The invented specific
A study, a statistic, a case, a function name that does not exist but fits perfectly. Ask for the source.
Is ChatGPT always right?
Is ChatGPT always right? No, and it never tells you which parts are wrong.
ChatGPT is right most of the time about most things, which is exactly what makes the wrong answers dangerous: they look identical to the right ones. It is weakest on specific facts, recent events, arithmetic in long answers, niche technical details and anything where it would rather agree with you than correct you. This page is an honest map of where it is reliable, where it is not, and how to check the difference without giving up the speed.
Free to start. Use ChatGPT and a second model on the same conversation in MultipleChat.
The honest map
Where ChatGPT is strong, and where it slips
| Ask it for | Reliability | Why |
|---|---|---|
| Explaining a well-known concept | High | Thousands of good explanations in its training. |
| Drafting, rewriting, structuring text | High | This is what it is best at; check tone, not truth. |
| Common code patterns | Good, with review | Writes plausible code fast; misses retries, time zones, edge cases. |
| Specific facts, numbers, citations | Low without a source | Confabulates specifics that fit the pattern. Always ask for a source and open it. |
| Anything recent | Low unless it searches | Training has a cut-off; prices, rules and versions change. |
| Arithmetic inside a long answer | Unreliable | It reasons about numbers as text. Recompute anything you will use. |
| Judging your own idea or code | Biased towards yes | Tuned to be agreeable. Ask it to argue against you, or ask a second model. |
Five patterns to watch for
How the wrong answers look
The stale fact
True at training time, not now. Ask "could this have changed?" and use a model that searches.
The confident calculation
A total or percentage stated with certainty in the middle of prose. Recompute it.
The agreeable review
"This looks good" about your plan or code. Ask it to attack instead, or ask another model.
The smooth gap-fill
When it does not know, it does not stop; it fills. Look for answers that get vaguer as they go.
The fix
How to check ChatGPT without slowing down
The same method works for facts, code, advice and writing. It costs one or two messages in MultipleChat because every model reads the same conversation, files and Project.
Ask a second model the same question
Switch the model from the selector and ask again; the history carries over. Pick a model from a different family: ChatGPT then Claude, or Claude then Gemini. Same-family models share blind spots.
Ask it to attack, not to agree
"Argue against this answer as strongly as you can" produces more than "do you agree?". Models are agreeable by default; you have to invite disagreement.
Read the disagreement as a map
Where the two agree, confidence is warranted. Where they differ, that is the claim, the assumption or the line of code to check. Usually it is the one that mattered.
Get a source or a test for anything you will act on
Facts get a source you open (Perplexity cites; Auto Verification on paid plans runs an independent pass). Code gets a test you run. Advice gets a third model or a person.
Keep it in a Project
The question, both answers and the sources stay together, so the next time the topic comes up the checking is already done.
Free is the start. The latest models are the difference.
Checking answers is where the latest models earn their price.
The free plan gives you the major model families and enough messages to make second opinions a habit, which is the whole point of this page. The paid plans add the latest model in each family, which disagree in more useful ways and invent less; Perplexity Sonar Pro for sourced facts; and Auto Verification, an independent verification pass that runs when factual confidence matters, without you orchestrating it.
Newer models hold your whole Project in view instead of the last few messages, reason through trade-offs instead of picking the first plausible answer, and are wrong less often and with less confidence. For the questions on this page, that is the difference between advice that sounds right and advice you can act on.
Pro from $20 a month, cancel any time. The free plan stays free.
- Your first Project and file uploads
- The major AI families to try the workflow
- A small daily message allowance
- The latest ChatGPT, Claude, Gemini, Grok and Perplexity models, all on the same Project
- Far more messages a day, so a working session does not stop halfway
- Modes where several models draft, challenge and verify each other's answers
- Auto Verification: an independent check on factual claims
- Perplexity Sonar Pro for sourced, current facts
- Collaboration modes where models draft, challenge and verify each other
Start here
Messages that test a ChatGPT answer
Same conversation, second model, or ChatGPT itself with the right question.
SourceFor each factual claim above, give a source I can open. Mark any you cannot source.
AttackArgue against your own answer as strongly as you can.
RecomputeRecompute every number in your answer step by step and show the working.
Changed?Which parts of this could have changed since your training data? How would I check?
Claude checkHere is ChatGPT's answer. What is wrong, missing or overconfident?
PerplexityIs [claim] currently true? Cite the source and its date.
Honest answers
What people ask
How often is ChatGPT wrong?
It depends entirely on the task. On explaining common concepts, rarely. On specific numbers, citations and recent facts, often enough that you should never repeat one without a source.
Is ChatGPT more accurate than Google?
Different tools. Google gives you pages to read; ChatGPT gives you a synthesis that may include invented details. Use a search-native model with citations when currency and accuracy matter.
Is Claude or Gemini more accurate than ChatGPT?
Each is stronger on some tasks and weaker on others, and it shifts with each release. The reliable move is using two and reading the disagreement. See which AI is most accurate.
Can I make ChatGPT more accurate?
Yes: give it the source material, ask for sources, ask it to mark certainty, ask it to argue against itself, and check numbers separately. And ask a second model.
Does MultipleChat use the real ChatGPT?
Yes, through the API, alongside Claude, Gemini, Grok and Perplexity in the same workspace, with the latest models on paid plans.
What is free?
ChatGPT and the other major families with a daily message allowance. The latest versions, Auto Verification and Sonar Pro are on paid plans.
Keep using ChatGPT. Check it with something that is not ChatGPT.
A second model on the same conversation, one message away. Free to start.
Also: how to fact-check ChatGPT · why ChatGPT gives different answers · which AI is most accurate