OpenAI o3 Pricing
ReasoningOpenAI · 200K tokens context
OpenAI o3 from OpenAI costs $2.00 per 1 million input tokens and $8.00 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 $0.0020 in input charges; a 10,000-token request costs $0.0200.
| Input price | $2.00 / 1M tokens |
|---|---|
| Output price | $8.00 / 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) | $0.0020 |
| Tier | Reasoning |
| Last verified |
OpenAI o3 is a frontier reasoning model that thinks step-by-step before answering. It significantly outperforms previous models on math, science, and complex coding tasks — but at a higher cost due to extended chain-of-thought processing.
Input Price
$2.00
per 1 million tokens
Output Price
$8.00
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 | $0.00267 | $0.0032 |
| 10-page document (2,500 words) | 3,333 | $0.00667 | $0.008 |
| 1,000 lines of code | 5,000 | $0.01 | $0.012 |
| 100K token document | 100,000 | $0.20 | $0.24 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓State-of-the-art on math, science, and coding benchmarks
- ✓Extended chain-of-thought reasoning
- ✓200K context window
- ✓Exceptional accuracy on logic-heavy tasks
Limitations
- –Expensive at $10/1M input tokens
- –Slower than non-reasoning models
- –Overkill for most everyday tasks
Best Use Cases
Calculate OpenAI o3 Costs
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