Text model
gpt-5.2-pro pricing
OpenAI charges $21.00 per million input tokens and $168.00 per million output tokens for gpt-5.2-pro. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $21.00/ 1M
- Output
- $168.00/ 1M
- Context
- 272Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $21.00 | $168.00 | — | — |
| Batch | $10.50 | $84.00 | — | — |
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 | $0.10 | 100,000 | $9,870.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.21 | 100,000 | $21,000.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.39 | 250,000 | $96,600.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.06 | 1,000,000 | $56,700.00 |
Planning a mix of models? Simulate a workload with gpt-5.2-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/gpt-5-pro | $0.07 | 29% |
| openai/o3-pro | $0.06 | 37% |
| deepinfra/anthropic/claude-4-opus | $0.06 | 41% |
| databricks/databricks-claude-opus-4 | $0.05 | 47% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: gpt-5.2-pro-2025-12-11.
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.