Everything you might want to know about Multi AI Summarizer
You enter one question. We send it simultaneously to several AI models, wait for their answers, then run a synthesis step that merges them into a single response — keeping points the models agree on, surfacing where they differ, and dropping repetition.
On the free tier: Google Gemini, Cohere, Mistral, and Meta's Llama 3.3 70B (served by Groq and Cerebras). Qwen, OpenRouter (DeepSeek), and GitHub Models (GPT-class) are optional free extras. Premium models — ChatGPT, Claude, and Perplexity — can be enabled with your own paid key.
Yes. The default models run on free-tier AI APIs, and the Service is supported by ads and optional donations. There is no signup required to use the default models.
Free-tier models have usage limits and can stop mid-response. When that happens we build the summary from the models that finished, so you still get an answer.
Often, yes — for factual and reasoning questions. When several independent models converge on the same answer, your confidence should go up; when they diverge, that is your signal to dig deeper. It is the same "ensemble" idea that improves accuracy in machine learning.
No. Your questions and the AI answers are processed in memory for your session and are not saved to any database — there is no history tied to you. (A short-lived in-memory cache speeds up repeated identical questions; it is not personal and clears when the server restarts.) If we add user accounts in the future, we will store only what is needed for your account and update our Privacy Policy accordingly.
Yes — code questions get syntax highlighting and copy buttons, and the synthesis preserves code blocks from each model.
Yes — attach PDFs, Word/Excel documents, or text files with the 📎 button and they are sent as context with your question.
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