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Fine-tuning vs prompting break-even
Compare a fine-tuned model with long prompts to see when fine-tuning pays back.
GenAI & agentic AIHow it's worked out
- Saving = requests × (tokens saved × base price − remaining tokens × price difference) − hosting
- Output costs similar for both options
NoteFine-tuned models need retraining when the base model or your data changes; include that in the training cost.
Source: Model provider fine-tuning pricing documentation
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