Vendor pricing
OpenAI (GPT-5.x / Codex) model pricing
Every OpenAI (GPT-5.x / Codex) model JP prices, side by side — input, output, and cache rates per million tokens.
| Model | Input / 1M | Output / 1M | Cache read / 1M |
|---|---|---|---|
| GPT-5.5 | $5.00 | $30.00 | $0.50 |
| GPT-5.4 | $2.50 | $15.00 | $0.25 |
| GPT-5.4 mini | $0.75 | $4.50 | $0.08 |
| GPT-5.3-Codex | $1.75 | $14.00 | $0.18 |
| GPT-5.2-Codex | $1.75 | $14.00 | $0.18 |
| GPT-5.1-Codex | $1.25 | $10.00 | $0.13 |
| GPT-5.1-Codex-Max | $1.25 | $10.00 | $0.13 |
| GPT-5.1-Codex-Mini | $0.25 | $2.00 | $0.03 |
| GPT-5-Codex | $1.25 | $10.00 | $0.13 |
Notional list price. OpenAI (GPT-5.x / Codex) usage on a subscription is metered as a flat plan, so these per-token figures are list price, not spend.
How to read this table
All prices are USD per million tokens at published API list rates. Cache reads cost about a tenth of the input rate; where a model shows a >200K tier, crossing that context threshold reprices the whole request.
Subscription note
On a subscription (Codex), these list prices are notional — what usage would cost at API rates, not metered spend.
Common questions
- Which OpenAI (GPT-5.x / Codex) model is cheapest?
- The flash / mini / haiku tiers are the lowest per-token; the pro / opus tiers cost more but reason harder. The table shows the exact rates.