Everyone answered your question, but here's a specific situation - one of our prompts for GPT-4 is reliably around ~980 tokens. That's about 3 cents for the inp

Everyone answered your question, but here's a specific situation - one of our prompts for GPT-4 is reliably around ~980 tokens. That's about 3 cents for the input alone, and the output is typically 2-3 chunks of the 8k context window (up to 24k). That means I have to give the prompt up to three times (9 cents), receive up to 24k output tokens, then combine the chunks to get back roughly 8k tokens. If fine tuning can reduce the input considerably, that's a cost savings. Further savings would come from getting access to the 32k context window which would enable me to skip chaining 3x 8k context prompts PLUS a summarization prompt. So fine tuning and a 32k window both increase accuracy and decrease cost, if done correctly.