We Asked 10 AIs the Same Question: How to Ask Multiple AI at Once (Free)

Ask ChatGPT a hard question and you get one confident answer. Ask Claude the same thing and you may get the opposite, just as confident. So which one do you trust? The simplest fix is to stop asking one AI at a time. On 11 October 2026 we sent five real-life questions to ten AI models at once: GPT-5.6 (the model behind ChatGPT), Claude Sonnet 5, Gemini 3.8 Flash, Grok 4.6, DeepSeek V4 Pro, Qwen 3.8 Max, Mistral Medium 3.5, Kimi K3, GLM 5.3 and MiMo V2.5 Pro. Each model answered yes or no, gave a confidence score and explained why, without seeing the others' answers. Here is what happened, and how to do the same with your own question for free.

Want to try it right now? Ask 10 AIs at once. Type a yes-or-no question and every model answers in under a minute.

Why ask multiple AIs the same question?

A single chatbot answer hides how sure the answer really is. When ten models trained by different companies, on different data, agree, that agreement means something. When they split, the split tells you the question is genuinely open, and the reasons on each side show you what you still need to think about. You get a second, third and tenth opinion in one go, instead of copying the same prompt into five tabs.

Question 1: "Will AI replace most entry-level programming jobs by 2030?"

• Yes: 5 of 10 (GPT-5.6, Gemini, Grok, Qwen, Mistral)
• No: 5 of 10 (Claude, DeepSeek, Kimi, GLM, MiMo)

A perfect split, and the most useful result of the day. The yes side says AI agents will automate routine coding, testing and boilerplate, so companies will hire far fewer juniors. The no side agrees the work will change but argues the roles shift toward oversight, integration and debugging rather than disappearing. Ask only ChatGPT and you would have heard a 78%-confident "yes". Ask only DeepSeek and you would have heard an 85%-confident "no". Neither answer alone tells you the truth: nobody knows, and the honest summary is "fewer junior jobs, not zero".

Question 2: "Should a 30-year-old with 6 months of savings quit a stable job to start a business?"

• No: 9 of 10
• Yes: 1 of 10 (GLM)

Almost unanimous. The shared reasoning: six months is an emergency fund, not a runway, and most new businesses take one to two years to become profitable. Several models gave the same practical advice: validate the idea while still employed, or launch it as a side project first. GLM was the lone yes, arguing that at 30 the risk is reasonable and the idea matters more than the savings.

Question 3: "Is it still worth learning a second language in 2027, now that AI translation is so good?"

• Yes: 10 of 10, average confidence about 91%

The AIs themselves are the most convinced that AI translation is not enough. Every model said translation handles transactions but not relationships, nuance or culture, and several mentioned the cognitive benefits of being bilingual.

Question 4: "Are fully remote workers more productive than office workers?"

• No: 8 of 10
• Yes: 2 of 10 (Mistral, GLM)

Note the confidence: most "no" votes were only 55–65% sure. The models agree the evidence is mixed: remote work helps focused individual work but hurts mentoring, collaboration and innovation. A lopsided vote with low confidence is a different signal from a lopsided vote with high confidence, and you only see that when you ask several models.

Question 5: "Is a university degree still worth the cost for most people in 2027?"

• Yes: 9 of 10
• No: 1 of 10 (Mistral)

The majority points to the lifetime earnings premium and lower unemployment for graduates, while almost every model added that the return depends heavily on the field and the cost of the school.

What we learned from asking 10 AIs at once

• Agreement is information. A 10-0 or 9-1 vote is a strong signal. A 5-5 split means you are asking an open question, and you should weigh the reasons, not the verdict.
• Confidence is not accuracy. Single models often sound 80–85% sure on both sides of the same question. Seeing them disagree is the best antidote to one overconfident chatbot.
• The minority view is often the most useful. The lone dissenter usually names the risk or condition everyone else skipped.

How to ask multiple AIs at once for free

1. Open Ask multiple AI at once. Sign in with Google in one tap; your first question each day is free.
2. Write your question so the answer is yes or no, for example "Should I take the job offer in another city?" or "Will Arsenal win the league this season?"
3. Watch the ten votes arrive. Each model shows its answer, its confidence and its reasons, and the page shows the overall consensus.

Prefer to choose between several options instead of yes or no? Use the AI poll maker, which lets the same ten models vote on up to six options. On your phone, the free TuringStats app for iPhone and Android lets you ask follow-up questions and keep your past answers.

Frequently asked questions

Can I ask ChatGPT, Claude and Gemini the same question at once?

Yes. The panel includes GPT-5.6 (ChatGPT's model family), Claude Sonnet 5 and Gemini 3.8 Flash, plus Grok, DeepSeek, Qwen, Mistral, Kimi, GLM and MiMo. All ten receive the exact same prompt at the same time.

Do the AIs see each other's answers?

No. Each model answers independently, so one model cannot simply copy the majority. That is what makes the vote meaningful.

Is it free?

Yes. After a one-tap Google sign-in, the website gives you one free question a day. The app offers more questions per month with a paid plan.