Model pricing
GPT-5.6 Terra API list price — cost per token
GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens (USD). Requests with >272K tokens in the prompt, including cache reads and writes, use the premium rates for the whole request.
| Token rate | USD / 1M tokens |
|---|---|
| Effortqualitative reasoning depth | High |
| Inputper 1M tokens | $2.00 |
| Output | $12.00 |
| Cache writeper 1M tokens | $2.50 |
| Cache readper 1M tokens | $0.20 |
| Input · >272K context | $4.00 |
| Output · >272K context | $18.00 |
| Cache write · >272K context | $5.00 |
| Cache read · >272K context | $0.40 |
Notional list price. These are OpenAI (GPT / Codex) API list prices in USD. On Codex usage this is a notional list price — what usage would cost at API rates, not metered spend.
Cache & context economics
Cache reads cost $0.20 per million tokens — about a tenth of input. Cache writes cost $2.50 per million tokens. The >272K tokens context tier reprices the whole request.
Common questions
- How much does GPT-5.6 Terra cost per million tokens?
- $2.00 input and $12.00 output per million tokens (USD list price).
- What is the cache-read price for GPT-5.6 Terra?
- $0.20 per million cached-read tokens — about a tenth of the input rate.
- How is cache writing priced for GPT-5.6 Terra?
- Cache writes cost $2.50 per million tokens.
- Does GPT-5.6 Terra have a context pricing tier?
- Yes — at >272K tokens input rises to $4.00 per million for the entire request.
Track your real cost with JP the Cat
A live menu-bar total, priced to the cent from your local logs — including the cache-write split most tools miss.
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