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o1-pro

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OpenAI's o1-pro delivers advanced reasoning over text, images, and files.

OpenAIMultimodalClosed
Vision
Model page
Updated 2026-06-15

About o1-pro

Built as a closed-weight system, o1-pro emphasizes internal chain-of-thought processes to handle difficult problems. Its multimodal design lets users combine visual data with lengthy documents or codebases. This architecture supports extended context without requiring open-source access.

The model is typically used for research analysis, technical troubleshooting, and multi-step planning that benefits from careful deliberation. Users supply images alongside text or files to receive structured, reasoned responses. Its closed nature keeps training details and weights private while still offering broad input flexibility.

Capabilities

Complex multi-step reasoning
Multimodal input handling (text, image, file)
Long-context comprehension
Code generation and debugging
Mathematical and scientific analysis
Logical deduction with chain-of-thought

How o1-pro compares

o1-pro (striped bar) vs other multimodal on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · o1-pro ranks #132 of 132

$50.0
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GPT-5 Pro
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Claude Opus 4.7
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Claude Opus 4.6
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GPT-5.2 Pro
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GPT-5.5 Pro
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GPT-5.4 Pro
$600.0
o1-pro

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long-context multimodal analysis

Processes up to 200,000 tokens of combined text and image input, making it suitable for reviewing extensive reports that include charts, diagrams, and supporting visuals.

Step-by-step technical reasoning

Handles chained logical deductions across large codebases or scientific papers where intermediate steps must be tracked over many pages of context.

Cross-modal research synthesis

Integrates visual data from figures with surrounding textual explanations in academic or technical documents that exceed typical context limits.

Strengths & limitations

Strengths

  • +Strong performance on hard reasoning tasks
  • +Effective vision-text integration
  • +Reliable with large contexts
  • +High accuracy in STEM domains

Limitations

  • Slower inference due to reasoning steps
  • Higher cost than standard models
  • Can overthink simple queries

Cost calculator

Estimate what o1-pro would cost for your usage.

$0.4500
per request
$4,500
estimated / month

Based on o1-pro's $150.00/1M input · $600.00/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "openai/o1-pro",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: openai/o1-pro

Editor's verdict

Our take on o1-pro

o1-pro is OpenAI's proprietary multimodal with a 200K-token context window.

At $600.00 per 1M output tokens, it is premium-priced for its class.

It is available through OpenAI's API and aggregators like OpenRouter.

Best suited to strong performance on hard reasoning tasks and effective vision-text integration.

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Frequently asked questions

The model supports a context length of 200,000 tokens.

User reviews

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