If i have multiple 7b models where each model is trained on one specific topic (e.g. roleplay, math, coding, history, politic…) and i have an interface which decides depending on the context which model to use. Could this outperform bigger models while being faster?
Just to note: don’t read too much into OpenAI’s prices. They’re deliberately losing money as a market-capturing strategy, so it’s not guaranteed that there’s a linear relationship between what they charge for a given service and what their actual costs are.