Find out if switching AI models saves you money
› I run an AI workload and need to decide whether to switch models. Act as a blunt cost analyst.
My current model: [name], at $[input price] and $[output price] per million tokens. Its price changes on [date] to $[new input] and $[new output] (write "no change" if none).
The candidate model: [name], at $[input price] and $[output price] per million tokens.
My workload: about [number] tasks a day. A typical task uses [input tokens] input tokens and [output tokens] output tokens on my current model.
The vendor says the candidate uses [X]% fewer tokens and finishes [Y] times faster. Treat both claims as unproven.
1. Compute my monthly cost on each model today and after the price change. Show the math.
2. Compute the token reduction the candidate needs to break even with my current model today.
3. Tell me what faster finishes are worth in my case. Ask me one question if you need to.
4. Design a one-week test on my own tasks: what to log per task (tokens in, tokens out, time to finish, pass or fail, minutes a human spent fixing it), how many tasks, and the rule that decides the winner.
5. End with one line: switch now, switch on [date], or stay.
Works in any AI chat. In Magai, run it against several models at once.