Customer support bot
Estimate cost before letting long conversations grow without context limits.
Free browser tool
AI Token Cost Calculator
Estimate monthly LLM API spend from request volume, average tokens, editable pricing, and a production safety buffer.
Document workflow
Plan for larger input context when users paste docs, contracts, or reports.
Coding assistant
Account for retries, repository context, tool calls, and longer generated output.
What this calculator is for
Use it to plan early AI product costs before you launch a chatbot, coding assistant, document workflow, support bot, or agent feature. It is intentionally manual because model pricing changes often.
Data source: copy current prices from official provider pricing pages. This MVP avoids live API integrations so the page can be deployed and indexed as a zero-cost static tool.
Common planning scenarios
| Scenario | Typical cost driver | What to test before launch |
|---|---|---|
| AI chatbot | Conversation history and repeated turns | Set a context limit and summarize long chats. |
| Document assistant | Large input context and retrieval chunks | Measure average document size and retrieval count. |
| Coding helper | Repository context and long output | Track retries, tool calls, and generated patch length. |
| Content generator | Output tokens | Add max output limits and drafts before final generation. |
FAQ
Does this tool need an AI API?
No. It runs entirely in the browser and uses your manual pricing inputs.
Should the site publish new articles every day?
No. For the first test, the goal is to see if a useful calculator page gets indexed and receives impressions. Add supporting pages only after Search Console shows demand.
Why add a safety buffer?
Real apps often have retries, longer prompts, failed calls, evaluation runs, and hidden growth in conversation history. A buffer keeps estimates closer to production reality.
Planned data notes
- Replace default prices with verified provider prices before public deployment.
- Add model presets only after confirming which keywords receive impressions.
- Track whether users search for model pricing, app cost planning, or token calculators.