Fine-Tuning Cost Estimator
Estimate training and inference pricing for fine-tuning OpenAI and open-source LLMs.
Typical training runs require 3 to 5 epochs to prevent over-fitting.
Expected volume of API input + output tokens processed by your custom model per month.
What is the Fine-Tuning Cost Estimator?
The Fine-Tuning Cost Estimator helps developers, machine learning engineers, and product teams project the expenses of training custom LLMs. It calculates one-time training fees based on your custom dataset tokens and training epochs, then projects monthly production inference fees to compare against raw base model rates.
How Does the Fine-Tuning Cost Estimator Work?
1. Select Base Model â Choose GPT-4o-mini, GPT-3.5-turbo, Llama 3 8B, or Mistral 7B.
2. Define Dataset Tokens â The number of words/tokens inside your training JSONL files.
3. Set Training Epochs â Number of complete passes the training algorithm makes over the dataset.
4. Input Monthly Volume â Projected generated production tokens per month.
5. Get Total Cost Forecast â Review training fees, monthly inference fees, and first-year net projections.
Formula & Calculation Method
Fine-Tuning Rates (per million tokens):
- Training rates: GPT-4o-mini ($3.00), GPT-3.5 ($8.00), Llama 3 / Mistral ($6.00).
- Inference rates (average blended input/output): GPT-4o-mini ($0.75), GPT-3.5 ($4.50), Llama 3 / Mistral ($1.50).
- Training Fee: (Dataset Tokens à Epochs / 1,000,000) à Training Rate
- Inference Cost: (Monthly Tokens / 1,000,000) Ã Blended Inference Rate
Example Calculation
Example: Fine-tuning GPT-4o-mini with a 2,000,000-token dataset, running 3 epochs, and generating 10,000,000 tokens per month in production.
- One-time Training Fee: (2,000,000 Ã 3 / 1M) Ã $3.00 = $18.00
- Monthly Inference Cost: (10,000,000 / 1M) Ã $0.75 = $7.50 / mo
- Total Year 1 Cost: $18.00 + ($7.50 Ã 12) = $108.00.
Frequently Asked Questions
**Fine-Tuning Rates (per million tokens):** - **Training rates:** GPT-4o-mini ($3.00), GPT-3.5 ($8.00), Llama 3 / Mistral ($6.00). - **Inference rates (average blended input/output):** GPT-4o-mini ($0.75), GPT-3.5 ($4.50), Llama 3 / Mistral ($1.50). - **Training Fee:** (Dataset Tokens à Epochs / 1,000,000) à Training Rate - **Inference Cost:** (Monthly Tokens / 1,000,000) à Blended Inference Rate
Disclaimer: This tool is provided for informational and calculation purposes. Output values are estimates based on standard user inputs.