Text model
o1 pricing
OpenAI charges $15.00 per million input tokens and $60.00 per million output tokens for o1, and $7.50 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $15.00/ 1M
- Output
- $60.00/ 1M
- Cached input
- $7.50/ 1M
- Context
- 200Ktokens
Retires 2026-10-23. Move to a current GPT / o-series model. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $15.00 | $60.00 | $7.50 | — |
| Batch | $7.50 | $30.00 | — | — |
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 | $0.05 | 100,000 | $4,650.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.09 | 100,000 | $9,000.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.17 | 250,000 | $42,000.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.03 | 1,000,000 | $31,500.00 |
Planning a mix of models? Simulate a workload with o1, 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-6-astra | $0.04 | 25% |
| openai/chat-latest | $0.02 | 58% |
| databricks/databricks-claude-fable-5 | $0.04 | 25% |
| databricks/databricks-claude-fable-5-1 | $0.04 | 25% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: o1-2024-12-17.
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.