—
per month—per user / month
—per year
—LLM calls / month
Cheapest models for this workload
Same usage, every model ranked by monthly cost.
| Model | Cost / month | Per user |
|---|
⚠️ Estimate using reference prices (June 2026) and list rates. Real bills vary with caching, batching, region, tiers and add-ons. Type your real token counts for the closest figure.
How to read this
Your AI bill is mostly users × calls × tokens × price. The biggest levers, in order: which model (small vs frontier is often 20–50× cheaper), output length (output costs 3–5× input — cap it), and input length (trim system prompts and retrieved context). Caching repeated context and batching non-urgent jobs cut more.
Picking a model? Compare them head-to-head on the AI API cost calculator, or read GPT vs Claude vs Gemini. Building RAG or a chatbot? Those have their own cost drivers (embeddings, vector DB, retrieval size) — guides coming.