OpenAI o1 Pricing
ReasoningOpenAI · 200K tokens context
OpenAI o1 from OpenAI costs $15.00 per 1 million input tokens and $60.00 per 1 million output tokens as of June 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 $0.0150 in input charges; a 10,000-token request costs $0.1500.
| Input price | $15.00 / 1M tokens |
|---|---|
| Output price | $60.00 / 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) | $0.0150 |
| Tier | Reasoning |
| Last verified |
OpenAI o1 is the original frontier reasoning model — extended chain-of-thought processing for maximum accuracy on math, science, and complex coding. Pricier than o3/o4-mini but benchmarked at the top of its generation.
Input Price
$15.00
per 1 million tokens
Output Price
$60.00
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 | $0.02 | $0.024 |
| 10-page document (2,500 words) | 3,333 | $0.05 | $0.06 |
| 1,000 lines of code | 5,000 | $0.075 | $0.09 |
| 100K token document | 100,000 | $1.50 | $1.80 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Top-tier accuracy on hard STEM problems
- ✓200K context, 100K output limit
- ✓Established benchmark leader at release
Limitations
- –Most expensive OpenAI model at $15/$60 per million
- –Slower than o4-mini
- –Superseded by o3 on most tasks
Best Use Cases
Calculate OpenAI o1 Costs
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