24 AUG 2026
Tingvar vs ChatGPT
The thing most people compare us against is not a product. It is a habit: open one chat window and ask the same question three ways.
Where they are ahead of us
It is already open, it costs you nothing to try, it needs no written brief, and it answers in about a second. It does hundreds of things well and this does one thing. Most people who read this page will keep paying for a general assistant afterwards, and they should.
Almost everything on our side of this comparison is either unbuilt or unused. Our client application is not started, we are in no app store, we publish no interface your own code can call at launch, and zero real human sessions have taken place. The habit needs none of that. It needs a window you already have open, and it asks you for nothing before it answers. A reader choosing on what exists today rather than on what is published should choose the window, and this page is not written to talk them out of it.
The one thing we say about the habit is also the weakest sourced claim on the site, and it belongs here rather than in the small print. One model answers in the order you ask, and each answer completes before the next begins. Source: Reproducible in any chat window. This page makes no claim about a published feature. Read on 24 August 2026. Every other comparison page cites a page the other product published; this one cites a thing you can reproduce in your own window in a minute. That is a lower standard of evidence and it is the standard we have.
There is no switching offer on this page and no migration discount. If the way you already work is producing decisions you are happy with, the honest recommendation is to carry on.
Why the column does not say ChatGPT
Every claim this site makes about another product is a fact that product publishes about itself, read from its own pages on a stated date. We have not crawled OpenAI's site, so we make no claim about a ChatGPT feature, a ChatGPT price or a ChatGPT plan, and the right hand column does not pretend to.
What it holds instead is a property of a single chat thread, which you can reproduce in your own window in a minute. That is a weaker claim than a feature grid and it is one we can stand behind.
Three prompts in one window is a different machine
Ask one assistant to be the finance view, then the engineering view, then the growth view, and you get three answers written by one reader of your plan, in the order you asked for them. None of them heard the others say it. None of them can object while it is being said. The sequence is yours to set, which means the disagreement is yours to arrange, which means it tells you what you already suspected.
In a room, the second voice objects to the first one while the first one is still talking, and the objection is aimed at the sentence rather than at a summary of it. When two of them reach opposite conclusions from the same paragraph, the assumption they price differently is the one carrying your plan's weight. That is a location, and one reader cannot give you it however many times you ask. Read the thesis
Row by row
| Tingvar | Three prompts in one chat window | |
|---|---|---|
| How many voices | Two to four, three by default, in one room | One model, answering in the order you ask |
| Who decides who speaks | The room, once per turn, from every persona's bid | You, by typing the next prompt |
| Can they interrupt each other | Yes, and the interruption is audible | No. Each answer is complete before the next begins |
| Can you interrupt | Yes. Speaking stops whoever is talking, mid sentence | You can stop a response and start again. There is no sentence in progress to cut into |
| How long a critical instruction holds | It is not an instruction. Each persona is optimising for a different thing for the whole session | Be critical relaxes back toward agreement after two or three turns |
| What separates the perspectives | What each optimises for, plus a published blind spot for each | Whichever roles you describe in the prompt, read by one model |
| Where the argument lives | Between the personas, and you listen to it | Between you and the assistant |
| Cost to try | 149 USD a month, refunded in full if you end your first session inside 5 minutes | You already have it open |
| Breadth of what it does | One thing: it argues about a written plan | Almost everything most people use an assistant for |
| Real human sessions we have published | None. Zero real human sessions have taken place | Not applicable |
Not yet produced
A static figure putting the three arrangements side by side. It is producible today and it has not been drawn. Both pages carry the same three states as a table, so the gap costs a reader the picture.
When to use each
Keep using the chat window
- You want an answer rather than an argument.
- The question has a right answer and you want it in a second.
- You are drafting, summarising, coding or translating.
- You do not have a written plan yet.
Open a room
- You have written the plan and you suspect you are too close to it.
- You want to hear the objection while you can still answer it.
- You want to know which assumption two competent readers price differently.
Questions about this comparison
How is Tingvar different from ChatGPT?
Tingvar and ChatGPT solve different problems: ChatGPT gives you one assistant optimised to be helpful, and Tingvar gives you three personas optimised to disagree with each other. You can interrupt a Tingvar room out loud and the personas can interrupt each other, which a chat window does not do because there is nothing to interrupt. Most people who use Tingvar will keep using ChatGPT, and for most of what they do that is the right choice. The comparison page states where each one wins.
How is this different from three ChatGPT tabs?
Three ChatGPT tabs give you three answers, and a Tingvar room gives you an argument, because separate tabs cannot hear each other. Nothing in tab two knows what tab one said unless you paste it there yourself, and by then you have chosen which criticism survives. Inside one chat window the instruction to be critical decays after two or three turns. In a room, one persona attacks another persona's reasoning while you listen, and you can cut in the moment either of them goes wrong.
How we compare
Every claim about another product on this site is a fact that product publishes about itself, read from its own pages on the date below. Where a product publishes nothing on a point, the cell reads not published, because an absent published fact is not an absent capability. Our own weaknesses are in the same table, in the same column style.
Compared on 23 August 2026
Sources
| Claim | Read on their own pages at | Read on |
|---|---|---|
| One model answers in the order you ask, and each answer completes before the next begins | Reproducible in any chat window. This page makes no claim about a published feature | 24 August 2026 |
| A critical instruction relaxes back toward agreement after two or three turns | Our own testing, and the argument set out on /why-disagreement | 24 August 2026 |
| Post-training optimises assistants for helpfulness and for user satisfaction | A general property of instruction tuned assistants, argued rather than measured, on /why-disagreement | 24 August 2026 |
| Tingvar median voice to voice latency of 1471 ms from 122 readings in us-central1 | Our own measurement run, published in full on /evidence | 19 August 2026 |
Right of reply
If you work at one of these companies and something here is wrong, email corrections@tingvar.com. We correct it within 1 business day and log the correction publicly.
Correction log
No correction has been requested or issued. This log is dated and it stays here whether or not it has entries.