o3 Pro Pricing
ReasoningOpenAI · 200K tokens context
o3 Pro from OpenAI costs $20.00 per 1 million input tokens and $80.00 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 $0.0200 in input charges; a 10,000-token request costs $0.2000.
| Input price | $20.00 / 1M tokens |
|---|---|
| Output price | $80.00 / 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) | $0.0200 |
| Tier | Reasoning |
| Last verified |
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
Input Price
$20.00
per 1 million tokens
Output Price
$80.00
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 | $0.0267 | $0.032 |
| 10-page document (2,500 words) | 3,333 | $0.0667 | $0.08 |
| 1,000 lines of code | 5,000 | $0.10 | $0.12 |
| 100K token document | 100,000 | $2.00 | $2.40 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Large 200K-token context window
- ✓Step-by-step chain-of-thought reasoning
- ✓Multimodal: understands images as well as text
Limitations
- –Higher latency; reasoning tokens add to output cost
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate o3 Pro Costs
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