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.
Quick answer: If your boss is offering to pay, take the money. Then spend it on capability per person rather than on an admin console.
For two to five people, three individual Pro plans cost less than three Team seats, and a Team Standard seat treats Fable exactly the way Pro does (on usage credits), so the extra $5 a seat buys admin, not model access.
Team is worth buying when billing, access control and shared projects have become a real problem, not before.
Two things the internet still gets wrong about this, both verifiable in thirty seconds: Team does not require five seats, and Premium seats are not $150.
So let's do the math nobody on the first page of results has actually done.
The short answer, by who you areYou are
Buy this
WhyTwo or three people, no IT department
Individual Pro plans
$5 per seat cheaper, same model accessSomeone whose boss will expense it
Individual plans, and ask for more
Spend on capability, not seatsHandling client material under contract
Team
Model training is none by default, not opt-outChasing expense reports around the office
Team
Central billing is the actual productNeeding shared projects across people
Team
Individual plans do not have project sharingA whole department, 10 or more
Team, mixed seats
This is where the admin genuinely pays for itselfThe math, with today's numbers
Three people. Every figure from Anthropic's pricing page, read September 5, 2026.Option
Monthly
Annual equivalent
Fable treatment3 × Pro
$60/mo
$51/mo
Usage credits3 × Team Standard
$75/mo
$60/mo
Usage credits, same as Pro3 × Max 5x
$300/mo
monthly only
Included, up to 50% of weekly limits3 × Team Premium
$375/mo
$300/mo
Included, same as MaxLook at the first two rows. Three individual Pro plans cost $15 a month less than three Team Standard seats, and the model access on both is identical.
The case against Team on this page is just subtraction.
What the internet still gets wrong
The top Reddit thread on this query is a good record of what people believed, and most of it has since changed. So read it as history, not as current fact.
The original poster, u/Abeck72, talked himself out of Team like this:"At first I thought, 'easy, I'll just get a Team plan,' but then I realized the Team plan doesn't include Claude Code. To get access, you need Premium seats... Given that, wouldn't it make more sense to just get three individual 5× accounts?"His logic made sense at the time. The starting point just isn't true anymore. Anthropic's pricing page today lists "Includes Claude Code and Claude Cowork" directly under the Team plan, and the Team column of the feature table marks Claude Code as available.
A reply from u/kondadotm had the other half of the old story:"It is absurd that Claude Code is behind a SECOND paywall on the Team plan. It is absurd, too, that the MINIMUM for the Premium seats is 5 users. Why the f? It's like 'I don't want your money if it isn't a lot of money.'"Both halves of that are now wrong. Anthropic's page reads "For teams of 2 to 150." Two.
Here is Anthropic's Team card as it actually renders today. Three of the four corrections below are visible in this one image.Anthropic's Team pricing, captured September 5, 2026. "For teams of 2 to 150", both seat prices, and "Includes Claude Code and Claude Cowork" are all in frame.
So here is the corrected scoreboard, as of September 5, 2026:The claim you will read
What Anthropic's page says today"Team requires 5 seats"
"For teams of 2 to 150""Premium seats have a 5-user minimum"
No minimum stated beyond the 2-seat floor"Premium seats are $150"
$125 monthly, $100 annually"Team doesn't include Claude Code"
"Includes Claude Code and Claude Cowork""You pick one seat type for everyone"
"Mix and match seat types"If one of those talked you out of Team, that reason is out of date. You might still not want it. Just make sure you're saying no for a reason that's still true.
What Team actually buys you: administration
My rule for this one: Team does not make Claude better. It makes Claude manageable.
The capability rows are identical. Same models, same 200K context window, same Claude Code, same Cowork. What Team adds is a different kind of thing:Central billing and administration, instead of five people expensing $20
Single sign-on and domain verification
Admin controls for remote and local connectors
Usage analytics across the organisation
Enterprise search across your team's content
Organisation-wide skills deployment
Project sharing and collaboration, which individual plans do not have
Adding seats midtermThat project-sharing row is easy to miss and matters more than it looks. On individual plans, projects are yours alone. Team is where a project becomes something a colleague can open.
And one row that a consultancy should read twice: model training is "None by default" on Team, against "Opt-out" on individual plans. If you handle client material under contract, that difference is worth more than the seat price, and it is the strongest argument on this page for buying Team early.
Fable on Team: Anthropic's own two pages disagree, and one is clearer
Slow down on this one. It's easy to get wrong, and I nearly did.
On the pricing page's feature comparison, the Fable row shows a bare No in the Team column. Read alone, that says Team seats cannot use Anthropic's most capable model at all.
That is not what happens.
Anthropic's Fable plan article is more precise, and it sorts by seat type rather than by plan:Pro plans and standard seats on Team plans: Fable "aren't included in your plan's usage limits. You can use them with usage credits."
Max plans and premium seats on Team plans: Fable is "included as a standard part of your plan," up to 50% of weekly usage limits.So a Team Standard seat behaves exactly like Pro on Fable, and a Team Premium seat behaves exactly like Max.
Which actually makes the math simpler. A Team Standard seat costs $5 a month more than a Pro plan for identical model access. You are paying that $5 for administration, and nothing else.
If you see a page telling you Team cannot touch Fable, it is reading the pricing grid and not the help article.
Take the money. Just spend it well.
Now the part I actually believe. I'm not telling you to turn down budget.
If someone told me their boss would pay for three people, I would absolutely take it. That is a no-brainer. Tooling that makes people more productive is the easiest yes in business.
To be clear, that answer is about getting the team onto Claude at all, not about which plan to buy. The "buy individual plans instead of Team seats" conclusion comes from the seat math above, not from running a Team plan myself, which I have not.
The reason is not "AI is good." It is that you can take one person and multiply them.
Here is what that looks like in my own work. If I handed an editor my video editing skill, they would save enormous time on every cut. But the point is what they do with the time they save.
Say they are editing by themselves and a long-form video takes them three to four hours. Now it takes one to two.
They just got two hours back.
And now those two hours can go into watching the analytics and working out which visuals and which hooks are actually working, and why. That is the superpower. Not "edits faster." One person who now also does the thinking nobody had time for.
So yes, spend your boss's money. My only argument is about how you pay for it: three individual plans deliver that same multiplication for less than three Team seats, and you can move to Team the day the admin becomes the bottleneck.
When Team is genuinely the right call
I have spent most of this page arguing the other way, so here's when buying it makes sense.
You have more than five people. The expense-report tax is real and it compounds. Somewhere around five or six seats, central billing stops being a nice-to-have.
Somebody has to leave the company one day. With individual plans, that person's account and its history walk out with them. With Team, an owner manages the seat.
Your contracts say something about training data. None-by-default beats opt-out when a client asks you to put it in writing.
People need to share work. Project sharing and collaboration is a Team row and there is no individual-plan workaround.
You need SSO or connector controls. These do not exist below Team at any price.
Above Team sits Enterprise, at $20 per seat plus usage billed at API rates, which adds SCIM, audit logs, role-based access and custom data retention. If you are reading this page you are almost certainly not there yet.
One user in that thread, u/frythan, pointed at the commercial terms specifically, noting that they call out that you own your content. That instinct was right, and it is the underrated reason to buy Team early if you do client work.
If you do move, use the mix-and-match rule: put your two heaviest users on Premium seats and everyone else on Standard, rather than buying the expensive tier for the whole room.
How I checked this
Every price, seat band, feature row and the Fable gap come from claude.com/pricing, read on September 5, 2026, including the Team feature comparison table. The seat math is that page's numbers multiplied by three.
I have never run or administered a Claude Team plan. I pay for Claude individually, so I can't tell you first-hand how the admin console, seat management or Team usage work in practice.
What I remember of the setup does check out against the current feature table. Each person gets their own account, and someone gets an admin layer over the top.
The Reddit quotes are dated and I have flagged them as historical rather than current. Anthropic changed the seat floor and the Premium price after those threads were written.
So should you buy it?Two or three people, no compliance pressure: individual Pro plans. $5 per seat cheaper for the same model access.
Your boss offered to pay: say yes immediately, then buy individual plans and ask for the difference in something else.
You handle client data under contract: Team, for the none-by-default training terms alone.
You need shared projects or SSO: Team. There is no workaround below it.
