[Breaking News] OpenAI o3-mini Presentation Summary

[Breaking News] OpenAI o3-mini Presentation Summary

OpenAI o3-mini is a new AI model aimed at low-cost, high-performance reasoning that features strong performance in STEM (science, technology, engineering, and mathematics). It has been developed as a faster, more accurate, and cost-effective AI than traditional models.


  1. Key Features

High-performance STEM inference: Has strengths in mathematics, coding, and scientific problem solving.

Developer Feature Support: includes function call, structured output, developer message functionality.

Inference level adjustable:

Low (speed optimization)

Medium (Balanced Speed and Accuracy)

High (Using Maximum Inference Ability)

Improved response speed: 24% faster than previous models.

Non-vision feature support: Image analysis recommends using OpenAIo1.


  1. Performance Comparison

Math (AIME 2024): Outperformed OpenAI o1-mini in solving high-level problems.

PhD-level science (GPQA Diamond): on par with OpenAI o1 at high inference levels.

Coding (SWE-bench): Improving competitive programming and software engineering capabilities.

General Knowledge Evaluation: better than o1-mini, preferred by 56% of users.


  1. Deployment and Accessibility

ChatGPT Plus, Team, Pro Users: Out-of-the-box.

Enterprise users: Coming in a week.

Free users: Experience by selecting a specific option.

API delivery: Priority deployment to Tier 3 to 5 developers.


  1. Speed and Safety

Response speed: 7.7 seconds on average (24% improvement over the previous 10.16 seconds).

Enhanced safety: higher security and vulnerability protection compared to GPT-4o.


  1. Future prospects

Continue to reduce AI costs and optimize performance.

Balance intelligence, efficiency, and safety of AI models.


a key point

Powerful performance in STEM (mathematics, science, coding).

Improved speed and accuracy over previous models.

Add developer-friendly features and adjust the level of reasoning.

Immediately available to ChatGPT Plus/Team/Pro users.

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