Text model
o3-mini pricing
OpenAI charges $1.10 per million input tokens and $4.40 per million output tokens for o3-mini, and $0.55 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $1.10/ 1M
- Output
- $4.40/ 1M
- Cached input
- $0.55/ 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 | $1.10 | $4.40 | $0.55 | — |
| Batch | $0.55 | $2.20 | — | — |
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 | $0.00341 | 100,000 | $341.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.0066 | 100,000 | $660.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.01 | 250,000 | $3,080.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.00231 | 1,000,000 | $2,310.00 |
Planning a mix of models? Simulate a workload with o3-mini, 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-mini | $0.00118 | 66% |
| openai/gpt-5.6-luna | $0.00078 | 77% |
| azure-ai/grok-4.3 | $0.00287 | 16% |
| xai/grok-4.20 | $0.00287 | 16% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: o3-mini-2025-01-31.
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.