More than five people: Team, mixed seats, heaviest users on Premium.
Someone needs Fable inside their plan limits rather than on credits: that person needs Max, or a Team Premium seat. Both cost $100.If individual plans are the answer, the next question is which one: is Claude Pro worth it covers the $20 decision, Claude Pro vs Max covers the $20-to-$100 step, and is Claude Max worth it covers whether the top tier earns it.
If limits are the reason you are shopping, start with Claude usage limits explained.
Current plans and prices sit on the AI plan tracker.
This post is part of Claude Guides, the hub for using Claude without code.
Published September 5, 2026. Seat prices, the 2-to-150 seat band, Claude Code inclusion, the Fable row and the model-training terms all checked that day against Anthropic's pricing page, linked inline. Anthropic changes these quietly, so open the live page before you buy.
Update, September 11, 2026: OpenAI paused new sign-ups and upgrades to the $200 Pro tier on September 10, after demand for GPT-6 Astra outran its capacity. Existing $200 subscriptions keep renewing, and Pro $100, Plus, Go and the API are unaffected. No reopening date has been given, so if the verdict below points you at $200, you may have to wait. Tracked on the AI plan tracker, with OpenAI's help page.Quick answer: Probably not at $200, and maybe at $100. Pro is worth it when waiting has started costing you more than the money does, and not one day sooner.
There are two Pro tiers now, so the real question is which rung. I paid $200, dropped to $100 to fund something else, and did not miss it.
The $200 version of this question has an obvious answer for almost everybody: no. The $100 tier is the one that actually changes the math. And the difference? It's just more usage, man. Simple as that.
The short answer, by who you areYou are
Buy this
WhyAsking questions, drafting, summarising
Plus, $20
You will not hit the ceiling. Save your moneyHitting limits occasionally and you can wait
Stay on Plus
Annoying is not the same as expensiveGetting stopped mid-task on work with a deadline
Pro $100
5x Plus usage. This is the real first stepStill stopped on $100, running agent work daily
Pro $200
20x Plus. The top of the ladderWant GPT-5.6 Sol Pro
Pro, either tier
The one thing Plus genuinely cannot buyTempted by Pro but also want a second AI
Two $20 plans
Two allowances, two models. Often the better tradeThere are two Pro tiers, and the whole SERP is a year behindOpenAI's Pro tiers help article, captured September 5, 2026. The tier split is right there in plain language.
From OpenAI's Pro tiers article, verbatim:"Both Pro tiers include the same core capabilities. The main difference is usage allowance: Pro $100 unlocks 5x higher usage than Plus, while Pro $200 unlocks 20x usage than Plus."And on whether the expensive one changed:"No. The $200 Pro plan remains the highest usage tier. The $100 plan simply adds another option."So when someone writes "is ChatGPT Pro worth $200," they are answering a question about the ceiling of a product whose entry point is now $100. The step up from Plus is $80, not $180.
What the $100 actually gets you
I will give you the boring answer, because it is the true one.
It is mostly more usage. You get to use the strongest models for longer, and room to experiment without watching a meter. The real additions are the two Pro-only models, the Extra High reasoning setting, a bigger context window and expanded Codex, and those matter to fewer people than the headroom does.
That sounds like a letdown until you have been stopped mid-task. Then it is the only thing you want.
The precise version, from OpenAI's pricing comparison read on September 5, 2026:Plus, $20
Pro $100
Pro $200Usage vs Plus
baseline
5x
20xGPT-6 Astra in Chat
No
Yes, as GPT-6 Pro
Yes, as GPT-6 ProGPT-6 Astra in Work and Codex
Yes
Yes
YesGPT-5.6 Sol
Yes
Unlimited*
Unlimited*GPT-5.6 Sol reasoning levels
Medium and High
+ Extra High
+ Extra HighPro models (GPT-6 Pro, Sol Pro)
No
50/week, shared across both
200/week GPT-6 Pro, 170/day Sol ProInstant context window
54K
128K
128KReasoning context window
256K
400K
400KCodex
Yes
Expanded
ExpandedAnnual billing
none
none
noneNotice what is identical between the two Pro tiers. Everything except the size of the bucket.
And notice what you already have on $20. You get a lot on the $20 plan. You get Sol, you get Codex, you get deep research, and you get Astra in ChatGPT Work and Codex, just not in the chat box.
For the most part you can do the same things. You are just going to run out.
The one row that actually locks you out is the Pro models. Those come with published message counts rather than an unlimited badge.
On $100 it is one shared allowance of 50 messages a week across GPT-6 Pro and GPT-5.6 Sol Pro; switching between them does not give you more.
On $200 they are metered separately: 200 GPT-6 Pro messages a week, a separate 170 a day for Sol Pro, and a combined ceiling of 200 a day. Know that before you upgrade for the frontier model.
The receipt: I went down, not upMy ChatGPT app, September 5, 2026: $100 Pro, 70% of the week gone with two days to reset.
My actual history with this: I have been on all three rungs, and I moved down one.
I had the $20 plan and I literally eat my own Kool-Aid. I used it until it ran out and it just was painful, and I sat there thinking I either need to figure out how to make do with the twenty or I need to upgrade.
I eventually upgraded. I did the two hundred dollar plan at the time, but I downgraded later.
What pushed me there was not a feature announcement. I had a video editing skill that was not working, and I asked Codex to review it.
It went and built something. That was my first time using Codex and honestly I did not get the hype at first. I did not think it was good enough.
Then Sol came out and it started getting impressive. It was actually doing the thing. Actually building the skill.
I got a lot of use out of that on a $20 plan. Then I hit the limit, repeatedly, and that is when it was time to move.
Then I scaled it back down to $100. Not because Pro disappointed me. Because Grok Bot came out and I needed it, and the money had to come from somewhere.
I have not regretted it since.
The point is, the right tier is the one that leaves budget for the other tool you actually need. You gotta figure out your use cases, man.
The pain test, made specific
My rule for this is simple: let the pain tell you. Here is what that means in a normal week, because "upgrade when you need to" is useless advice.
You will not hit the limit asking it things. Rewrite this email, what should I wear, summarize this article, help me think through a decision. That is what the $20 plan is sized for and you can do it all day.
You start burning real credit when you ask it to build something. Help me make a website. Help me edit a video. Make me a video. That is a different class of work and it drains the allowance fast.
So the moment to watch for is specific: you are sitting there unable to continue on something you wanted to finish, and waiting is costing you.
Not a warning banner or a percentage. It's you, stopped on a weekday, on work that mattered.
If waiting two hours is just annoying, you are not ready. If waiting two hours means a client does not get their thing today, you are.
When Pro is definitely not worth it
The clearest reason not to buy Pro that I have seen came from u/positive on r/ChatGPTPro:"If gpt-5 thinking is already pretty good for your tasks, gpt-5 pro will be either the same or better but slower. If gpt-5 thinking is not good at your task, gpt-5 pro won't be any better."Sit with that, because it kills the most common reason people upgrade. If the model is already handling your work, paying more makes it slower, not smarter. If the model is failing at your work, paying more will not rescue it.
Pro gives you more room. It does not make the model understand your work better.
The speed cost is real too. u/petermalik01, is otherwise a fan and says the top tier is worth $200 for really complex legal problems. In the same breath they add the catch: the top model is "slow" and runs "~10–15 min per reply" in their experience.
Three other things Pro will not do for you.
Support cannot reset your limits. OpenAI states it flatly: "OpenAI Support does not reset ChatGPT or Codex usage limits." It is the most useful thing on this page.
"Unlimited" has an asterisk. Individual models keep separate allowances, and those allowances differ between the $100 and $200 tiers. A model can go temporarily unavailable on Pro.
There is no annual discount. Per the same help article, OpenAI does not support annual billing on Go, Plus or Pro. You cannot commit your way to a lower rate.
Where Plus genuinely wins
Plus is the right answer for most people reading a page called "is ChatGPT Pro worth it," and I would rather say that than sell you an upgrade.
It has Astra. It has Sol. It has legacy models, Codex, deep research, projects and scheduled tasks. Same product, smaller bucket. It is not a crippled tier.
And there is an option the comparison pages skip entirely: $20 here plus $20 somewhere else often beats $100 in one place. Two separate allowances, two different models, two sets of strengths.
