OpenAI o4-mini Pricing
ReasoningOpenAI · 200K tokens context
OpenAI o4-mini from OpenAI costs $1.10 per 1 million input tokens and $4.40 per 1 million output tokens as of May 2026 (live OpenRouter data). The model supports a 200,000-token context window (approximately 150,000 words) with a 100K-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 | 200,000 tokens (~150,000 words) |
| Maximum output | 100,000 tokens |
| Cost per 1K tokens (input) | $0.0011 |
| Tier | Reasoning |
| Last verified |
o4-mini brings OpenAI's chain-of-thought reasoning to a smaller, faster, and cheaper form factor. It offers strong performance on STEM tasks at a fraction of o3's cost.
Input Price
$1.10
per 1 million tokens
Output Price
$4.40
per 1 million tokens
Context Window
200K tokens
max 100K 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 capabilities at a much lower price than o3
- ✓Fast for a reasoning model
- ✓Strong on coding and math
Limitations
- –Less capable than o3 on hardest tasks
- –Still more expensive than GPT-4o for standard tasks
Best Use Cases
Calculate OpenAI o4-mini Costs
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