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, lets you inspect their individual responses, and adds a consensus layer that shows where they agree, and flags where they don't.
Does the consensus actually work?
We publish an evaluation on 314 closed-book MMLU-Pro questions, with the tested models, method and limitations on the benchmark page. This is a limited evaluation of a particular configuration, not proof that consensus is generally more accurate. Models can share the same error; agreement scores are not probabilities that an answer is correct.
What it does
You enter a single prompt and receive multiple model responses next to each other. The consensus step combines useful contributions, highlights contradictions, and gives you one answer with its caveats. A model can add a useful detail even when the others did not mention it.
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 sends requests through OpenRouter to model endpoints and may use web-search services.
- Agent Mode builds the consensus automatically. Open Model answers to read an original response or compare two answers side by side.
- Additional AI calls produce a consensus and evaluate overlaps and differences.
Check a disagreement, then keep the conversation
In Agent Mode, Check contradictions can examine factual disputes against sources already supplied by the models. It shows the original passages and whether the evidence supports a position, depends on different conditions, or remains inconclusive. It does not fact-check every sentence or change the agreement score.
Signed-in Consensus chats save automatically. Ask a follow-up in the same conversation, reopen it from the sidebar, and optionally use Memory to carry your preferences into later chats. Memory can be reviewed, edited and switched off.
From a private chat to a public answer
Publishing is a separate action. A shared answer lets readers inspect the consensus, disagreements, consulted models and sources without an account. Explore published examples in the Consensus Library.
Consensus Watches rerun a question on a schedule and track changes over time. Public Watches and Topics show dated versions and how model positions move; readers can follow updates by email. Watches, Topics and API runs do not run the optional chat contradiction source check.
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.
Moonshot AI
Kimi
Efficient long-context answers, research, and practical reasoning.
Z.ai
GLM
General-purpose reasoning, writing, coding, and multimodal workflows.
Meta
Muse
Open-weight Glimmer for everyday runs, long-context Spark for agentic reasoning.
Project and maintainer
consens.io is built and maintained by Max Plack in Germany. It grew from a workflow for comparing AI answers into an independent product. Operator and contact details are in the Imprint.
What it costs
consens.io is currently free during early access. The product is in active development. Usage limits apply, and some features are available only to selected accounts.
Paid plans are coming. There is no subscription to buy yet. Any paid offer would require a separate express agreement; free use does not automatically become paid. Feedback and feature requests are welcome at contact@consens.io.
For more runs, connect your own OpenRouter API key in the app. Requests still pass through the consens.io server, and OpenRouter charges your account under its terms.
Data handling
- Prompts, enabled Memory and conversation context are used to call AI models and, when invoked, search services.
- Signed-in Consensus conversations and their sidebar bookmarks are saved automatically until you delete them or your account. Publishing a private conversation is a separate action.
- 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. We use Umami Cloud for usage analytics, as described in the Privacy Notice.
For full details, read the Privacy Notice. Avoid secrets, highly sensitive data, and information that normally requires professional advice.