Text model
gpt-5-pro pricing
OpenAI charges $15.00 per million input tokens and $120.00 per million output tokens for gpt-5-pro. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $15.00/ 1M
- Output
- $120.00/ 1M
- Context
- 400Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $15.00 | $120.00 | — | — |
| Batch | $7.50 | $60.00 | — | — |
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 | $0.07 | 100,000 | $7,050.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.15 | 100,000 | $15,000.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.28 | 250,000 | $69,000.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.04 | 1,000,000 | $40,500.00 |
Planning a mix of models? Simulate a workload with gpt-5-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 |
|---|---|---|
| openai/daybreak-red-latest | $0.05 | 31% |
| openai/gpt-5.6-cyber | $0.05 | 31% |
| deepinfra/anthropic/claude-4-opus | $0.06 | 18% |
| databricks/databricks-claude-opus-4 | $0.05 | 26% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: gpt-5-pro-2025-10-06.
Compare
Last verified with price book 2026-10-22. Sources: OpenAI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.