LLM API Price Calculator

It estimates model usage cost from input token price, output token price, tokens per call, and monthly API call volume. This page returns cost per call, monthly cost, and annual cost.

Many LLM providers charge different rates for prompt tokens and generated response tokens. Separating them gives a more accurate estimate than using one blended token price.

Multiply input tokens by the input price per 1M tokens, multiply output tokens by the output price per 1M tokens, then add both costs together.

Use expected production traffic, scheduled batch jobs, agent tool calls, retries, and background evaluations. Underestimating call volume is the most common reason LLM budgets drift.

No. This proposal keeps the calculator focused on token-based LLM API pricing. Add caching, embeddings, storage, monitoring, and infrastructure separately when building a full budget.

Reduce prompt length, cap output tokens, route simple tasks to cheaper models, cache repeated responses, batch where possible, and monitor high-volume endpoints separately.