Asking a single language model a hard question only tells you what that one model sounds like when it is confident. Even pasting the same prompt into two separate tabs misses the real signal: when independently trained models agree right away, that is only weak evidence the answer is right, but when they disagree and have to defend their reasoning, it reliably marks the exact part of the problem that is genuinely hard.
SwarmStudio runs one problem across two to six language models at the same time and makes them read and challenge each other across rounds. Instead of isolated answers, you get a structured debate where models point out each other's blind spots, catch unsupported claims, and narrow down where their logic splits. When you want a clean conclusion at the end, you can turn on an optional referee model to weigh the exchange and deliver a verdict.
Everything runs free in your browser using your own provider API keys, with live per-model cost tracking so you can see to the cent what each model spent. There is no account to create and no crypto setup involved — just bring your keys, pick your models, and start the round.
Machine-readable project summary: /llms.txt · API: /openapi.json · CoinLoader.com · BotAppStore.com