LLM API Monthly Cost Calculator
Estimate monthly LLM API costs for a SaaS product, internal tool, prototype, AI feature, or production application using daily calls and average token usage.
Use the AI Token Cost CalculatorWho This Calculator Is For
Use this page when you need a general monthly API budget rather than a provider-specific estimate. It fits SaaS AI features, internal copilots, support workflows, data extraction jobs, and early product prototypes.
What To Estimate
- Daily calls or monthly calls.
- Average input tokens per call.
- Average output tokens per call.
- Cached input tokens for stable context.
- The provider and model used for the workload.
How Monthly LLM API Cost Is Calculated
Monthly calls = Daily calls x 30
Total cost = Input cost + Cached input cost + Output cost
Input tokens are the text you send to the model. Cached input tokens are repeated context that may be billed separately when a model supports caching. Output tokens are generated by the model and are often the biggest cost lever for long answers.
Example Scenario
A SaaS feature may receive 5,000 AI requests per day. If each request includes a product record, a short instruction, and a generated answer, monthly spend depends on both the request count and the average output length. Use realistic averages rather than best-case prompts.
How To Reduce Monthly Spend
- Shorten prompts and remove fields the model does not need.
- Set output limits for responses that do not need long prose.
- Use cached input for repeated instructions when available.
- Route simple tasks to cheaper models and reserve stronger models for hard cases.
Pricing Data and Limitations
The main calculator contains the maintained model pricing references. This page avoids writing static model price numbers because API pricing can change. Treat the result as a planning estimate, then verify current provider pricing before committing budget or customer pricing.