That is roughly the shape my own stack has taken. I run ChatGPT with Codex, Claude, and Grok with Grok Bot, and the $200 ChatGPT tier lost its slot to the third of those rather than to anything OpenAI did.
How to try Pro cheaply
The no-annual-billing rule cuts in your favor here, so use it.
You switch tiers in Settings then My Plan. Upgrades take effect immediately with billing adjusted automatically. Downgrades take effect at your next renewal and you keep your current plan until then.
That means one month of Pro $100 costs you $80 to find out for certain. Nothing locks. If it was not the problem, you drop back at renewal.
Eighty dollars is cheaper than another month of guessing. It is also cheaper than what I did, which was jump straight past the middle rung to $200 because I assumed I would need it.
How I checked this
The two Pro tiers, the usage multiples, the support policy, the billing rules and the switching mechanics all come from OpenAI's Pro tiers help article, read September 5, 2026. Models and context windows come from chatgpt.com/pricing as it rendered in a browser the same day, since OpenAI serves those values client-side.
The tier history is mine: $20, then $200, then down to $100, where I still am. I have not run a controlled comparison of $100 against $200.
OpenAI publishes no message counts for ordinary chat, so I am not going to give you a number for how much of a week either tier absorbs; anyone who does is guessing. The Pro-model allowances above are the exception, and they are quoted exactly as OpenAI states them.The 60-second version, from my Shorts: My AI limit stopped running out (the routing loop).So is it worth it?Your work is questions, drafting and everyday tasks: no. Stay on Plus and stop reading upgrade pages.
You are building, editing or researching hard and getting stopped: yes, at $100. That is what the 5x is for.
You are stopped even on $100 and AI is part of how you work every day: yes, at $200.
The model is already failing at your task: no. More usage will not fix a model that does not understand the task.
You want Pro and a second AI tool: buy the second tool first. That is the trade I made and I would make it again.If the comparison you actually want is the tier below, that is ChatGPT Plus vs Pro. If Pro is settled and only the price is not, that is Pro $100 vs $200. And if you are weighing this against the other side of the market, Claude Max vs ChatGPT Pro is the $100-against-$100 version.
Current plans and prices live on the AI plan tracker.
This post is part of Claude Guides, the hub for using AI without code.
Published September 5, 2026. Checked that day against OpenAI's Pro tiers article and chatgpt.com/pricing, both linked inline. Prices change, so check before you buy.
Quick answer: These are not rivals, they are two different purchases. Gemini is a bundle you probably already own through a Google account, Workspace or a phone plan.
Grok is a $30 agent you deliberately buy, and what you are buying is Grok Bot running jobs while you are not there. So the real question is not "which is better." It is "do I need to add Grok."
Full disclosure before you read another line: I pay for Grok and I do not use Gemini. I don't use Gemini like that. My wife uses it. I think there's just too many options, man. That's the reality. I just don't have the bandwidth to do all of it.
I am not going to pretend that is neutral. What I will do is judge Gemini on its published facts and on the one real session I ran, show you both receipts, and tell you exactly what would make me switch.
The short answer, by who you areYou are
Pick
WhyAlready inside Google all day, Gmail and Docs
Gemini, and check what you already have
You may be paying for it and not knowWant better answers to questions you ask
Either, honestly
Both are good at this now. Not worth $30Want research reports without babysitting
Gemini free tier first
Deep Research is on the free planWant jobs that run on a schedule without you
Grok, $30 SuperGrok
This is the actual product differenceChasing the top of the benchmarks
Neither, on principle
It changes every six weeks. Pick on workflowThe two ladders, side by side
Both price lists in one place, read September 5, 2026.Grok (xAI)
Gemini (Google)Free
$0, web and X search, voice
$0, Gemini 3.6 Flash, Deep Research, Canvas, LiveEntry paid
SuperGrok Lite $10; SuperGrok $30 unlocks Grok Bot
AI Plus $4.99, Gemini in Gmail and VidsMid
SuperGrok Plus $100
AI Pro $19.99, Docs, Flow, 5 TBTop
SuperGrok Heavy $300
AI Ultra $99.99 (5x) / $199.99 (20x)The thing you are really buying
Agents that run jobs on a cloud computer of their own
A model already wired into your documentsAlready included with
nothing
Google One, Workspace, some carrier plansThe point is right there in that table. Google's ladder starts lower and is often already paid for. Grok's starts at $30 because the $30 is the agent.
The fork nobody writes about: bundle versus deliberate buy
A benchmark table is the wrong thing to compare here.
Gemini arrives. It is in your Gmail, in Docs, in your Google account, and it is bundled into Workspace plans and some carrier deals.
I have it in a browser tab right now because it comes with my Verizon subscription. I did not choose it. It showed up.
Grok does not arrive. You go to x.ai and you pay $30.
That one difference decides more than any benchmark. One of these you are already carrying, and the other has to justify a new line on your card every month.
What $30 of Grok actually gets you
From x.ai's pricing page, read September 5, 2026.Plan
Price
What it addsFree
$0
Real-time web and X search, voice mode, connectorsSuperGrok
$30/mo
Grok 4.6, Grok Bot access, connectors, higher rate limits, Expert, image and video generationSuperGrok Plus
$100/mo
Everything above, plus 1080p video, significantly higher usage across Chat, Imagine, Voice and Build, priority accessSuperGrok Lite
$10/mo
Entry paid rung: single-prompt apps, Expert mode, image and video, higher limits at regular speedSuperGrok Heavy
$300/mo
Everything in Plus, plus highest usage at the fastest speed, X Premium+ included, dedicated supportTwo things to flag.
The ladder is five rungs, not three. SuperGrok Lite at $10 and SuperGrok Heavy at $300 sit either side of the two everyone quotes. You will not find those numbers on x.ai/pricing. It lists both tiers with no price.
They only print on the signed-in subscription screen, which is why nearly every comparison you read quotes $30 and $100 and stops. I pay for Plus, so I can see the whole ladder. The full breakdown with the screenshot is here.
Grok Bot runs on a cloud computer of its own, not your laptop, and its usage is listed as its own included allowance. xAI's Grok Bot page lists "Grok Bot's own computer" and "Weekly Grok Bot usage included" as line items, and says Bots keep working "24/7, even when your laptop is closed."
Note the singular. According to xAI's docs, all of your Bots share that one computer rather than getting one each. I have seen the separate-pool claim repeated a lot. What xAI actually publishes is the line above, so that is what I will stand behind.
Two smaller things that confuse people searching "Gemini vs Grok" in either order.
The $8 X Premium thing is not this. X Premium raises your Grok usage limits inside X. It is not a SuperGrok plan and it does not include Grok Bot. The direct plans are the $30 and $100 ones above.
Grok Build is separate from Grok Bot. Build is xAI's app-building surface; Bot is the agent that runs jobs. My SuperGrok covers both, and Build is the one I have not properly played with yet.
One more thing: x.ai now trades as SpaceXAI LLC. Same Grok, same pricing page.
What Grok actually does in my week
I can speak to this first-hand, and it is why the $30 stays on my card.
I do not use Grok as a chat window. Just having another chat AI is not useful to me anymore. It is fine on the go, but for that I use ChatGPT, and sometimes Claude. For actual workflows I use Grok Bot, and that is a different product wearing the same brand.
I run three folders: growth, publishing, and intelligence.
Growth holds the scrapers. There are agents I named Shorts Hawk, Substack Hawk and Plan Watch, and their whole job is to scrape my own analytics three to four times a day.
Shortly after a post goes out, then again through the day. They watch whether anything is popping, whether something is over-indexing, and they track it across the week.
Then they drop it in a ledger.
That ledger is the actual point. It is not "here are your numbers," it is "Chris, this is working, do more of this next week." I stopped posting into the wind and started running experiments I can read back.
Publishing does something I could never automate before: it uploads my long-form YouTube videos for me. Same for my Substack notes.
Intelligence runs a news scout that scrapes X, plus an agent that watches YouTube videos from people I follow and summarizes what is worth applying.
I authenticated once and they have been running since. I had assumed each sub-agent got its own machine. According to xAI's Grok Bot docs, that is not how it works.
"All of your Bots use the same persistent cloud computer. They share files, browser sessions, and app logins," and the computer is scoped to your account rather than to a single Bot.
