Fine-tuning Cost Calculator
Estimate training, validation, hosting and inference costs for fine-tuned AI models before you commit budget.
Hit Calculate to see fine-tuning economics
Calculate to compare cost and savings
Metrics appear after calculation
Your explanation appears here
Cost estimates do not prove better accuracy. Compare eval scores, failure rate and latency before moving production volume.
Your plan appears after calculation
Test larger traffic and different training epochs without changing the main result.
Calculate your baseline first
The calculator multiplies training tokens × epochs × training price per 1M tokens, adds validation token cost, then estimates monthly tuned-model inference from input tokens, output tokens, run volume, tuned rates and hosting fees.
Fine-tuning can become cheaper when it materially reduces prompt length, output length, retries or manual review. The payback metric compares the one-time training cost against estimated monthly savings versus the base model.
No. All calculations run locally in your browser. The tool does not call external APIs, store inputs, use API keys, analytics, tracking pixels or localStorage.
Results are local estimates based on the prices and usage values you enter. Provider billing units, minimum charges, storage fees, deployment fees, evaluation runs and retry behavior can vary. Use this calculator for planning only, and verify pricing with your vendor before committing production workloads.