Fine-tuning Cost & ROI Calculator | LLM Training Economics

Provider Fine-tuning Pricing

OpenAI

GPT-4o mini $3.00/1M train tokens

GPT-4o $25.00/1M train tokens

Inference: same as base model pricing. Free training daily credits available.

Google

Gemini Flash Free (supervised tuning)

Gemini Pro Free (supervised tuning)

Tuned model inference charged at standard rates. Limited to Vertex AI.

Mistral

Mistral Small $2.00/1M train tokens

Mistral Large $4.00/1M train tokens

Serverless deployment with pay-per-token inference.

Together AI

Llama 3.x (8B) $2.00/1M train tokens

Llama 3.x (70B) $5.00/1M train tokens

LoRA fine-tuning. Inference from $0.20/1M tokens.

Fine-tuning Parameters

Training Dataset

Training examples (conversations)

Avg tokens per example

Training epochs

Training cost per 1M tokens ($)

Inference Comparison

Current system prompt tokens (saved after FT) Fine-tuning often eliminates long system prompts

User input tokens per request

Output tokens per request

Requests per day

Model Pricing (per 1M tokens)

Input $/1M

Output $/1M

Use your base model's API pricing (or fine-tuned inference pricing if different)

ROI Analysis

Training Cost

$0.00

0 tokens

Monthly Savings

$0.00

0% reduction

Break-even

— days

0 requests

12-month ROI

$0 net savings

Monthly Cost Comparison

Without Fine-tuning

$0/mo

With Fine-tuning