That is why authenticating once was enough. So do not assume the Bots are walled off from each other, because they are not.
It feels like a little mini swarm. A small team doing its thing.
I would not hand that to Gemini, because Gemini does not do it. Nothing against the model. It is just a different kind of product.
For what it is worth, people who have tested both land roughly here too. VKTR's editorial team ran all three of ChatGPT, Gemini and Grok head to head. They framed the choice the same way I do: which one fits the work rather than which scores highest.
What Gemini gets you, at every price
From Google's subscription page, verified September 5, 2026.Plan
Price
What you getFree
$0
Gemini 3.6 Flash, varying access to 3.1 Pro, image generation, Deep Research, Gemini Live, CanvasGoogle AI Plus
$4.99/mo
200 Flow credits, Gemini in Gmail and Vids, custom tool creation, 400 GB storageGoogle AI Pro
$19.99/mo
Gemini in Gmail, Docs and Vids, Flow with 1,000 credits, 5 TB, YouTube Premium LiteGoogle AI Ultra
$99.99/mo
5x higher limits than Pro, first access to Deep Think and Gemini Spark, Project GenieGoogle AI Ultra 20x
$199.99/mo
20x higher limits than ProThe correction that saves people money: Deep Research is on the free tier. Google lists it right there in the free plan's feature set. If research reports are what you wanted Gemini for, you may not need to pay anything at all.
The correction that costs people money: Deep Think and Gemini Spark are Ultra features. They are listed under the $99.99 plan as "first access," not under the $19.99 one. A lot of people upgrade to AI Pro expecting Deep Think and do not get it.
I ran one real session, and it was not bad
I do not use Gemini, so I am not going to review it. But I did sit down and actually use it for a few minutes rather than write about it from a spec sheet.
I gave it a setup prompt: structure the visual hierarchy and site architecture for a cookie showcase website, outline the pages, navigation flow and content blocks needed for launch.My actual prompt and the answer that came back, running on Flash. It answered fast.
Honestly? A little verbose. It gave me a page map table when I would have taken three lines.
Then I asked it to draw it.Same session, one follow-up. It generated an actual site mockup with the page flow drawn between screens.
That is pretty impressive. And it was fast.
So no, it is not a bad model. I want to be clear about that, because "I do not use it" and "it is not good" are different statements and the internet keeps confusing them.
I do not use it because I do not have a specific use case for it. I already have Codex, Claude and Grok.
That is already too many options for one person to run well. Add a fourth without a job for it and you end up paying for four things and getting good at none.
What would actually make me switch
I want to answer this properly instead of leaving it as a shrug, because it is the only real verdict I can give you.
I'd switch if it becomes more powerful than Fable, or just as powerful for cheaper. That is the only condition.
And I would not bet against it. I've seen Grok come from this thing I don't use and it's laughable to becoming one of my main drivers. Google could come back the same way, and the benchmarks are trending in the right direction.
I also really like some of their other products. Notebook LM is good. I just do not reach for it often.
So am I opposed to Gemini? No. I just have too many options right now, and that says nothing about the model.
Where Gemini genuinely wins
Now let me make the case for the one I do not use.
It is already paid for. If your employer has Workspace, or you have Google One, or it came with your phone plan the way it came with mine, using Gemini today costs you nothing extra. Nothing on this page beats free.
It is where your documents already are. Grok is not in your Gmail and it is not in your Docs. For a lot of office work, being one click from the file beats being a slightly different model.
Deep Research is on the free tier. Grok has nothing at $0 that competes with that.
Notebook LM is a really good product and it has no real equivalent on the Grok side.
If you already have Gemini and your work is documents, email and research, the correct answer to "should I add Grok" is probably no.
How I checked this
Grok prices, tiers and the Grok Bot inclusion come from x.ai's pricing page, read September 5, 2026. Gemini prices and the tier placement of Deep Research, Deep Think and Gemini Spark come from Google's subscriptions page, read the same day.
The Grok Bot workflow is my own setup, running since late August 2026. The two Gemini screenshots are one session I ran on September 5, 2026, with the picker set to Flash. The account comes bundled with my Verizon plan, so I have not checked which tier it resolves to.
That session is the only Gemini use behind this page. I have not tested Gemini's paid tiers, I have not benchmarked either product, and I have not compared answer quality across them at any scale. Where I have an opinion, it is labeled as mine.The 60-second version, from my Shorts: Grok builds the app from one sentence and hands you the link.So which one should you buy?You already have Gemini through Google or a carrier: use it, and do not add anything until it fails you at a specific job.
You want research reports for free: Gemini's free tier. Deep Research is included.
You were about to buy AI Pro for Deep Think: stop. That is a $99.99 feature.
You want jobs that run without you: Grok, $30. That is what Grok Bot is and nothing on Google's ladder is the same shape.
You have three AI subscriptions already: do not add a fourth until one of them stops doing a job you need.If Grok is the side you are leaning toward, what is Grok Bot covers the agent properly and is Grok Pro worth it covers the money. For the cross-vendor version of this decision, try Grok vs Claude or Claude vs Gemini.
Every plan and price I track sits on the AI plan tracker.
This post is part of Claude Guides, the hub for using AI without code.
Published September 5, 2026. Prices checked that day on x.ai and Google's own pages, linked inline. They change often, so check before you buy.
Quick answer: Use Sonnet. Anthropic's own guidance says that if you are not sure which model to pick, start there, and for writing, analysis and everyday multi-step work it is the right call.
Save Opus for problems you have already watched Sonnet struggle with. The real question is which model is the cheapest one that still gets your job right.
And the question itself is out of date. There are not two models. There are four.
That matters, because picking the heavy one by reflex is the most common reason people hit a limit and think Claude is broken.
The short answer, by the job in front of youThe job
Pick
WhySummarize this, pull the dates out, quick lookup
Haiku 4.5
Instant, and the lightest on your limitWrite it, analyze it, work through it, most things
Sonnet 5
Anthropic's stated default. Start hereYou already tried Sonnet and it missed things
Opus 5
Reasoning specialist. Costs more of your limitLong project, many connected steps, few check-ins
Fable 5.1
Heaviest, slowest, and on Pro it costs creditsYou are hitting limits constantly
Go down a model
Not up. This is almost always the fixSonnet vs Opus: start with Sonnet, and there are four models, not two
Whether you searched "Opus vs Sonnet" or "Sonnet vs Opus", the answer is the same, and Anthropic states it outright: start with Sonnet.
The other half of the answer is that the two-model question is out of date. Here is Anthropic's own table, read September 5, 2026.Model
Rate limit use
Anthropic's stated best forHaiku 4.5
Lightest
"Quick answers, summaries, and simple extraction"Sonnet 5
Moderate
"Coding, writing, analysis, and multi-step workflows... your versatile default"Opus 5
Heavy
"Deep research and complex reasoning that genuinely needs sustained thinking"Fable 5.1
Heaviest
"Your largest, most critical projects: long, complex tasks"Read the middle column, not the right one. That is a price list.
Every ranking page treats this as a quality ranking where Fable is the good one and Haiku is the compromise. Anthropic does not describe it that way. It describes four tools with four costs, and it names Sonnet as the one to reach for when you have not thought about it.
There is a fifth Claude model, Mythos, built for cybersecurity and biology research. It is restricted to vetted organisations through Anthropic's trusted access programmes, so it will not appear in your picker and it is not part of this decision.
Why you keep hitting your limit
If most people only read one section of this page, I'd want it to be this one.
Anthropic says it directly: "if you use Opus or Fable on a task that Sonnet or Haiku could handle, you may be using more of your limit unnecessarily."
Your limit is not a message count. It is a token budget running across two windows at once, a rolling five-hour session and a weekly cap.
A heavy model on a light task spends more of that budget for an answer that was not better. Anthropic does not publish how much more, and I am not going to invent a multiplier. The one number it does print is on the Effort control below.
The cleanest version of this I have seen came from a non-coder on r/claude. u/TeachMeThings3209067 wrote:"Yeah I was using Opus 4.6 frequently and hitting my usage limits. Then I realised sonnet was actually good enough for what I wanted to do which was just regular analysis... I am literally just analysing transcripts from meetings."They fixed a limit problem by going down a model. Nothing else changed.
