This GPT-6 review started life as a GPT-5.5 review, and that tells you how fast OpenAI ships. Since GPT-5.5 launched in April, the top ChatGPT model has changed three times. So instead of another benchmark recap, I rebuilt this page around the questions that decide your money: which new model you get, where it shows up, and whether it is worth $20 a month.
⚡ Short answer: GPT-6 is worth paying for if you run long research, coding or multi-file work, and ChatGPT Plus at $20 a month is the right entry point. Expect Astra and 6.1 Sol in ChatGPT Work and Codex first, with limited Astra usage on Plus. For everyday chat, the free GPT-5.6 Luna still does the job.
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What is GPT-6?
Short answer: GPT-6 is OpenAI's newest model family, released September 3. The flagship, GPT-6 Astra, is built for long agent tasks: coding, research and operating software on its own. GPT-6.1 Sol followed on September 29 as a cheaper model that gets close to Astra on several tasks.
The naming is the first hurdle, so here is the family in one place. OpenAI now uses a model name plus a codename for the size of the job:
- GPT-6 Astra: the most capable model, aimed at long multi-step work, computer use and software engineering. ChatGPT Pro and business plans also get a heavier Astra Pro setting.
- GPT-6.1 Sol: launched at OpenAI's DevDay as the value pick, at roughly a fifth of Astra's token price.
- GPT-6 Sol and Luna: lighter options in the same family that OpenAI's pricing page lists for Plus and Pro.
- GPT-5.6 Luna: not part of the new family, but the model Free users chat with today.
One release didn't happen. OpenAI cancelled a planned GPT-6.1 Astra the day before DevDay after it failed internal safety tests, and pushed 6.1 Sol out instead. Astra itself is still available.
Core distinction: It's a family, not one model. Astra is the power option, 6.1 Sol is the price-performance option, and Free users are still on the GPT-5.6 line.
What changed since GPT-5.5?
GPT-5.5 was the model this page first reviewed. Since then OpenAI shipped the GPT-5.6 family in July, then Astra in September. The useful comparison is Astra against GPT-5.6 Sol, the model it replaced at the top of ChatGPT.
| Benchmark (OpenAI-reported) | What it measures | Astra | GPT-5.6 Sol |
|---|---|---|---|
| OSWorld 2.0 | Operating a computer to finish tasks | 72.6% | 65.7% |
| ScreenSpot-Pro | Reading app interfaces | 92.7% | 76.9% |
| AutomationBench | Business workflow automation | 41.4% | 18.1% |
| MRCR v2, 512K–1M tokens | Finding facts in huge inputs | 96.3% | 73.8% |
| HealthBench Professional | Clinical-style answers | 63.4% | 60.5% |
Two rows stand out for everyday users. The jump on AutomationBench says Astra is much better at chaining steps in business software, and the long-context score says it loses far less detail when you feed it a big folder of documents.
The smaller gap on GPQA-style science questions matters too: OpenAI's own chart puts every top model between 92.6% and 96% there. If your work is short, factual Q&A, the upgrade won't feel like a different product.
Core distinction: The gains are in doing, not knowing. Agents, long documents and computer use improved the most; quick answers barely changed.
Which ChatGPT plan gets GPT-6?
Short answer: Plus ($20 a month) is the cheapest plan with GPT-6. Free and Go don't include any of the new models. Pro starts at $100 a month with three usage tiers and Pro reasoning powered by Astra. On Plus, Astra arrived in ChatGPT Work and Codex before regular chat.
| Plan | Price (USD/mo) | New-model access | Where it shows up |
|---|---|---|---|
| Free | $0 | None (chats on GPT-5.6 Luna) | Chat |
| Go | $8 | None | Chat |
| Plus ⭐ | $20 | Astra (limited), 6.1 Sol, 6 Sol, 6 Luna | Work and Codex first; check Chat picker |
| Pro | From $100 | Expanded Astra, Astra Pro | Chat, Work, Codex |
| Business / Enterprise | Per seat | Astra, set by your admin | Chat, Work, Codex |
Prices and model lists come from OpenAI's ChatGPT pricing page, checked October 4. The page renders the dollar amounts with JavaScript, so I matched them against independent price trackers.
