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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.
Công thức
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
Hướng dẫn từng bước
- 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
Ví dụ có lời giải
đầu vào
GPT-4o: 500 input + 200 output tokens, 1000 req/month
Kết quả
~$3.25/month
đầu vào
Claude Haiku: same usage
Kết quả
~$1.20/month
đầu vào
GPT-4o-mini: 1M requests/month
Kết quả
~$150–300/month typical
Câu hỏi thường gặp
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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