The original poster in that thread, u/LinkDaSquid, landed in the same place:"I even asked Claude itself if I should use Opus instead of Sonnett, and it said to just keep using Sonnett. As a result, my weekly limit barely gets above like 15%."The control nobody mentions: Effort
Open your model picker and look under the model name. There is a second setting, and it changes your limit consumption on the model you already chose.My own Claude picker, September 5, 2026. Note the warning label on Max. Anthropic prints the cost right there and almost no comparison page mentions this setting exists.
Five levels: Low, Medium, High as the default, Extra, and Max. The app flags Max with "1.5x or more usage" in orange, which is Anthropic telling you the price before you pay it.
That gives you a cheaper move than switching models. If Sonnet is close but not quite getting there, raise Effort before you jump to Opus. If Opus is working but draining you, drop Effort before you drop the model.
My actual routing rule
This is how the work gets assigned in my week. It's just what I do, so don't read it as a recommendation for your setup.
Fable is for complex skills. Editing my video skill, generating content for my website, running my SEO work. Anything long and complicated, that is Fable, hands down.
Opus is my everyday driver. Making shorts for YouTube, planning, thinking something through. When I want to plan something out, that is Opus. No reason to spend Fable's budget on it.
Sonnet and Haiku I do not personally use much anymore. I'd rather be straight about that than pretend I run a routing rule I don't.
One caveat that matters if you are on Pro: I am on Max 20x. Running Fable and Opus as freely as I do is affordable at $200 and would not be at $20.
But the history is the useful part. Before Fable existed, my split was Opus and Sonnet: Opus did the planning and the main execution, and Sonnet did all the grunt work, the research, the fetch-and-summarize. That split was good. There are just so many models now that I stopped reaching for the light end.
If you are on Pro and watching your limit, that old split is better advice than what I currently do.
When the heavy model is the wrong tool
This mistake is a cheap one to avoid.
Say you are writing a script. You are not going to use Fable for that. It might nail it, but it is burning tokens for no reason, and it is not even going to be faster.
It will probably be slower.
And that's not just my feeling. Anthropic says the same thing in its own model guide: Fable "takes time to think through problems before answering, so responses take longer, and it uses the most of your rate limit." So you pay twice, once in waiting and once in your limit, for an answer a lighter model would have given you.
One exception: for biology and security topics, Anthropic states that "Claude answers these topics with Opus even if you've picked Fable." If that is your work, just pick Opus yourself instead of getting rerouted without noticing.
Where Opus genuinely earns it
I have spent this page talking you down the ladder, so let me be fair to the top of it.
Opus is not Sonnet with a bigger bill. Anthropic describes it as built for problems that need sustained thinking over time. Its own example is analyzing complex research papers: long specialised documents, picking apart the method, conclusions you will act on.
The best description of the gap came from u/roselan on r/claude:"Everyone can make a good sandwich, but Opus is the 3 Michelin stars Chef."Which is exactly right, and also exactly why you should not order from him every day.
u/Far-Pomelo-1483 put it even shorter: "Only use opus if sonnet can't do it."
The test that settles it in ten minutes
Do not take my routing rule or anybody else's. Anthropic publishes a simple test, and it's more useful than anyone's opinion.Pick a task you already know the answer to. A report you have actually read, a document you wrote.
Run it on the lighter model first.
Start a fresh chat and run the identical prompt on the heavier one.
Compare where the answers differ, not how long they are.That last instruction is Anthropic's own, and it is the part people get wrong. A longer answer feels better and usually is not. You are checking whether the lighter model missed anything you would have caught yourself.
If it did not miss anything, that task belongs on Sonnet. Remember that and stop paying for the upgrade.
What changes on Free, Pro and Max
Model access is gated by plan, and one row surprises people.Plan
Haiku
Sonnet
Opus
FableFree
Yes
Yes
No
NoPro, $20
Yes
Yes
Yes
Usage credits onlyMax 5x and 20x
Yes
Yes
Yes
Included, up to 50% of weekly limitsTeam standard seat
Yes
Yes
Yes
Usage credits onlyTeam premium seat
Yes
Yes
Yes
Included, up to 50% of weekly limitsThe Fable row is the one to notice. On Pro you can use it, but it is not inside your plan limits, so it bills separately on top of the $20. On Max it is included up to half your weekly allowance. Verified against Anthropic's pricing page on September 5, 2026.
How I checked this
The model names, rate-limit ordering, stated use cases, the Effort guidance and the biology and security behavior all come from Anthropic's model selection guide, read September 5, 2026. Plan gating and the Fable rows come from claude.com/pricing, read the same day. The picker screenshot is my own machine on that date.
I have not benchmarked these models against each other and I am not going to pretend otherwise.
Anthropic publishes no speed or quality numbers for chat, so if you read something calling this a measured contest, that's just somebody's opinion. The routing rule above is mine and I have labeled it as mine.The 60-second version, from my Shorts: Claude's 4 models in plain English (and the one you're wasting).So which one should you open?You are not sure: Sonnet. That is Anthropic's answer and it is the right one.
You do not write code and your work is documents, analysis and writing: Sonnet, and you will rarely need more.
Sonnet tried and visibly missed things: Opus, for that task specifically, not as your new default.
You are hitting your limit constantly: go down a model or drop Effort before you spend anything.
You are running one long complex build with few check-ins: Fable, and check whether your plan includes it before you start.If the limits themselves are the real problem, Claude usage limits explained covers the two ceilings, and Claude Pro vs Max covers whether more headroom is worth buying.
If you have not paid for Claude at all yet, and Opus and Fable are the reason you are considering it, start with is Claude Pro worth it. If you are new to the current lineup, Claude 5 explained covers the models themselves.
This post is part of Claude Guides, the hub for using Claude without code.
Published September 5, 2026. Model lineup, rate-limit ordering, plan gating and the Effort control checked that day against Anthropic's model guide and pricing page, both linked inline. Anthropic ships new models often, so check the picker before trusting any list of four.
Quick answer: Plus is $20 a month. Pro is three plans now: $100, $200 and $500. For most people the only step worth thinking about is the first one, $80 more for 5x the usage of Plus.
You're buying room, not a smarter ChatGPT. Plus already has the GPT-6 models in Work and Codex. Stay on $20 until the limit stops real work.
I climbed that ladder myself, $20 to $100 to $200, and $200 is what I pay today. People hear that and figure the $20 plan broke. I didn't say it broke, I just said I hit the usage.
ChatGPT Pro vs Plus: pick by what stops you, not the price tagYou are
Get this
WhyAsking questions, drafting, summarising, rewriting emails
Plus, $20
Everyday chat rarely touches the ceilingBuilding things with it: a site, a video edit, a long research job
Plus, and watch the meter
This is the work that burns the allowanceStopped mid-task by the limit every week, on real work
Pro $100
5x Plus, the first step upStill stopped on $100
Pro $200
10x Plus. Pick between the two on Pro $100 vs $200Waiting on speed in Work or Codex, and the work pays for it
Pro $500
25x Plus and the only plan with UltrafastPro is three plans now, and every step costs the same $20 per Plus
OpenAI split Pro into three monthly plans at DevDay on September 29, 2026. Its Pro tiers help article lists them and says only that "Pro 200 includes more usage than Pro 100. Pro 500 offers the highest included usage of the three plans."OpenAI's Pro tiers help article, captured October 2, 2026.
The multiples come from two OpenAI sources, not that page. The DevDay recap puts Pro 500 at "25 times the ChatGPT Plus allowance." OpenAI's Thibault Sottiaux posted the rest, relayed on OpenAI's community forum: Plus 1x, Pro 100 5x, Pro 200 10x.Plan
Price
Usage vs Plus
Price per Plus of usagePlus
$20
1x
$20Pro 100
$100
5x
$20Pro 200
$200
10x
$20Pro 500
$500
25x, plus Ultrafast
$20The math went flat. The old $200 plan was 20x, so it was the one bulk deal on the ladder, and that's the part that got cut. A bigger plan now buys a bigger bucket, not a better rate.
If you already had Pro 200 between September 22 and 10 a.m. Pacific on September 29, OpenAI says you keep the old allowance through October 29, 2026. New Pro 200 subscriptions are open again at the lower allowance, still $200.
