Why not just ask one model?
Any single model can be confidently wrong, and one answer never tells you which case you're in. consens.io sends your prompt to several models at once, keeps every original response visible, and adds a consensus layer that shows where they agree, and flags where they don't.
Does the consensus actually work?
Fair question. So we measured it: on 314 closed-book MMLU-Pro questions, consens.io's consensus was compared head-to-head against the six models it's built from. It came out first overall, and pulled clearly ahead on the questions where the models disagree, which is exactly where a single model is most likely to lead you astray. The top of the field is a statistical tie, and we say so on the page; nothing is hidden.
What it does
You enter a single prompt and receive multiple model responses next to each other. The consensus step then summarizes common ground, highlights contradictions, and gives you a compact answer as a starting point.
It is useful for research, learning, drafting, and everyday questions, but it is not a substitute for your own judgement.
How it works
- You choose which models to query and adjust the available options.
- The backend forwards your prompt to the selected providers.
- Responses are rendered side by side for direct comparison.
- A lightweight consensus step highlights overlaps and differences.
Integrated providers
consens.io is built around major model providers and supporting search tools. The exact line-up may change over time as models are added, updated, or removed.
OpenAI
ChatGPT
General reasoning, writing, coding, and structured output.
Anthropic
Claude
Long-form analysis, careful summaries, and nuanced answers.
Gemini
Fast research workflows and multimodal-capable model families.
Mistral AI
Mistral
Efficient responses and practical European model options.
DeepSeek
DeepSeek
Strong reasoning and coding at a low cost.
xAI
Grok
Conversational answers with current, real-time context.
Project and maintainer
consens.io is built and maintained by a single independent developer. It started as a private workflow for sanity-checking AI answers and gradually turned into a public side project.
There is no large company behind it, no marketing team, and no dedicated support department. The project is iterated as time and budget allow.
Data handling
- Prompts are used to call the selected AI models and display results to you.
- Login and account features are handled through authentication infrastructure.
- If you use your own API keys, they are stored locally in your browser and only pass through the server to reach the selected provider; they are never stored server-side.
- There are no embedded ad-network tracking pixels.
For full details, read the Privacy Notice. Avoid secrets, highly sensitive data, and information that normally requires professional advice.