Live Prompt Cost Meter

Type a prompt and watch the cost meter update in real time

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Live prompt cost meter

Write prompts with a price tag in view. As you type, this meter shows a running token count and dollar cost for your selected model and expected completion length — so you feel the cost of a verbose system prompt before it ships to production.

How it works

The meter estimates tokens locally from your text, blending a character-based rule (≈1 token per 4 characters) with a word count for stability across short and long inputs. It then prices the call:

prompt_cost = (prompt_tokens / 1,000,000) × input_price
output_cost = (expected_completion / 1,000,000) × output_price
total       = prompt_cost + output_cost

Because output is priced several times higher than input, the completion-length field often dominates the total — a useful reminder that capping max_tokens is the cheapest optimization.

Tips

  • Trim the system prompt. A bloated system message is paid on every single call; the meter makes that cost visible.
  • Set a realistic completion length. Estimate your typical answer size so the total reflects real usage, not just the prompt.
  • Verify before launch. For exact, billable counts, confirm with a provider-backed token counter before locking in a budget.
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