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An AI API cost calculator estimates the cost of using large language model APIs based on token usage. AI APIs charge separately for input (prompt) and output (completion) tokens.
공식
cost = (input_tokens × rate_in) + (output_tokens × rate_out)
- T_in
- Input tokens (tokens) — Tokens sent to API
- T_out
- Output tokens (tokens) — Tokens generated by API
- rate_in
- Input rate ($/1M tokens) — Price per million input tokens
- rate_out
- Output rate ($/1M tokens) — Price per million output tokens
단계별 가이드
- 1Cost = (input tokens ÷ 1000) × input rate + (output tokens ÷ 1000) × output rate
- 2Rates are per 1,000 tokens (or per million tokens on newer models)
- 3Monthly cost = cost per request × monthly request volume
- 4Input tokens are typically cheaper than output tokens
풀어진 예시
입력
GPT-4o: 500 input + 200 output tokens, 1000 req/month
결과
~$3.25/month
입력
Claude Haiku: same usage
결과
~$1.20/month
입력
GPT-4o-mini: 1M requests/month
결과
~$150–300/month typical
자주 묻는 질문
Why is output more expensive than input?
Generating tokens is computationally more costly than reading them. Output pricing reflects the higher compute cost.
How do I estimate total API costs?
Calculate (input tokens ÷ 1,000,000) × rate_in + (output tokens ÷ 1,000,000) × rate_out. Track all API calls.
What are typical LLM token rates?
As of 2026, rates vary: Claude 3.5 Sonnet ~$3/$15 per 1M tokens; GPT-4 ~$30/$60; open-source may be cheaper.
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