Calculator

LLM Fine-Tune Cost
calculator.

Estimate the cost to fine-tune a small open model for your task.

How we calibrated this
Calibrated on the fine-tunes we ship for high-volume tasks.
Inputs

Tell us about your project.

This is a static reference card. For interactive calculators, talk to us — we tune the assumptions per client.

Base model
  • Llama 3.2 1B0.3×
  • Llama 3.2 3B0.6×
  • Llama 3 8B1×
  • Llama 3 70B5×
Dataset size (examples)

Range: 500–100000 examples · Default: 5000 examples

Method
  • LoRA0.5×
  • QLoRA (4-bit)0.4×
  • Full fine-tune1.5×
How it's calculated

The formula.

Base USD 8,000 × model size × dataset prep × method

Output

Build cost

Total cost — dataset prep + training + eval.

Output

Inference cost (per 1M tokens)

Self-hosted run cost.

Output

Cost vs frontier model (per 1M tokens)

Approximate savings vs calling Claude/GPT directly.

Want a real estimate?

This is a band,
not a quote.

For a real estimate calibrated to your specific project, brief us. We get back within two business days.

Brief us on a fine-tune
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