Moa – synthesize or debate across frontier models

Moa launches a multi-model AI platform that runs Claude, GPT, and Gemini in parallel on every query, cross-examines their reasoning, and synthesizes a single verified answer. The service targets researchers and analysts who need to avoid hallucinations and fabricated citations common in single-model outputs.

Three models. One answer. Run Claude, GPT, and Gemini on every question in parallel — cross-examine their reasoning, verify divergent claims, and get one definitive response. No credit card required Use cases Each color represents a different model. Where they overlap, they agree. The final answer shows you exactly who contributed what. Pick a question, then press send to run it A single model can confidently hallucinate a citation, miss a critical angle, or lead you down entirely the wrong path. Moa runs three frontier models independently, then an aggregator cross-examines their answers and verifies the claims they make. Not three answers. One answer that earned its confidence. How it works Three models. Three independent answers. One synthesis. Your question goes to Claude, GPT, and Gemini simultaneously. Different training, different reasoning styles, different knowledge — three independent perspectives from a single prompt. A synthesis model evaluates all three responses on merit alone — identifying consensus, surfacing contradictions, and flagging claims that need verification. The strongest reasoning is combined into a single response. Divergent claims are verified. You see exactly which models contributed what — and where they disagreed. Pricing 5 free queries included, follow-ups count too. Paid plans unlock ongoing access. 5 free queries with lightweight models, follow-ups included, then upgrade for full access. Frontier multi-model analysis for serious research, strategy, and synthesis without compromise. Maximum reasoning depth for complex, high-stakes problems that demand logic and precision. Blog Within nine months, three of the Big Four shipped reports with AI-fabricated citations. Here is exactly how it happened, why internal review did not catch it, and the pre-delivery checklist that would have. Analysts already use ChatGPT in deal work. Here is what accuracy benchmarks actually show, the fabrication incidents on record, and a verification workflow for AI-assisted due diligence. Courts have sanctioned dozens of lawyers for citing cases that AI invented, with fines now past $100,000. Here is the full sanctions record and a verification workflow that catches fabricated citations before you file. FAQ By default we pick the model best suited for synthesis, drawn from the same frontier models in your plan tier — Pro subscribers get a Pro-tier synthesizer, Max subscribers get a Max-tier one. If you'd rather decide for yourself, Settings lets you choose which model synthesizes the final answer and moderates in Debate mode . Leave it on the default and you get our recommended pick without having to think about it. For most people, Pro is all you need — and may even be the better choice. The Pro models are fast, extremely capable, and well suited for research, fact-checking, and everyday analysis. Max is designed for tasks that genuinely require deep reasoning and extended thinking: complex logic problems, multi-step analysis, or high-stakes decisions where you want maximum depth. If you're unsure, start with Pro. You could — but then you're the synthesizer. You'd need to read three full responses, mentally compare them, spot contradictions, and decide which reasoning to trust. Moa does this automatically with a dedicated aggregation step backed by peer-reviewed research https://arxiv.org/abs/2406.04692 on multi-model synthesis. The result is faster, more consistent, and catches things you'd likely miss when scanning three responses side by side. All three models run in parallel, so the first phase takes about as long as a single model response. The synthesis pass adds a few extra seconds on top — it's a lightweight aggregation step, not a full research pass. Total response time is roughly comparable to a normal chat response, plus a short wait for the synthesizer to do its work. Yes. We do not sell your data or use your conversations for advertising, and no conversation data is used for model training — by us or by the AI providers we use. We do store conversations and limited usage and synthesis metadata so we can run, secure, and improve Moa, including giving you history and understanding how the models agreed or differed. You can request full deletion of your account and data at any time. For full details, see our Privacy Policy /privacy . That's when Moa is most valuable. The synthesizer evaluates each position on the strength of its reasoning, not on majority vote alone. If two models agree but the third found something they missed, the stronger argument wins. For factual disputes, the synthesizer can run additional fact-checks via web search. The Venn diagram and color-coded attribution show you exactly where agreement and divergence occurred — and importantly, the models are given anonymous, randomized labels during synthesis, so there's zero bias toward any particular provider.