Why Plus users can't always find Astra
ChatGPT now has three areas: regular Chat, ChatGPT Work for longer agent tasks, and Codex for code. During the Astra rollout, OpenAI's documentation said Plus gets Astra in Work and Codex, with a limited allowance and optional paid credits for more. 6.1 Sol launched the same way, in Work, Codex and the API, but not yet in Chat.
So if you open the usual chat window and only see GPT-5.6 Sol, your plan isn't broken. Switch to Work at the top of the app and look there.
Outside the US, prices shift. Plus costs €23 a month in Germany, and Pro starts at €103, so expect a few euros more than the USD price across the EU once VAT is added.
Core distinction: Paying for Plus gets you the new models, but mostly through Work and Codex. Regular chat is the last place it lands.
GPT-6 Astra vs GPT-6.1 Sol: which one should you use?
Short answer: Use 6.1 Sol by default and switch to Astra for the hardest jobs. OpenAI reports that 6.1 Sol matches Astra on its DeepSWE coding test at about a fifth of the cost, and lands within 2.1 points of Astra on OSWorld 2.0 computer use.
| API price per 1M tokens | Input | Output | Notes |
|---|---|---|---|
| GPT-6 Astra (standard) | $10 | $50 | Batch $5 / $25 · Fast mode $20 / $100 |
| GPT-6.1 Sol | $2 | $10 | Cached input $0.10 |
| GPT-5.6 Sol (previous flagship) | $5 | $30 | Still listed for Plus and Pro |
Astra also charges more on long prompts: past 272K input tokens, standard pricing rises to $20 input and $75 output per million.
My cost math: one research report
I priced a typical job I'd hand to an AI: a research report built from about 20,000 tokens of source material, with a 4,000-token answer. At API rates, that one report costs:
| Model | Cost per report | Reports per $20 |
|---|---|---|
| Astra | $0.40 | 50 |
| GPT-5.6 Sol | $0.22 | 91 |
| 6.1 Sol | $0.08 | 250 |
The point isn't that you should use the API. It's that Astra is a premium tool, and OpenAI's own pricing tells you to save it for the jobs where its extra accuracy pays off. If you want to see what your whole AI stack costs per month, my free AI subscription cost calculator totals it in a minute.
Core distinction: Astra is for the hardest five percent of tasks. For everything else, 6.1 Sol gives you most of Astra's ability for a fifth of the price.
Is Astra better than Claude and Gemini?
Short answer: Not across the board. In OpenAI's own launch charts, Astra leads on computer use, long-context retrieval and coding agents, while Anthropic's Claude Fable 5.1 scores higher on Humanity's Last Exam and the Artificial Analysis Intelligence Index. Google's Gemini 3.8 Flash sits within a point of Astra on DeepSWE.
| Benchmark (OpenAI's chart) | Astra | Claude | Gemini 3.8 Flash |
|---|---|---|---|
| OSWorld 2.0 (computer use) | 72.6% | 70.2% (Opus 5) | — |
| ScreenSpot-Pro | 92.7% | 87.3% (Fable 5) | — |
| DeepSWE v1.1 (coding) | 74.1% | 73.7% (Opus 5) · 67.4% (Fable 5.1) | 73.8% |
| Humanity's Last Exam, with tools | 57.2% | 65.0% (Fable 5.1) | — |
| AA Intelligence Index v4.1.1 | 61.2% | 65.7% (Fable 5.1) | — |
Read this table with one caveat: a vendor picks the benchmarks it shows. Even so, OpenAI's own chart concedes two broad reasoning tests to Claude, which tells you the race is close.
In practice, I use Claude daily for writing and research, and I covered that setup in how I use Claude AI every day. If your work is mostly research with sources, my Perplexity vs ChatGPT comparison is the better next read.
Core distinction: Astra wins when the job is doing things across tools. Claude still leads on hard reasoning exams. Pick by task, not by headline.
Who should pay for GPT-6?
For most solopreneurs and creators, the decision comes down to how often you hand ChatGPT a multi-step job rather than a single question.
