Model pricing
GPT-6.1 Sol API list price — cost per token
GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens (USD). Requests at >272K tokens are billed at a premium tier for the whole request.
| Token rate | USD / 1M tokens |
|---|---|
| Effortqualitative reasoning depth | High |
| Inputper 1M tokens | $2.00 |
| Output | $10.00 |
| Cache writeper 1M tokens | $2.50 |
| Cache readper 1M tokens | $0.10 |
| Input · >272K context | $4.00 |
| Output · >272K context | $15.00 |
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 $0.10 per million tokens — about 5% 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-6.1 Sol cost per million tokens?
- $2.00 input and $10.00 output per million tokens (USD list price).
- What is the cache-read price for GPT-6.1 Sol?
- $0.10 per million cached-read tokens — about 5% of the input rate.
- How is cache writing priced for GPT-6.1 Sol?
- Cache writes cost $2.50 per million tokens.
- Does GPT-6.1 Sol 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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