Heimstaden Turns To ChatGPT Enterprise And Codex For Property Management
Heimstaden, a European residential landlord, has adopted OpenAI's ChatGPT Enterprise and its Codex tool across parts of its property management operations.
OpenAI · Product data
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Everything this site holds about ChatGPT, on one page: whether it is working, what it costs, what its API charges, and what has changed. Every figure below was read from OpenAI's own pages, and every block says when. Where OpenAI publishes nothing, this page says so instead of estimating.
Download the data behind this ChatGPT pagestatus JSONstatus CSVplans JSONplans CSVpricing JSONpricing CSV
Operationalread
OpenAI describes it as: All Systems Operational
No incidents open at the time in the stamp. Full status detail and incident list
Ninety days, one cell a day
Source: status.openai.comRead Single sourceHistory
ChatGPT Plus costs $20.00 a month, read from learn.chatgpt.com/docs/pricing on . OpenAI's published list prices for ChatGPT are below, with each limit in the vendor's own wording. A cell reading "Not published" means OpenAI prints no figure for it, which is a fact worth as much as a number.
| Plan | Monthly | Yearly per month | Context | Models |
|---|---|---|---|---|
| Freeindividual | $0.00 | Not published | Not published | Not published |
OpenAI publishes no limits for this plan. Read from OpenAI's ChatGPT/Codex docs pricing page (learn.chatgpt.com), the only official OpenAI page that served its content to our fetcher on 2026-09-05; openai.com/chatgpt/pricing and help.openai.com returned HTTP 403. That page lists no per-model limits for the Free plan and does not name its models, so those fields are empty rather than guessed. | ||||
| Goindividual | $8.00 | Not published | Not published | Not published |
OpenAI publishes no limits for this plan. Source page publishes the price but no per-model limit row for Go and does not name its models. help.openai.com article 11989085 (What is ChatGPT Go) could not be fetched (HTTP 403). | ||||
| Plusindividual | $20.00 | Not published | Not published | GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, GPT-5.5, GPT-5.4, GPT-5.4 mini |
Limits published for Plus
Limits are the "local messages per five-hour period" table on OpenAI's Codex pricing page; they describe Codex usage drawn from the ChatGPT plan allowance, not general chat message caps. Models listed are the model rows of that table, which is the only official per-plan model list our fetcher could read. | ||||
| Businessteam | $25.00 | $20.00 | Not published | GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, GPT-5.5, GPT-5.4, GPT-5.4 mini |
Limits published for Business
Per user. Enterprise and Edu are "Contact sales" on the same page and are therefore not listed. | ||||
| Pro (5x)individual | $100.00 | Not published | Not published | GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, GPT-5.5, GPT-5.4, GPT-5.4 mini |
Limits published for Pro (5x)
The page shows the Pro card as "From $100/month" and the limits table column "Pro 5x". See Plus notes for what "local messages" means. | ||||
| Pro (20x)individual | $200.00 | Not published | Not published | GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, GPT-5.5, GPT-5.4, GPT-5.4 mini |
Limits published for Pro (20x)
Limits table column "Pro 20x". See Plus notes for what "local messages" means. | ||||
Vendor billing wording
ChatGPT plans:Source: learn.chatgpt.com/docs/pricingVerified Single sourceHistory
US dollars a month
Paying starts at $8.00 a month for Go and runs to $200.00 for Pro (20x).
Four of these plans carry limits OpenAI publishes and two carry none. A tier with no published allowance is a price without a promise; the tiers with stated ranges are the ones you can plan around.
List prices per one million tokens, exactly as OpenAI prints them. This is what you pay to send text to the model yourself, which is a different product from the subscription above and is billed by the word rather than by the month.
| Model | Input | Output | Cached input | Context | Max output |
|---|---|---|---|---|---|
| GPT-5.6 Lunagpt-5.6-luna | $0.20 | $1.20 | $0.02 | 1.05M | 128K |
| GPT-5.4 nanogpt-5.4-nano | $0.20 | $1.25 | $0.02 | 400K | 128K |
| GPT-5.4 minigpt-5.4-mini | $0.75 | $4.50 | $0.075 | 400K | 128K |
| GPT-5.6 Terragpt-5.6-terra | $2.00 | $12.00 | $0.20 | 1.05M | 128K |
| GPT-5.6 Solgpt-5.6-sol | $4.00 | $20.00 | $0.40 | 1.05M | 128K |
| GPT-6 Astragpt-6-astra | $10.00 | $50.00 | $1.00 | 1.05M | 128K |
Notes on these rows
OpenAI prices:Source: developers.openai.com/api/docs/pricingVerified Second sourceHistory
US dollars per 1M input tokens
Inside one vendor the spread is the story: GPT-5.6 Luna costs $0.20 per million input tokens and GPT-6 Astra costs $10.00. Choosing the model matters more than choosing the vendor.
A million tokens is roughly three quarters of a million words of English, so a single question costs a fraction of a cent. Bills grow when the same context is sent again and again, which is what an agent or a long conversation does. That is why the cached input column is the one to read before committing to a model here.
The questions people ask about ChatGPT, answered in plain English, with the numbers on this page and the sources they came from.
AI text detectors can flag patterns associated with machine-written text, but their score is not proof of authorship. They can miss AI text and accuse human writers. OpenAI withdrew its own classifier for low accuracy, and published research shows paraphrasing can sharply weaken several detection methods. Use a score only as a reason to review evidence.
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Start ChatGPT with one clear task, provide the needed context and state the form of the answer you want. Check important claims against the cited source, refine the request in the same chat, and begin a new chat when the subject changes. Do not paste confidential material without reviewing your account's data controls.
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A good AI prompt names the task, supplies relevant context, states constraints and describes the output you want. Add an example when format or judgment is hard to explain. Then inspect the result and revise one weakness at a time. Clear evidence and a review step matter more than clever prompt phrases.
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Read an LLM leaderboard by checking the task, dataset, metric, model version and test conditions before the rank. Look for uncertainty and possible training-data overlap, then ask whether the test resembles your work. A one-point lead on one benchmark is evidence about that setup, not proof that a model is best for everyone.
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The OpenAI status page tells you whether OpenAI has acknowledged a broad incident affecting ChatGPT, APIs, Codex or another listed service. It does not test your account, browser, network, region or exact feature. Match your symptom to the named component and time, then run local checks if no matching incident appears.
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An AI token is a small piece of text that a model reads or writes. It can be a whole short word, part of a longer word, punctuation or a space. Token counts matter because they set how much fits in a model's context window and how much an API request costs.
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Plus costs $20 a month and buys three things the free plan does not clearly give you: OpenAI's newest and most capable model, published usage allowances instead of unstated ones, and enough room to lean on ChatGPT for real work rather than occasional questions.
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A context window is the amount of text a model can hold in mind at once, measured in tokens. On the OpenAI, Anthropic and Google pages this guide reads, published windows run from 200,000 tokens up to just over a million. When a conversation outgrows the window, the model starts losing the beginning, which is why long chats drift.
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Every change we have logged at ChatGPT, newest first, each with OpenAI's own page as the receipt.
Heimstaden, a European residential landlord, has adopted OpenAI's ChatGPT Enterprise and its Codex tool across parts of its property management operations.
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AI Journey is independent and is not affiliated with OpenAI. Every figure here is read from pages OpenAI publishes, and the page and time are printed beside it.