✅ Pay for Plus if you…
- Build reports or briefs from many sources each week
- Work with long PDFs, contracts or spreadsheets
- Use Codex or want an agent to finish tasks in your apps
- Already pay for Plus: the upgrade comes at no extra cost
❌ Stay where you are if you…
- Mostly ask short questions or draft quick messages
- Use ChatGPT a few times a week, not daily
- Already pay for Claude or Gemini and are happy with it
- Need it in regular chat today, not in Work or Codex
Consider Pro only after a month on Plus. If you hit the Astra limit in Work or Codex every week, the jump to $100 starts to make sense. If you don't, Plus covers you.
If you're ready, ChatGPT Plus is the plan I'd start on. My daily ChatGPT prompts guide shows how to get value from it in week one.
Where do the new models fall short?
The new family is strong, but the rollout has rough edges worth knowing before you pay.
- A messy rollout. Paying users waited days for Astra, and Sam Altman himself called the launch messy. OpenAI handed out usage resets to make up for it.
- Not in regular chat yet. On Plus, both Astra and 6.1 Sol showed up in Work and Codex first. If you live in the chat window, you may not see the new models at all.
- Tighter guardrails. Astra is the first OpenAI model rated Critical for cybersecurity under its Preparedness Framework, so ChatGPT adds extra monitoring. Expect more refusals on anything security-adjacent.
- Harder to audit. OpenAI says Astra's written reasoning is harder to monitor than GPT-5.6 Sol's. For sensitive work, check outputs yourself.
- A short shelf life. OpenAI shipped GPT-5.5, GPT-5.6, Astra and 6.1 Sol in under six months. Buy for your workflow, not the version number.
OpenAI keeps a running log of model changes on its model release notes page. It's the fastest way to see what moved before you change plans.
Astra shipped with a Critical cyber rating and a cancelled follow-up. Suleyman's book explains why capability and containment now move together, and what that means for the tools you pay for.
Get the book →My GPT-6 review verdict
This is the biggest step OpenAI has shipped this year for people who give AI real jobs. Astra is better at using software, holding long documents and finishing multi-step work than anything OpenAI had before.
For most readers, though, the smart move is quieter: get Plus, use 6.1 Sol for daily work in ChatGPT Work, and save Astra for the hard tasks. Stay on Free if your use is casual, and look at Claude if writing and deep reasoning matter more than agents.
I'll update this GPT-6 review when Astra reaches regular chat on Plus, or when the next model lands, whichever comes first.
Frequently Asked Questions — GPT-6 Review
What is GPT-6?
+It is OpenAI's newest model family. Astra is the flagship for long agent tasks, coding and computer use, and 6.1 Sol is a cheaper follow-up that gets close to Astra on several coding tests. GPT-6 Sol and Luna round out the family.
Is GPT-6 free on ChatGPT?
+No. OpenAI's pricing page lists none of the new models on the Free or Go plans. Free users chat with GPT-5.6 Luna, and GPT-6 starts on Plus at $20 a month.
Is Astra included in ChatGPT Plus?
+Yes, with a catch. Plus includes Astra and 6.1 Sol, but reports from the rollout show them landing in ChatGPT Work and Codex first, with limited Astra usage inside the Plus allowance. Check your model picker before assuming it is in regular chat.
What is the difference between GPT-6 Astra and GPT-6.1 Sol?
+Astra is the most capable model; 6.1 Sol is the value pick. In the API, Astra costs $10 per million input tokens and $50 per million output tokens, while 6.1 Sol costs $2 and $10. OpenAI's numbers put 6.1 Sol level with Astra on its DeepSWE coding test.
How much does GPT-6 cost in the API?
+Astra costs $10 per million input tokens and $50 per million output tokens on the standard tier, with a cheaper batch tier and a pricier fast mode. 6.1 Sol costs $2 input and $10 output per million tokens.
Is Astra better than Claude?
+It depends on the task. In OpenAI's own launch charts, Astra leads on computer use and long-context retrieval, while Claude Fable 5.1 scores higher on Humanity's Last Exam and the Artificial Analysis Intelligence Index. These are vendor-reported numbers, so test both on your own work.
Should I upgrade from GPT-5.5 to GPT-6?
+If you already pay for Plus, you don't upgrade anything: the new models are part of the plan as it rolls out. If you are on Free, upgrade only if you run long research, coding or document work every week. Casual chat runs fine on GPT-5.6 Luna.
🤖 Get more from the model you pick
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