LLM API cost calculator
Estimate what your LLM workload costs. Set tokens per request and daily volume, and compare per-request, daily, and monthly spend across models — every price is editable, so it works for any provider.
How the math works
LLM APIs bill per token, with separate rates for input (your prompt, documents, and history) and output (the model's response). Cost per request is input tokens × input rate + output tokens × output rate, with rates quoted per million tokens. A typical RAG chatbot request carries 1,000–4,000 input tokens (question + retrieved context) and 200–800 output tokens, but the right numbers depend on your prompt size, retrieval depth, and answer length.