GPT-5.4
A more affordable frontier model for coding and professional work, with a 1.05M-token context window and native compaction for long-running agents.
Source: OpenAI models, OpenAI pricing
Pricing
Every billing leg from the live catalog, in USD per 1M tokens.
| Billing leg | Standard | Long context | Batch |
|---|---|---|---|
| Input | $2.5 / M | $5 / M | $1.25 / M |
| Output | $15 / M | $22.5 / M | $7.5 / M |
| Cache read | $0.25 / M | $0.5 / M | $0.13 / M |
Long-context rates apply above 272,000 input tokens.
Cost calculator
Billing-grade math over the rate card above, including the thinking tokens most estimates miss.
Hidden reasoning tokens bill as output. 1.0x = thinking off. Medium-effort reasoning typically lands near 3x; heavy reasoning runs 6x to 8x. Set it to match your workload.
Compare providers
The same model, priced across every platform that serves it. Lowest combined in/out rate is flagged.
| Platform | Input / M | Output / M | Cache read / M | Batch | Access |
|---|---|---|---|---|---|
OpenAILowest | $2.5 | $15 | $0.25 | ✓ | First-party API |
Cursor | $2.5 | $15 | $0.25 | — | Direct |
AWS Bedrock | $3.3 | $19.8 | — | — | Direct |
AWS Bedrock · Regional | from$3.3 | $19.8 | — | — | Direct |
Regional deployments are priced per region; the lowest available region rate is shown.
Price history
Has this model gotten cheaper or more expensive?
| Effective | Input / Output | Status |
|---|---|---|
| April 20, 2026 – July 10, 2026 | $2.5 / $15 | past |
| July 10, 2026 | $2.5 / $15 | current |
More from OpenAI
Other models from the same provider.
Stop estimating. Track it.
SuperPenguin meters every GPT-5.4 call your team makes, prices it with this exact rate card, and shows spend by feature, customer, and team.
Rates are generated from SuperPenguin's live pricing catalog.