o1-pro
Compute-intensive variant of o1, released March 2025, that allocates more processing time per query for higher accuracy on hard problems.
Key Specifications
- Context window
- 200K tokens
- Max output
- 100K tokens
- Knowledge cutoff
- Released
- Inputs
- Text, image
- Capabilities Show details
- Reasoning Thinks before it answers, always on or as a switchable mode. Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON. MCP Connect to services via Model Context Protocol.
Hosted API pricing
| Provider | Input /1M tokens | Output /1M tokens | Cached input /1M | Cost at 10M in + 2M out | |
|---|---|---|---|---|---|
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$150.00 | $600.00 | $2,700.00 | View | |
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$150.00 | $600.00 | $75.00 | $2,700.00 | View |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Similarly priced models
The models nearest o1-pro by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs o1-pro |
|---|---|---|---|---|---|---|
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$16.6667 | $10.00 | $50.00 | 1M | Jan 2026 | −93% |
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$16.6667 | $10.00 | $50.00 | 1M | Jun 2026 | −93% |
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$16.6667 | $10.00 | $50.00 | 1M | Apr 2026 | −93% |
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$22.50 | $15.00 | $60.00 | 200K | Oct 2023 | −90% |
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$30.00 | $20.00 | $80.00 | 200K | Jun 2024 | −87% |
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$32.50 | $15.00 | $120.00 | 400K | Sep 2024 | −86% |
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$35.00 | $30.00 | $60.00 | 8K | Dec 2023 | −84% |
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$45.50 | $21.00 | $168.00 | 400K | Aug 2025 | −80% |
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$55.00 | $30.00 | $180.00 | 1M | Aug 2025 | −76% |
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$55.00 | $30.00 | $180.00 | 1M | Dec 2025 | −76% |
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$225.00 | $150.00 | $600.00 | 200K | Oct 2023 |
Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Frequently Asked Questions
What is o1-pro good for?
Hard, low-volume problems where paying for more compute per query is fine: OpenAI says the compute-heavy variant of o1 answers more accurately.
When is o1-pro not a good fit?
Almost all routine work: it sits at the very top of OpenAI's price range. No web search, code execution or file input, its knowledge is years old, and OpenAI plans to shut it down in October 2026.
What is the cheapest way to run o1-pro?
The cheapest hosted rate is $150.00 / $600.00 per 1M tokens via OpenAI.
How does o1-pro compare with o3-pro?
OpenAI says o3-pro is to o3 what o1-pro was to o1: it spends more compute to think longer and give more reliable answers, can search the web, run Python and analyze files as it reasons, and beat o1-pro in OpenAI's own evaluations. Same 200K-token context and text and image input. o1-pro lists at 650% more per 1M input tokens and 650% more per 1M output tokens than o3-pro. It came out 3 months earlier and has an older knowledge cutoff (October 2023 against June 2024).
Can I self-host o1-pro?
No. OpenAI does not publish the weights; o1-pro is available only through hosted APIs.
More from OpenAI
| Model | Context | Input /1M | Output /1M |
|---|---|---|---|
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1M | $30.00 | $180.00 |
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1M | $30.00 | $180.00 |
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400K | $21.00 | $168.00 |
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8K | $30.00 | $60.00 |
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400K | $15.00 | $120.00 |
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200K | $20.00 | $80.00 |
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200K | $15.00 | $60.00 |
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1M | $10.00 | $50.00 |