Text model
gpt-5.4-pro pricing
Azure AI Foundry charges $30.00 per million input tokens and $180.00 per million output tokens for gpt-5.4-pro, and $3.00 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $30.00/ 1M
- Output
- $180.00/ 1M
- Cached input
- $3.00/ 1M
- Context
- 922Ktokens
Retires 2027-09-07. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $30.00 | $180.00 | $3.00 | — |
| Standard, prompts over 272K tokens | $60.00 | $270.00 | $6.00 | — |
| Priority | $60.00 | $360.00 | $6.00 | — |
| Priority, prompts over 272K tokens | $120.00 | $540.00 | $12.00 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.12 | 100,000 | $11,700.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.16 | 100,000 | $16,200.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.29 | 250,000 | $72,000.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with gpt-5.4-pro, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| azure-ai/gpt-6-astra | $0.04 | 70% |
| azure-ai/FW-Kimi-K3 | $0.01 | 91% |
| openai/gpt-5.2-pro | $0.10 | 16% |
| openai/gpt-5-pro | $0.07 | 40% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: gpt-5.4-pro-2026-03-05.
Compare
Last verified with price book 2026-10-22. Sources: Azure AI Foundry pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.