own help center, under a heading called "Update your ChatGPT desktop app."
Their instruction, which is more specific than the usual "try restarting":If Astra is missing, check for updates even if you recently installed one. Your app may need another update and a full restart.OpenAI's help center, captured September 10, 2026. A three-step procedure that exists because this happens to a lot of people.
So here's the checklist, in the order that actually fixes it:Update the desktop app, then fully quit and reopen. Then check for updates again. OpenAI says you may need a second round.
Check which tab you are in. Work and Codex offer Astra by name. Chat offers GPT-6 Pro instead.
Check your plan against the surface. Plus gets Astra in Work and Codex only.My app had crashed to an error screen minutes before I took that shot. When it came back, Astra still was not listed. So updating is a real step, not a brush-off.The state my app was in shortly before the model list above, September 10, 2026. Note which button OpenAI puts first.
When it is there, it looks like this. Same account, five days earlier, running a real job in Work:The same account on September 5, with the Work composer chip reading GPT-6 Astra Ultra. Third name, same model.
Do you have it? The short versionFree: no.
Plus: yes, in Work and Codex. Not in the Chat picker.
Pro $100 and Pro $200: yes, in Work and Codex, plus GPT-6 Pro in Chat.
Business and Enterprise: yes, with seat-level rules.I am deliberately not rebuilding the full surface-by-plan table here, because it already exists: which ChatGPT plans get Astra is the page for that question. This one is about what the thing is.
The part nobody warns you about: it eats your plan
Astra burns your included usage fast. I am on the $100 plan and I have already burned through two full resets.
That is not a vibe. OpenAI publishes estimated messages per five-hour window, and on every plan tier Astra's range is about half of GPT-5.6 Sol's. Same messages, at least twice the burn. The full table and the two clocks behind it are on GPT-6 Astra usage limits explained.
The number worth carrying around: on Plus, the bottom of OpenAI's own estimated range for Astra is five messages in a five-hour window. So think "a couple of messages" for a heavy Astra session.
That's why the setting nobody touches matters more than the model you pick. OpenAI's guidance here surprised me:Lower effort does not mean lower capability across models. For example, Astra at Low effort can outperform Sol at High effort. If you've been getting good results with Sol at High, try Astra at Low or Medium as a starting point.OpenAI's help center, captured September 10, 2026. The most useful paragraph OpenAI published about Astra, and it is buried under a settings heading.
I had heard that claim secondhand and half believed it. It is real, and it is in their documentation.
My own rule ends up in the same place, just from the other side. In my words: use the top setting to plan the hard thing, then drop down to execute it. How far down? Somewhere between low and high. I do not know.
Planning is where the extra reasoning is worth paying for. Doing the work mostly is not. Matching my "top setting" to OpenAI's effort control is my guess, not their instruction.
The full mechanics of the two clocks and three pools are in GPT-6 Astra usage limits explained.
What people are actually building with it
The word-of-mouth is people posting what they made. These are the ones that made me open the model picker. I linked the original posts so you can judge the source yourself.Tom Krcha gave Astra an old drawing of a steam train and asked for it in Blender. His post says it came back as 3,295 editable objects in a few minutes. Original post on X.Roberto Nickson fed it nine phone photos of his studio. It worked out the spatial layout and returned a walkable 3D model. Original post on X.
Three more worth your time, no screenshots because they are threads and video:KP's roundup of the early demos, compiled the day after launch with credit to each builder. The fastest way to see the range.
Min Choi's ten examples: games, 3D scenes, character models, all from prompts or images.
Riley Brown's take: his biggest moment was not visual at all. He gave Astra context on his whole business and let it plan. That matches my own use more than the game clips do.One caveat on all of it. Every one of these people is on a Pro or Business plan or the API. None of them are doing this on the $20 plan, and the next section is why.
The game thing, honestly
The hype about people building games with Astra is real. I have seen shooters. I wanted in, so I spent a weekend trying to build a Pokemon-style game with it.
The graphics it made stunned me. These looked different.Three screens Astra generated for me over the weekend of September 6. Original creatures, original names, a battle system and an overworld. This is what "impressive graphics" meant.
The game did not get built. It burned two full usage resets and what I ended up with was ugly.
I am fairly sure that is me, not the model. I did not ask the computer the right way, and the learning curve is a real curve. But I want that on the record next to the demo videos. The demo videos are all wins. The real week-two experience includes an expensive failure.
If you want to build something serious with it, my read is you want the $200 plan. At $100 you feel the ceiling, and I never felt it with GPT-5.6 Sol.
What I would do this week
If you are on Plus: open the Work tab, not Chat, and give it one hard thing you have been avoiding. A long document you never read, a mess you have not untangled. That is the shape of task Astra is for. Do not burn it on questions.
If you are on Pro: try the thing OpenAI suggests and drop your effort setting a notch. You may find you were paying double for reasoning you did not need.
And if you cannot find it at all, update the app twice before you conclude anything about your plan.
Astra is a real step up on hard, long, multi-step work. Just don't treat it like a better chatbot, or you'll spend a month's allowance on a Tuesday.
Working out which subscription this affects? Which ChatGPT plans get Astra has the surface table, GPT-6 Astra vs Claude Fable 5.1 has the benchmark read, and GPT-6 Astra vs Grok Bot covers the model-versus-teammate question. More of how I run all of this at Claude Guides.
Published September 10, 2026. The effort-level guidance, the Chat-versus-Work split and the update procedure were read and captured that day from OpenAI's help center article "Managing usage with GPT-6 Astra in Work and Codex," and the two screenshots of it above are from that capture. The allowance figures are summarized here and screenshotted in full on the limits post linked above. The launch description and context window come from OpenAI's September 3 announcement, cited as of September 4 when this site first captured it. The account screenshots are my own paid Pro plan, sidebar cropped. My missing-Astra screenshot documents one account on one day and one app build. It is not a claim about OpenAI's rollout.
Chris Alarcon 
