Fine-tuning Cost Calculator

Estimate the total cost of fine-tuning a large language model (LLM) — including training, data, and deployment.

Use the calculator above to get an instant cost breakdown.

Enter your model, dataset, and usage details to estimate:

Training (GPU) cost

Data preparation cost

Storage cost

Inference cost

Platform/API fees

Experimentation cost

Most calculators only show GPU cost. This tool gives you the complete cost view:

✔ Training Cost GPU hours based on model size, epochs, and method

✔ Data Cost Cleaning, labeling, and formatting your dataset

✔ Storage Cost Model checkpoints and dataset storage

✔ Inference Cost Monthly cost to run your model in production

✔ Platform Fees Managed API or hosting costs

✔ Experimentation Cost Multiple runs, tuning, and engineering time

Provide the following for accurate results:

Training tokens

Epochs

$ per 1K training tokens

Training tokens 2000000

Epochs 3

$ per 1K training tokens 0.008

Result= Fine-tuning

Billable training tokens: 6,000

Fine-tune cost: $48.00

Use this calculator if you want to:

Plan your fine-tuning budget

Compare LoRA vs full fine-tuning

Decide between API vs self-hosting

Evaluate if fine-tuning is worth it