In this article
- 1 What it is, without the benchmark table
- 2 One model, three names
- 3 Why you cannot find it, in the order worth checking
- 4 Do you have it? The short version
- 5 The part nobody warns you about: it eats your plan
- 6 What people are actually building with it
- 7 The game thing, honestly
- 8 What I would do this week
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, which is not a bug in your account so much as a naming decision.
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.
Read that list again as a normal person. It is not “answers your questions better.” It is: reads a lot, goes and does things, sticks with a hard problem.
That is the honest one-line version. Astra is for the jobs that take a while.
For me it is research and a sparring partner. It is genuinely 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 the part that turns a five-minute question into a forty-minute one, and nobody explains it.
| Where you are | What it is called there |
|---|---|
| ChatGPT Work, and Codex (the developer surface, ignore it if you do not code) | GPT-6 Astra |
| The ChatGPT Chat tab | GPT-6 Pro |
| The API | gpt-6-astra |
OpenAI’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 single most common thing that happens to real people in week two, and OpenAI 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 the checklist, in the order that actually resolves it:
- Update the desktop app, then fully quit and reopen. Then check for updates again. OpenAI explicitly says a second round may be needed.
- 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.
Worth saying plainly: my app had crashed to an error screen minutes before I took that shot, and the recovery still came back without Astra listed. 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 version
- Free: 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 “a couple of messages” is genuinely the right mental model for a heavy Astra session.
Which is why the setting nobody touches matters more than the model you pick. OpenAI’s guidance here surprised me, and it is worth quoting:
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 lands in the same place from the other direction. In my words: use the top setting to plan the hard thing, then drop down to execute it. I hedged on how far down, somewhere between low and high, because I genuinely do not know.
Planning is where the reasoning earns its cost. Execution mostly is not. Mapping my “top setting” onto OpenAI’s effort control is my reading, 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 not benchmark tables. It is people posting what they made. These are the ones that made me open the model picker, with the original posts linked 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 generated genuinely 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, because the demo videos are all successes and the honest 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. It is not a better chatbot, and treating it like one is the fastest way to 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 at Work.
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.
Written by
Chris AlarconChris Alarcon builds Ship Lean: the boring Claude and AI setups that actually work, handed to people who don’t code. He runs his one-person operation on these systems, around a full-time job, and shares every workflow, prompt, and tool combo in public. Start with the 15 prompts he uses every day.
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