AI answers shape what the world believes. We track when they move.

6 models · Balanced Try the demo

Agent ModeOn Check contradictionsOn Deep ThinkOff Attach

Live model pulseSee which model answers most often earn the judge's pick in real runs. View leaderboard ›

01 · Ask

Start from one prompt.

One prompt. Your models, ready to compare. Agent Mode builds the consensus. Switch Check contradictions on or off beside it; Deep Think and attachments are within reach.

consens.io

6 models · Balanced

Agent ModeOn Check contradictionsOn Deep ThinkOff Attach

Please avoid personal or sensitive data. AI models can make mistakes.

The field. One question, nothing to configure first.
The run switch. How many models answer, and who writes the consensus.
Send. The only filled control on the page.

02 · Run

One run, narrated end to end.

Six models answer in parallel, then the consensus is written and checked for contradictions. With Check contradictions on, a separate judge checks factual disagreements against existing sources from both positions. Scroll to move the run.

Question

I have to tell a client that our launch slips by two weeks. Can I send this as it is?

Preparing the question 0:00

ChatGPT · Claude · Gemini · Mistral · DeepSeek · Grok ·

Consensus answer

Send it — after two fixes, and one call the models will not make for you.

The 29th belongs in the first line, ahead of the miss and the apology.
Name the day you will confirm it, so the next update is not another surprise.
Keep the closing question, or cut it — three models each way.

A single answer would have handed you all three as settled.

6 models · 24 s · agreement 45/100 Differences 3 Model answers 6

03 · Decide

The doubt is marked in the answer.

One answer, read top to bottom — with the disagreement written into it rather than hidden behind it. Four things carry that, and you can try each one here.

01

How far apart they were

Every run opens with one number: how much the six answers actually agreed. An uninvolved model works it out, so the engine that wrote the answer is not also grading it.

45 Partial agreement 1 critical · 1 minor detail · disputed: keep or cut the line asking if the delay is a problem, 6 models compared Analysis by Gemini independent of the consensus engine
02

Who backed each claim

The small number behind a sentence is how many models supported it. Rest on it, or tap it, and it names them: who agreed, who deviated, and in what words.

Try it on the 4/6.

The new date belongs in the first line, ahead of the miss, the cause and the apology

Name the day you will confirm the 29th, so the next update does not arrive as another surprise
03

Where they pull apart

Every checked sentence is highlighted in the colour of its result: green where every model agreed, amber where they split, red where they contradict each other. The mark sits on the sentence it belongs to, so you never have to hold two documents open at once.
- Say what she actually gets on the 15th green · all of them agreed
- Name the day you will confirm the 29th amber · support is split
- Name the cause, or leave it vague grey · a difference in detail
- Keep the closing question, or cut it red · they contradict each other
04

What they actually said

Click a mark and the disagreement opens: both camps, named, with the sentence each side actually wrote and a note on what is worth checking yourself.

Try the marked sentence.

Three models read the closing line as the only sentence that gives her a way in, three as an invitation to reopen a date you cannot move.

Contradiction · critical Keep or cut the line asking if the delay is a problem?

ChatGPT, Gemini, Grok

Keep it. It is the only opening the message offers her.

a delay announced without one reads like a decision taken for her

Claude, Mistral, DeepSeek

Cut it. It asks her to rule on something you cannot change.

the honest answer to that question is yes, it is a problem

Worth verifying: decide first whether the new date is still negotiable. If it is not, do not ask a question that implies it is.

The same lens on other questions

94 “Is nuclear power a low-carbon energy source?” High agreement · nothing marked in the answer
84 “Which programming language should I learn first?” Strong agreement · one difference in emphasis, no contradiction
41 “Can I take ibuprofen while on blood thinners?” Partial agreement · one critical contradiction, marked in the answer

04 · Monitor

Know when the answer changes.

Turn any consensus into a Watch. consens.io reruns the same question on your schedule and alerts you only when the result materially moves.

Consensus Watch Active

Has the EU guidance for general-purpose AI models changed?

WeeklyMaterial changes onlyTelegram

Jul 14

Baseline72/100 model agreement

Jul 21

ChangedNew transparency requirements are now included.

34/100 movement

Consensus changedTelegram · now

The latest run now includes new transparency requirements. The core conclusion moved materially.

Create a Watch

Proof, not promises

We benchmarked the consensus.

On 314 closed-book MMLU-Pro questions, the consensus ranks first overall, and pulls clear exactly where the models disagree.

When the models disagree

Accuracy on the questions where they split · MMLU-Pro

72.1%

70.6%

69.1%

64.7%

58.8%

44.1%

39.7%

#1Highest accuracy overall and on the hard questions. The top of the field is a statistical tie.

+32ptsLead over the weakest model on questions where the answers split.

See the full benchmark

Why consens.io

Built for decisions that need a second view.

Compare

Original answers stay visible

Open Model answers to read each original response or compare two answers side by side.

Verify

Disagreement is marked in place

Where the models pull apart, the sentence itself carries the mark, instead of the doubt being smoothed into one confident answer.

Control

You choose the checks

Select models and reasoning modes. Check contradictions reviews factual disagreements against existing sources, with results beside each contradiction in Differences. Available in Agent Mode for Consensus Chat. Turn it on or off for your next run from the input toolbar or (+) menu; it does not fact-check the whole answer.

Model coverage