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Meet OpenAI’s o1-pro: ChatGPT’s Most Expensive Model

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OpenAI has expanded O1 Pro Mode to its API, offering developers enhanced AI capabilities with greater accuracy and reliability. With pricing set at $150 per million input tokens and $600 per million output tokens, it caters to industries requiring robust AI reasoning for complex challenges.

OpenAI has introduced O1 Pro Mode to its developer API, offering a more powerful version of its O1 reasoning model. Initially available exclusively to ChatGPT Pro subscribers, O1 Pro Mode is now accessible to select developers who have spent at least $5 on OpenAI API services.

While it promises greater accuracy and improved reasoning capabilities, the pricing has raised eyebrows. OpenAI is charging $150 per million input tokens (roughly 750,000 words) and $600 per million output tokens — a sharp increase from the cost of using GPT-4.5 and O1. This makes O1 Pro Mode twice as expensive as GPT-4.5 for input and ten times more costly than standard O1.

Why O1 Pro Mode?

O1 Pro Mode was designed for users tackling particularly challenging tasks that demand reliable, high-quality AI-generated outputs. By allocating more computational resources during both training and inference, the model can deliver consistently better results.

“O1 Pro in the API is a version of O1 that uses more computing to think harder and provide even better answers to the hardest problems,” an OpenAI spokesperson told TechCrunch. “After getting many requests from our developer community, we’re excited to bring it to the API to offer even more reliable responses.”

This strategic move caters to industries requiring high-stakes decision-making, including scientific research, financial modeling, and medical diagnostics.

Performance and User Feedback

Despite its advancements, O1 Pro Mode hasn’t been free from criticism. While it has demonstrated superior reliability in certain scenarios, early user feedback has highlighted areas where the model still struggles.

  • Sudoku puzzles and optical illusion challenges have tripped up O1 Pro Mode, indicating a gap in spatial and logical reasoning.
  • Internal OpenAI benchmarks from late 2024 showed only marginal improvements over the standard O1 model for coding and math-related problems.
  • However, it excelled in providing more consistent results for complex tasks, making it particularly useful for scenarios where accuracy is non-negotiable.

How It Compares: O1 Pro Mode vs. Other Models

OpenAI has emphasized the reliability of O1 Pro Mode, particularly when evaluated using its “4/4 reliability” benchmark. This metric requires the model to solve a given problem correctly on four consecutive attempts.

In contrast to standard O1, O1 Pro Mode demonstrated significant improvement in accuracy and consistency, particularly in fields like:

  • Mathematics: Successfully solving high-complexity problems in math competitions like AIME (American Invitational Mathematics Examination).
  • Coding: Improved performance in coding challenges hosted by platforms like Codeforces.
  • Scientific Analysis: Providing reliable insights for PhD-level scientific inquiries.

Pricing and Developer Access

The exclusivity and pricing of O1 Pro Mode reinforce its positioning as a premium solution. Developers must meet a minimum spending threshold of $5 on API services before gaining access.

Feature Standard O1 O1 Pro Mode
Input Cost (Per Million Tokens) $75 $150
Output Cost (Per Million Tokens) $60 $600
Reasoning Quality Moderate High
Accuracy Reliable Highly Reliable
Best for General Use Complex Reasoning

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