Using multiple models balances cost, speed, and accuracy. You get better...

https://list-wiki.win/index.php/The_Engineer%E2%80%99s_Guide_to_Multi-Model_AI:_Beyond_the_Hype

Using multiple models balances cost, speed, and accuracy. You get better coverage when models fail differently. Be careful though. Aggregating results often hides dissent and risks data leaks