Free tool
AI Token Cost Calculator
Estimate model cost, usage volume, and whether a repeated AI workflow has enough value to justify scaling.
Interpretation
Model cost is unlikely to be the blocker. Focus on workflow quality, review, and adoption.
How 2 and 3 connect
Token prices say what 1M tokens cost. Prompt size estimates the input and output tokens used by one run. Usage volume multiplies that run cost across the month.
((1,596 input tokens x $3) + (665 output tokens x $15)) / 1M x 2,000 runs = $30 / monthCost vs value
Token split per run
Input 1,596Output 665
Monthly cost by API model
A strong everyday reasoning and writing model. Reserve for work where quality matters more than lowest unit cost. Presets were checked against provider pricing pages in July 2026 and are for planning only. Pricing, context thresholds, cache discounts, tool calls, batch discounts, and subscriptions can change the real bill.
Sources: OpenAI / Anthropic / DeepSeek / Gemini / xAI Grok
Planning summary
AI token cost estimate Workflow: Custom workflow Model pricing: Claude Sonnet 5 Pricing source: Anthropic model docs Input cost / 1M tokens: $3 Output cost / 1M tokens: $15 Cost formula: ((input tokens x input price) + (output tokens x output price)) / 1M x monthly runs Tokens per run: 2,261 Monthly runs: 2,000 Monthly AI cost: $30 Cost per run: $0.01 Cost per 1,000 runs: $15 Estimated time value: $14,667 Value / cost ratio: 496.7x Pricing sources last checked: July 2026 OpenAI: https://developers.openai.com/api/docs/pricing Anthropic: https://platform.claude.com/docs/en/about-claude/models/overview DeepSeek: https://api-docs.deepseek.com/quick_start/pricing/ Google Gemini: https://ai.google.dev/gemini-api/docs/pricing xAI Grok: https://docs.x.ai/developers/pricing Interpretation: Model cost is unlikely to be the blocker. Focus on workflow quality, review, and adoption.