Plus already has the new models. Pro adds room, the Pro models and a bigger window
From OpenAI's pricing comparison, read October 2, 2026:ChatGPT's pricing comparison, captured October 2, 2026.Plus, $20/mo
Pro, from $100/moGPT-6.1 Sol, GPT-6 Astra, GPT-6 Sol, GPT-6 Luna
Included
ExpandedGPT-5.6 Sol thinking levels in Chat
Medium and High
Medium, High and Extra HighPro models in Chat (GPT-6 Pro, GPT-5.6 Sol Pro)
Not included
Included, with their own allowanceInstant context window
54K (~40 pages)
128K (~250 pages)Reasoning context window
256K (~320 pages)
400K (~680 pages)Dots, OpenAI's always-on agents
Not included
IncludedUltrafast in Work and Codex
Not included
Pro 500 onlyAnnual billing
None
NoneThe thinking-level and Pro-model rows come from OpenAI's GPT-5.6 and GPT-6 Pro article. Dots come from the DevDay recap: "Available on Pro and Business Premium in eligible markets."
Plus isn't locked out of GPT-6. The help article says "Plus plans include GPT‑6 Astra in ChatGPT Work and Codex." What Plus misses is Astra in the chat box, where it shows up as GPT-6 Pro. The full plan-by-surface map is on which ChatGPT plans get Astra.
The Pro models are metered too. "A Pro subscription does not include unlimited use of the GPT-6 Pro model," OpenAI says, and on Pro $100 GPT-6 Pro and Sol Pro share one weekly allowance.
Plus limits are real, and OpenAI only puts numbers on Work and Codex
For Chat, OpenAI gives Plus no fixed number. Its Plus article says Plus "may include usage limits such as message caps, especially during high demand."
For ChatGPT Work and Codex, which share one allowance, OpenAI's pricing docs publish estimates per five hours on Plus:Model
Plus, messages per 5 hoursGPT-6 Astra
5-45GPT-6.1 Sol
15-160GPT-6 Sol
15-150GPT-6 Luna
350-3,000"Weekly limits may also apply," the same page says, and "Pro plans currently have no five-hour limit." So if you keep running out on Plus in Work, check which model you picked first. Five Astra messages can be a whole window.
When you hit the wall in Work or Codex, on either plan, you wait, switch models, or buy credits. OpenAI says Plus and Pro users who reach the limit "can purchase additional credits to continue working without needing to upgrade."
I didn't move up because something broke. I hit the usage.
This is how it went for me, months ago. I was already on the $20 plan, and I heard people talking about Codex, OpenAI's tool for building things, which comes with Plus.
My first read was that it's just like Claude Code but not as good, but then people were talking about it. Claude Code is Anthropic's version, and I was used to it.
So I figured, I'm already paying for it, so I'm gonna try it. I used it on a video editing skill I was building.
And then: holy shit, this is really good. It was pleasant to talk to. Before that ChatGPT was just not as good as Opus, man. I got so used to Opus.
Then the usage ran out. I hit the limit because I got busy building shit, so I tried a hundred, then I started really testing it and then ventured to 200.
By early September I'd dropped back to $100 to pay for Grok Bot.My ChatGPT app on September 5, 2026, back on $100.
Now I'm back on $200 because of the dots release, and I'm switching over from Grok Bot.
That's my job, though. I test new stuff all day, so I outgrow tiers faster than a normal person would. The longer version of that story is on is ChatGPT Pro worth it.
What that looks like in a normal week is the useful part. You're not gonna hit the limit just by asking chat stuff. Should I eat this with my steak, what's the weather, help me rewrite this email. The $20 plan handles that all day.
Where it burns is when you ask it to make something: build a website, edit a video, run a long research job. That's when the limit shows up.The 60-second version, from my Shorts: One Workday of AI Chat Ate 31% of a Monthly Quota.Upgrading buys more room, not an end to the limit
Here is my read on what Pro does: you're gonna still hit the limit, you're just gonna get more usage.
Even on $200, my meter was at 2% on October 2 with a reset coming. I don't buy credits. I'll wait it out.
Other people find the same thing. One r/ChatGPTPro poster in September, on paying for two 5x plans:"I decided to upgrade to 5x. Few days into that and I saw how fast I was using up my limit."Two more things the upgrade won't do.
Support can't rescue you. OpenAI's Pro tiers article: "Support cannot reset ChatGPT or Codex limits." You wait for the reset shown in your account, or you switch models.
There's no annual discount. OpenAI says Pro is billed monthly and annual billing isn't available, and the Plus article says the same. The upside: no lock-in. You change plans in Settings, then My Plan, so one month of Pro 100 costs you $80 to find out.
Plus wins for most people reading this
Not just on price. Plus has GPT-5.6 Sol in Chat, deep research, projects, scheduled tasks and legacy models. It's the same product with a lower ceiling and a few locked doors.
On r/ChatGPTPro, u/alexoff put it plainly:"For everything else - ChatGPT Plus is usually enough. Also, try better prompting and you will see much better results in my opinion that would be enough even on a Plus plan."A lot of people who think they need more compute need a better prompt.
The counterweight, from the same thread, is u/peraltz94 on why Pro paid off for them:"Having access to better models, more context, more juice, legacy models, and deep research and agent mode limits, were my factors. If I can get improved responses and save me time, and I can quantify to hours then it has enough value."That's the right test. Not "is it better," but can you count the hours it saves.
If you're stuck between two AI companies instead of two plans, Claude Max vs ChatGPT Pro is the $100-and-up version, and Claude Pro vs ChatGPT Plus is the $20 one. Not paying for anything yet? Start at ChatGPT Free vs Plus. Every current price I track lives on the AI plan tracker.
Let the wall pick your plan, not the price list
Three Pro plans make this look like a bigger decision than it is. It isn't.
My rule: let the pain be the reason you move up, not the spec sheet. If the $20 plan stops you on real work every week, try Pro 100 for one month. If it doesn't, stay put and keep the $80.
I'm on $200 and I still wait out resets. So don't buy the biggest plan to stop worrying about the limit. Buy one month of the next step when the limit is costing you work, and see if you feel it.
FAQ
What is the difference between ChatGPT Plus and Pro?
Plus is $20 a month. Pro is three monthly plans at $100, $200 and $500. The gap is mostly usage: OpenAI puts Pro 500 at 25 times Plus, and OpenAI's Thibault Sottiaux put Pro 100 at 5x and Pro 200 at 10x. Pro also adds the Pro models in Chat, a bigger context window and dots.
Is ChatGPT Pro $100, $200 or $500?
All three. Since DevDay on September 29, 2026, OpenAI's help center lists three monthly Pro plans: Pro 100 at $100, Pro 200 at $200 and Pro 500 at $500. Only Pro 500 includes Ultrafast. New Pro 200 subscriptions are open again, with a lower allowance than the old $200 plan.
What are the ChatGPT Plus limits?
OpenAI publishes no fixed number for Plus in Chat; its Plus article says limits such as message caps may apply and vary. For ChatGPT Work and Codex it publishes estimates per five hours on Plus: 5 to 45 messages on GPT-6 Astra, 15 to 160 on GPT-6.1 Sol and 350 to 3,000 on GPT-6 Luna, with weekly limits on top.
Does ChatGPT Plus get GPT-6 Astra?
Yes, but not in the chat box. OpenAI's help center says Plus plans include GPT-6 Astra in ChatGPT Work and Codex. In Chat, Astra shows up as GPT-6 Pro, which OpenAI lists for Pro $100, Pro $200, Business and Enterprise.
Can OpenAI support reset my usage limit if I hit it?
No. OpenAI's Pro tiers article says Support cannot reset ChatGPT or Codex limits. You wait for the reset time shown in your account, switch to another available model, or buy credits for the features that accept them.
Is there an annual discount on ChatGPT Plus or Pro?
No. OpenAI says Pro is billed monthly and that annual billing and paying for multiple months in advance are not available. Its Plus article says the same for Plus. That also means trying a higher tier for one month carries no lock-in.
Where this comes from
The plan facts come off OpenAI's help center, pricing page, pricing docs and DevDay recap, read October 2, 2026. The 5x and 10x figures are an OpenAI staffer's post, because the help page only gives the order.
What's mine is the story, the rule and my September billing pane. I've paid $20, $100 and $200. Never $500, never Ultrafast.
