AI Roundtable by Opper AI is a platform that poses user questions to over 200 AI models simultaneously, letting them either vote independently on an answer or engage in structured debate where they challenge each other’s reasoning before reaching a consensus. The tool launched on Hacker News on March 25 as a way to aggregate model intelligence rather than relying on a single model’s output.
The platform operates in two modes. In voting mode, all models receive the same question and respond independently — the user sees a distribution of answers with confidence scores, revealing where models agree and where they diverge. In debate mode, a subset of models present arguments, critique each other’s positions, and iterate toward a refined answer. The debate transcript is visible to the user, making the reasoning process transparent.
The practical value lies in identifying questions where model agreement is high versus low. When 180 of 200 models give the same answer, confidence is justified. When models split 50/50, the question likely requires human judgment or additional context. This meta-signal — the distribution of model opinions — is information that no single model can provide about its own response.
AI Roundtable includes models from OpenAI, Anthropic, Google, Meta, Mistral, and dozens of open-source providers. The platform handles API orchestration, response formatting, and consensus calculation. Users can filter by model family, parameter count, or provider to compare specific subsets.
The tool addresses a practical problem for professionals who use AI for research, analysis, or decision support: how do you know when to trust an AI response? A single model’s confidence score is unreliable. But when 200 models independently reach the same conclusion, the probability of all being wrong is substantially lower than any individual being wrong. AI Roundtable turns model diversity from a confusion of choices into an information advantage.
