LLM Cost & Capacity Calc

Compare realtime and batch API cost for a workload with your discount fraction, and the money saved by waiting.

Prompt-cache savings for a shared prefix: cost with and without caching, break-even requests and percent saved.

Check whether a prompt fits a context window with output reserve, and how many more chat turns fit.

Cost of LLM API calls from input and output tokens and your per-million-token prices, per request and in total.

Rank 2 to 20 models by cost for a workload from your own prices; flags models whose context window is too small.

Forecast monthly and yearly LLM spend from daily requests, tokens and prices, with monthly growth and per-user cost.

Sustainable requests per minute under RPM and TPM limits, job duration for N requests, and concurrency needed.

Rough LLM token estimate of text from characters and words, as a low-high range by content type. Not a tokenizer.