OpenAI o1-mini Pricing
ReasoningOpenAI · 128K tokens context
OpenAI o1-mini from OpenAI costs $1.10 per 1 million input tokens and $4.40 per 1 million output tokens as of June 2026. The model supports a 128,000-token context window (approximately 96,000 words) with a 66K-token maximum output. A typical 1,000-token request costs $0.0011 in input charges; a 10,000-token request costs $0.0110.
| Input price | $1.10 / 1M tokens |
|---|---|
| Output price | $4.40 / 1M tokens |
| Output / input ratio | 4.0× |
| Context window | 128,000 tokens (~96,000 words) |
| Maximum output | 65,536 tokens |
| Cost per 1K tokens (input) | $0.0011 |
| Tier | Reasoning |
| Last verified |
OpenAI o1-mini is the budget version of o1 — chain-of-thought reasoning at a fraction of the cost, optimized for STEM tasks. Largely succeeded by o4-mini but still widely deployed.
Input Price
$1.10
per 1 million tokens
Output Price
$4.40
per 1 million tokens
Context Window
128K tokens
max 66K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00147 | $0.00176 |
| 10-page document (2,500 words) | 3,333 | $0.00367 | $0.0044 |
| 1,000 lines of code | 5,000 | $0.0055 | $0.0066 |
| 100K token document | 100,000 | $0.11 | $0.132 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Reasoning at o4-mini price point
- ✓Strong STEM and coding performance
- ✓Faster than full o1
Limitations
- –128K context (smaller than o1/o3)
- –Succeeded by o3-mini and o4-mini
Best Use Cases
Calculate OpenAI o1-mini Costs
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Open Calculator →OpenAI o1-mini — FAQ
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