GPT-5.5 Pro
$30 per million input tokens, $180 per million output.
| Input | $30 / MTok |
|---|---|
| Output | $180 / MTok |
| Cache read | no prompt caching |
| Cache write (5 min) | — |
| Context window | not published here |
| Tokenizer family | o200k_base (OpenAI) |
What that costs per month
Monthly spend for a prompt of a given size, with a 500-token response, no caching. Rows are prompt size; columns are requests per day.
| Prompt size | 1,000 / day | 10,000 / day | 100,000 / day |
|---|---|---|---|
| 1,000 tokens | $3,650 | $36,500 | $365,000 |
| 5,000 tokens | $7,300 | $73,000 | $730,000 |
| 20,000 tokens | $20,988 | $209,875 | $2,098,750 |
Cheaper on input
Lower input price. Whether they are cheaper for your task depends on token counts and on whether they hold up on your evals.
- Claude Fable 5$10 / $50Anthropic
- Claude Opus 5$5 / $25Anthropic
- Claude Opus 4.8$5 / $25Anthropic
- Claude Opus 4.7$5 / $25Anthropic
- Claude Opus 4.6$5 / $25Anthropic
Price your actual prompt
These figures assume a prompt size. Paste your real one and the analyser will count it with GPT-5.5 Pro’s tokenizer family, find what is wasted, and compare against every other model at your volume.
Open the analyserPrices last verified 2026-08-10. Confirm against OpenAI’s own pricing page before committing to anything.