RAG bill vs fine-tune setup
Sample
Set embedding model, vector DB base cost, and fine-tune training hours.
What you get
Compares steady-state RAG operating cost against a one-off fine-tune project estimate.
RAG vs Fine-Tuning Cost Comparison Calculator
Should you build a RAG pipeline or fine-tune a model? The answer depends on your data volume, query patterns, and budget. This calculator breaks down the full cost stack for both approaches so you can make an informed decision.
RAG vs Fine-Tuning Cost Comparison Calculator
RAG Pipeline
Embedding$0.26
Vector DB$70.00/mo
LLM inference$315.00/mo
Monthly Total$385.26
Fine-Tuning
Training (one-time)$50.00
Inference$103.50/mo
Monthly (amortized)$107.67
How to Use This Tool
- Enter your knowledge base size (number of documents and average length).
- Set your expected query volume (requests per day).
- Choose the base model for both RAG and fine-tuning.
- Configure embedding model and vector database preferences.
- Compare the total monthly cost for each approach.
Features
- Full RAG cost stack: embedding, vector DB, retrieval, generation
- Fine-tuning cost: training data prep, training runs, inference
- Monthly operational cost comparison
- Break-even point analysis
- Accuracy vs cost tradeoff guidance
Example
Frequently Asked Questions
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