RAG Cost Calculator

What the RAG Cost Calculator | Plugsky does

The RAG Cost Calculator estimates retrieval-augmented generation cost by combining monthly input and output token volumes with a query count, then showing per-token and monthly totals across providers including Plugsky, OpenAI, Anthropic, Google, Groq and DeepSeek. It is aimed at teams budgeting RAG systems, where each query carries retrieved passages and inflates input tokens. Treat the output as a token-cost estimate: budget for embeddings and vector storage separately.

How to use it

1. Open the RAG Cost Calculator.
2. Enter monthly input tokens in millions, including retrieved context.
3. Enter monthly output tokens in millions.
4. Set your monthly query volume in thousands.
5. Compare provider totals, then add embedding and vector database costs from your own stack.

FAQ

Why is RAG input-token heavy?

Each query includes retrieved passages alongside the question, so input tokens grow with the number of chunks and their length. Trimming chunks or reranking before generation reduces the bill.

Does the calculator include embeddings and vector storage?

The comparison table prices generation tokens from the volumes you enter. Embedding calls and vector database hosting are separate line items, so add them for a complete RAG budget.

Which providers are listed?

The page compares Plugsky, OpenAI, Anthropic, Google, Groq and DeepSeek. Rates change, so verify current numbers on the live pricing page before committing a budget.

Start Free →

Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs

Related