USD · Standard API rates · GPT rates assume at most 272K input tokens per call. For longer prompts, enter the provider's long-context rates manually.
| Model | Input $ / M | Output $ / M | Per call | Per day | Per month | Per year | |
|---|---|---|---|---|---|---|---|
| $0.0600 | $600 | $18,000 | $219,000 | ||||
| $0.0120 | $120 | $3,600 | $43,800 | ||||
| $0.0006 | $6.00 | $180 | $2,190 | ||||
| $0.0120 | $120 | $3,600 | $43,800 | ||||
| $0.0600 | $600 | $18,000 | $219,000 | ||||
| $0.0240 | $240 | $7,200 | $87,600 | ||||
| $0.0120 | $120 | $3,600 | $43,800 | ||||
| $0.0060 | $60.00 | $1,800 | $21,900 |
Default rates last verified on 2026-09-30 against OpenAI and Anthropic; edit any cell to match your contracted rate. Shared links keep their saved rates, which may be older. Calculation: (input_tokens × input_$/M + output_tokens × output_$/M) ÷ 1,000,000 × calls/day. Excludes cache reads/writes, batch/flex discounts, fine-tuning, fast/ultrafast modes, tool fees, and data-residency premiums. Rates do not adjust automatically for long context: above 272K input tokens, the listed GPT models charge 2× input and 1.5× output rates. Claude Fable 5.1, Opus 5.5, and Sonnet 5.5 retain standard rates across their 1M context windows. Haiku 4.5 has a 200K context window; check model limits before budgeting a request. Include billed reasoning/thinking tokens in output totals. Token counts vary by tokenizer; the same text can use different token counts across models.