Product · Chat & Work

Ask four models the same question.

Compare AI models side by side: one prompt, up to four answers, read together and settled on merit.

The argument about which model is better ended the afternoon we ran both on the same ticket.

4 models at onceone prompt answered in parallel, with token counts per column

How it works

Use a real task from your day, not a benchmark riddle.

Choose up to four enabled models to answer it in parallel.

Save the best answer to outputs, and note which model earned it.

Model debates end quickly when the answers sit next to each other. Run the comparison on your own work and let the output decide.

Most tasks have a model that costs a fraction and answers just as well. Comparing is how you find it before the invoice does.

How many models can we compare at once?

Up to four per run. Each gets the same prompt and the same context, so the answers stay comparable.

What happens to the answer we like best?

Save it to outputs with one click, filed under its project and linked back to the run.

Does a compare run cost more?

It costs the sum of the models you picked, billed by your providers at their rates. Token detail shows per column.

Shortlist two to four models by price, context, and provider.

Sort input and output rates and context windows side by side.

How the two differ on model access, billing, and governance.