This post is part of Claude Guides, the hub for using AI without code.
Published September 5, 2026. Updated October 2, 2026 for the three Pro plans, checked against OpenAI's pages linked inline.
Quick answer: ChatGPT Pro now comes in three sizes: $100, $200 and $500. On the multiples OpenAI has given (5x, 10x and 25x the Plus allowance), every tier costs the same $20 for each Plus-sized unit of usage. A bigger tier is a bigger bucket, not a better deal. Buy the smallest one that gets you through a normal week.
I'm on $200 right now. And $500? I cannot afford it. That's where I cap. I'm not making that much money yet, so I wish I could do the 500.
In September I was on $100, after dropping from $200. After OpenAI's dots release I went back to $200, burned it anyway, and on October 2 I was sitting at 2% of my week. That story is the second half of this page.
Not sure you need Pro at all? Start with ChatGPT Plus vs Pro and come back.
Every Pro tier now costs $20 per Plus of usagePlus
Pro $100
Pro $200 (new)
Pro $200 (grandfathered)
Pro $500Monthly price
$20
$100
$200
$200
$500Usage vs Plus
1x
5x
10x
20x, through Oct 29
25xCost per 1x Plus
$20
$20
$20
$10
$20Astra Ultrafast
No
No
No
No
Yes, Work and Codex onlyBilling
Monthly
Monthly
Monthly
Monthly
MonthlyThat grandfathered column was the only discount on the ladder. It's the part that got cut.OpenAI's Pro tiers help page, checked October 2, 2026.
Know where each number comes from. OpenAI's Pro tiers page prints the prices and the order, and no multiples. The 5x and 10x come from OpenAI's Tibo Sottiaux, in his post on X on September 29: "Plus = 1X Pro 100 = 5X Pro 200 = 10X."Tibo✓@thsottiaux · Sep 29, 2026𝕏
As we increase the floor, we are changing the relative difference between plans to bePlus = 1X
Pro 100 = 5X
Pro 200 = 10X…If you have an existing plan you will keep the 20X multiplier for a bit and also receive a lot of additional credits…
View the post on X →2.5M viewsThe 25x is the number OpenAI gave for Pro 500 at DevDay, quoted from its DevDay 2026 recap. As of October 2, OpenAI's help, pricing and recap pages no longer print it. If OpenAI changes these, the math changes. The live numbers sit on the AI plan tracker.
If you're on $200, your allowance drops after October 29
OpenAI reopened $200 to new subscribers after pausing it on September 10. New sign-ups get a lower allowance than the old $200, and OpenAI says that's "to reflect our increasingly efficient models."
If you had an active Pro 200 plan at any point from September 22 through 10 a.m. Pacific on September 29, you keep the old allowance through October 29. After that you move to the lower one. Same $200.
Use the month you have left to find out what you really need:Open Settings, then Usage, and watch one normal week. Not a launch week.
If you end the week with more than half left on the old allowance, the new $200 still covers you, because it's half the size.
If you end with more than three quarters left, $100 probably covers you. A quarter of the old 20x is 5x.
Change tiers under Settings, then My Plan, before the bill renews.People are mad, and the quotes are fair. AndyAlvarezDev, an existing $200 subscriber, on OpenAI's forum: "Same price, half the product." UCA, who uses it for research and translation: "What I object to is reducing the recurring value of the $200 plan."
My take is different. I think people are complaining for no reason. If it feels the same, why are you complaining? That's just entitlement. Take what you got or don't use the model at all.
The fact behind my take: OpenAI's new GPT-6.1 Sol does near-Astra work at a fifth of Astra's token price, per The Next Web. The bucket got smaller. What you pour in got cheaper. Whether it feels the same depends on which model you pour.
What burned my $200 was Astra, and GPT-6.1 Sol fixed it
In September this page said I'd dropped to $100 and didn't regret it. That held for a few weeks. Then OpenAI shipped dots, its always-on agents, which are on Pro and not Plus. I dropped Grok Bot and went back to $200 for them.
I'm in the 200 and even then I burned it, because I was using Astra, which is good, but it's more token intensive.
OpenAI says the same thing in drier words: usage depends on the model, the context, the reasoning and the tools it runs. GPT-6.1 Sol is rolling out in ChatGPT Work and Codex, starting with Pro, and it hit my account when I had about half my week left.
I switched all my tasks to 6.1, so then it started to be normal. It lasted me a few days going hard. So I can imagine a full 100% will last me a while.
Then came October 2. I'm literally at two percent as we speak. No, I don't buy credits. I have two resets. So why would I? I'll wait it out.My ChatGPT usage screen on $100, September 10, 2026: $0 in credits, one banked reset.
That screen is from my $100 month, not today. It shows the habit: zero credits, and a banked reset waiting. The longer story of the downgrade is in Is ChatGPT Pro worth it.
$500 is for people whose AI already pays them back
Here is what the extra $300 buys over $200: 15 more Plus-sized units of usage, at the same $20 each, and Astra Ultrafast.
Ultrafast is a faster service tier of the same GPT-6 Astra, not a smarter model. OpenAI's release notes put it in ChatGPT Work and Codex. Regular Chat isn't on that list.
OpenAI's help page says it uses your allowance at 8 times the Standard rate, and buying credits on $100 or $200 doesn't unlock it. How fast the meter drains is in GPT-6 Astra usage limits.
So would I pay $500 if I could? Yes, I would do it. You just need a specific use case.
I think people who are gonna benefit from it are solopreneurs who are making real money from AI. My math is simple: if you spend $10 or $50 in usage and get $1,000 back, it makes no sense not to do it. That's not me today.
And plenty of heavy users stop lower. Robdel12 on Hacker News: "$200 was the top for me." He mostly uses Luna and can't tell the difference for what he asks.
Cheaper moves before you go up a tierChange the model before the plan. In Work and Codex, GPT-6.1 Sol is the cheap switch. That one move is what made my $200 last.
Wait for the reset. OpenAI's help page says to use another model or wait, and Support can't reset limits for you. My usage screen holds banked resets, and I use them.
Buy credits for a one-off spike. Credits cover Codex, ChatGPT Work and the Word, Excel and PowerPoint apps, under Settings, then Usage. I don't buy them, but one heavy week is cheaper this way than a bigger tier.
Go up for one month, then back down. Every tier is monthly, so a heavy build month costs one bill, not a year.
Split across two providers. Two subscriptions means two separate buckets. Claude Max vs ChatGPT Pro prices that out at $100 and $200.Let the wall pick your tier, not the price tag
I cap at $200 because that's what my money says right now, not because $500 is a bad deal. Every bucket costs the same per scoop now. You're only choosing how big.
My rule hasn't changed: let the pain tell you. Don't upgrade because you think you'll need it. I bought $200 once on that logic and didn't use it. Move up when all three are true:You hit the wall repeatedly, not once during a launch week.
No reset or model switch solves it.
The waiting is costing you real working time, and you can feel it.Open your usage screen this week, watch one normal week, and buy the smallest bucket that gets you to Sunday.
Where this comes from
The prices, dates and Ultrafast rules are from OpenAI's help center, checked October 2, 2026. The multiples are Tibo's post and OpenAI's DevDay numbers, not the help page.
The usage screen is my own account. The plan moves, the Astra burn and the 2% day are my word. I haven't used Pro 500 or Ultrafast.
Correction logSeptember 4, 2026. Published as a two-tier page: GPT-6 Pro at 50 a week on $100 and 200 on $200, and my downgrade to $100.
September 11, 2026. Added OpenAI's September 10 pause on new $200 sign-ups.
October 2, 2026. Rebuilt for three tiers after DevDay: Pro $500, the smaller new $200, the October 29 grandfather date, and the per-unit math. Removed the "4x the frontier model" claim and the 50/200 table, because OpenAI's Pro tiers page no longer prints those counts. Removed the paused banner, because $200 is open again. Corrected my own story: I went back to $200 after OpenAI's dots release, so the "I don't regret $100" lines are history now. Dropped the Business Standard line I could not re-check.Published September 4, 2026. Updated October 2, 2026 for the three Pro tiers, with the details in the correction log above.
