RAG Model Token Cost Calculator
Estimate the selected model’s text-token cost when each request includes a question, instructions, and retrieved context.
Choose a model
Set your usage
These are editable scenario inputs, not usage benchmarks.
Include instructions, the question, retrieved text, and any history sent to the model.
Include reasoning or thinking tokens if your provider bills them as output. This estimate does not infer them.
This estimates model-token usage for each request. Embedding, retrieval, vector storage, and hosting costs are outside this calculation.
Review the estimate
Estimate for Gemini 4 Argon at public standard text rates checked October 17, 2026.
Cost at different volumes
Each row keeps the same token assumptions.
| Active users | Requests / month | Monthly | Annual |
|---|---|---|---|
| 100 | 100 | $0.6000 | $7.30 |
| 1.0K | 1.0K | $6.00 | $73.00 |
| 10.0K | 10.0K | $60.00 | $730.00 |
| 100.0K | 100.0K | $600.00 | $7,300.00 |
Monthly estimates use 30 days. Annual estimates use 365 days.
Estimate covers public standard text input and output rates only. If your provider bills reasoning or thinking tokens as output, include them in your output-token estimate; this calculator does not infer them. It excludes cached-token pricing, batch discounts, external tools and search, embeddings, vector stores, hosting and infrastructure, negotiated discounts, free-tier credits, and image, audio, video, or voice usage.
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Budget the model-token part of RAG
Retrieved passages, system instructions, the user’s question, and any conversation history sent to the model all contribute to input tokens. Enter the full average input for one request, then estimate the model’s output separately.
This page estimates model-token charges only. Embedding generation, vector storage, retrieval services, document ingestion, hosting, and other infrastructure are outside the calculation.
