LLM token cost calculator
Turn your input and output token counts into a real dollar cost across the latest Claude, GPT-5.x and Gemini models.
Cost per call
$0.300
Estimated monthly cost
$300.00
1,000 calls · Claude Opus 4.8
- Input cost / call$0.250
- Output cost / call$0.050
Standard (non-batch) list rates per million tokens, USD, June 2026. See all pricing data
Frequently asked questions
- How is the cost calculated?
- Cost = (fresh input tokens ÷ 1M × input price) + (cached tokens ÷ 1M × cache-read price) + (output tokens ÷ 1M × output price), times your calls per month.
- What is cached input?
- Providers bill already-cached input tokens at roughly 10% of the base price. A stable context (system prompt, an unchanged CLAUDE.md across turns) earns that discount. See our prompt caching page.
- Are the prices current?
- These are the standard (non-batch) public list rates as of June 2026, kept in sync with our pricing-statistics page. Always verify before quoting a production cost model — prices change at model release.
- How do I reduce this cost?
- Most of an AI coding agent's cost comes from repeated input tokens (file re-reads, tool output). Trimming those before they reach the model — what Tokenade does — directly lowers the bill.
Stop counting. Let Tokenade cut the bill.
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