Quick answer: these two models now cost exactly the same and are good at different things. GPT-6 Astra wins computer use, math, cybersecurity and long context. Claude Fable 5.1 wins the two broadest "how smart is it" boards, including one published by OpenAI itself.
Both are $10 per million input tokens and $50 per million output. So price isn't what decides it anymore.
Every headline yesterday said Astra swept. OpenAI's own launch table does not say that.
The rows nobody quoted
OpenAI published a comparison table on the Astra launch page with Claude Fable 5.1 in a column. Two lines in that table go to Claude.
Every number below is transcribed from that page, checked September 4, 2026. When OpenAI's footnotes put a caveat on a Claude score, I flag it in the next section.Benchmark (OpenAI's own table)
GPT-6 Astra
Claude Fable 5.1Artificial Analysis Intelligence Index v4.1.1
61.2
65.7Humanity's Last Exam (with tools)
57.2%
65.0%Terminal-Bench 4.0
57.9%
55.8%Terminal-Bench Science 0.1
64.6%
52.6%FrontierMath Tier 4 (v2)
97.6%
87.8%GPQA Diamond
96.0%
93.7%AutomationBench
41.4%
31.4%DeepSWE v1.1
74.1%
67.4%FrontierCode 1.1 Main
53.3%
50.9%ARC-AGI-2
95.0%
90.0%Computer use safety, internal (lower is better)
2.4%
9.5%The Artificial Analysis Intelligence Index is about as close as you get to one number for how smart a model is overall. OpenAI put it in its own launch table, and it hands Claude a 4.5 point lead.
Artificial Analysis, quoted independently:Sits beside GPT-5.6 Sol in Intelligence: GPT-6 Astra scores equal to GPT-5.6 Sol in the Index at 61. This is 5 points lower than Claude Fable 5.1 (max with fallback).So on the broadest board, OpenAI's newest model tied its last one.
Read the footnotes before you read the table
OpenAI ran these numbers. That does not make them wrong, but the footnotes change how you should read four rows.BenchCAD: OpenAI's footnote 5 says Claude's scores reflect three modifications to the eval.
ScreenSpot-Pro and ExploitGym: footnote 17 says the Fable scores reported are actually from Mythos, described as "Fable with fewer safeguards." That is a different model.
HealthBench Professional: footnote 11 says OpenAI independently evaluated the Claude models itself, using GPT-5.4 as grader, with Opus 5 substituted when Fable 5.1 refused.
Three science evals: footnote 12 says Claude Fable 5 and 5.1 are excluded from LifeSciBench, GeneBench Pro and MedChemBench because they refuse the majority of questions.None of that is shady. Every vendor benchmarks its own launch. But "state of the art across the board" is how the press summed it up, and the table doesn't say that.
The 99.9% asterisk
The number that traveled furthest was Astra saturating ARC-AGI-3 at 99.9%. It should count the least of anything in the launch.Two problems, both disclosed by the people who ran it:Harness. Per the ARC Prize blog, the 99.9% came from OpenAI's custom "Provider Adapter harness" at about $19K. The default ARC-AGI harness scored 62.7% at about $26K. OpenAI's own footnote 1 confirms it ran a modified responses API harness. That is a 37 point spread depending on plumbing.
No opponent. Claude Fable has no published ARC-AGI-3 result. So the biggest number of the launch has nothing to compare against.The Provider Adapter, in ARC Prize's words, "preserves opaque reasoning state between requests and uses compaction for longer conversations, allowing the model to reuse prior work." That's interesting engineering. But it doesn't tell you how smart the raw model is.
Simon Willison, writing the day it shipped, summed up the launch in one sentence: Astra "appears to score higher than Fable on most of OpenAI's self-reported benchmarks."
The key word there is self-reported.
Where Astra genuinely pulls ahead
Strip out the noise and Astra's wins are real. They just bunch up in a few areas.
Computer use. This is the big new thing in the launch. Astra scores 59.3% on Agents' Last Exam against 55.5% for Claude Opus 5, and OpenAI reports it hitting 72.6% on OSWorld 2.0 in roughly 47% less time per task than GPT-5.6 Sol.
Math and science. FrontierMath Tier 4 at 97.6% against 87.8%. Terminal-Bench Science at 64.6% against 52.6%. These are not close.
Cybersecurity. 100% on ExploitBench, 88.0% single-attempt on SRE-Bench binary reverse engineering. OpenAI says this crosses the Critical threshold in its own Preparedness Framework, so it put limits on the model at launch.
Long context. 100% on OpenAI's eight-needle test at 256K to 512K tokens, and 96.3% at 512K to 1M.
Token efficiency. This one matters more than the scores. On Agents' Last Exam, OpenAI reports Astra using about 65% fewer output tokens than Opus 5 at the highest-scoring settings.
Where Claude Fable 5.1 holds
The broad boards. Intelligence Index and Humanity's Last Exam, both from OpenAI's own table.
Coding, closer than the headline. Astra edges Fable 5.1 on FrontierCode 1.1 Main, 53.3% to 50.9%. But look one column over in OpenAI's table: Fable 5 scores 53.5%, ahead of Astra. On the Artificial Analysis Coding Agent Index, Astra posts 67.0 against 67.2 for Fable 5 and 68.1 for Opus 5. Coding is a wash.
Cost per task at equal quality. Artificial Analysis again: "Per task, the model is less than half the cost of Claude Fable 5, for the same score." That's where Astra's efficiency actually pays off. And it matters more than the trophy rows.
What I actually threw at it on day one
I pay for both stacks, and Astra is one day old as I write this.I didn't run a benchmark. I just ran my actual work, because that's the only test I trust.
The one that changed my mind about Astra was a prospecting task. I asked it to find companies in a specific niche worth reaching out to, and it went and searched forums and threads on its own without me telling it where to look.
What came back was about a month old. That kind of search usually pulls up threads from many months back.
For me that's the real upgrade: it did the digging on its own.Another Astra run from the same week, on my Pro account. I asked it to plan two weeks of paid-work experiments around my real numbers; it pulled live listings on its own and priced the options. The top of the answer has my personal figures in it, so it is trimmed. The chip in the composer is the part worth noticing: on this surface it is labeled GPT-6 Astra Ultra, not GPT-6 Pro.
Then I did the thing I would actually recommend: I ran the output back through Claude Fable to QA it, Fable rewrote the prompt, and I sent it back at Astra. The second pass looked good enough that it's now how I'd run this by default.
Now the other side. I've used Fable more, and for building it still feels more familiar and more dependable to me. But Fable 5.1 has also done some dumb things this week, mostly losing track of tools it definitely had access to. It's minor, but it's real.
My read on the scoreboard: I assumed it said Astra beat Fable outright. It doesn't, and that actually matches what I saw hands-on. Fable still feels better at the deep work. Astra feels newer at getting things done by itself.
The decision rule I would give someone today
Don't switch providers over this. Send each job to the one that's better at it.The job
OpenDeep building, writing in your voice, long careful work
Claude Fable 5.1Anything the AI should do on its own across apps and the web
GPT-6 AstraResearch and volume where you need lots of runs
GPT-6 AstraReviewing and QAing another model's output
Claude Fable 5.1Math, science, anything with a checkable right answer
GPT-6 AstraYou can only pay for one, and you are a generalist
ChatGPT (usage and resets decide it, not the score)I keep coming back to this: smartest isn't the flex anymore. A model that burns tokens to win a board is worth less to me than a leaner one that finishes the task. Both companies are getting pushed that way, and this launch is the clearest sign of it so far.
Verdict
Same price, split by job, and that split is the useful part. Astra is the better agent. Fable is still the better thinker on the broadest boards OpenAI itself published, and it's my daily driver for building.
If you were about to cancel Claude because of a headline, read the table first.
Working out which subscription this actually affects? Which ChatGPT plans get Astra, Claude Max vs ChatGPT Pro, and Claude vs ChatGPT for the everyday call. More of how I run both at Claude Guides.
Published September 4, 2026, one day after GPT-6 Astra shipped. Every benchmark figure was transcribed that day from OpenAI's launch page, and the ARC-AGI-3 harness figures from Simon Willison's write-up citing the ARC Prize blog, both linked above. These are vendor-run numbers on a vendor page and OpenAI's footnotes qualify several Claude scores; read the footnotes section before quoting any row. Benchmarks and prices move fast and this page will need re-checking.
