What the LLM pricing calculator does
Every provider prices input and output tokens differently, and the gap between the cheapest and most capable models is often 20–50×. This calculator compares 25+ models from Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, and xAI — enter your input and output token counts (or requests per day) and it shows cost per request, per day, and per month side by side, so you can size a workload before you build it.
How to estimate your cost
- Set your average input and output tokens per request (a typical chat turn is a few hundred to a few thousand).
- Enter your request volume — per request, per day, or per month.
- Compare the monthly total across models to find the cheapest one that meets your quality bar.
Why input vs output pricing matters
Output tokens usually cost 3–5× more than input tokens, so a workload that reads a lot but writes a little (classification, extraction) has a very different cost profile than one that generates long responses. Modelling both separately — as this tool does — is the difference between a realistic budget and a surprise bill. For live per-model figures, the site also maintains an LLM pricing tracker.
