
OpenAI What is o3-mini
The OpenAI o3-mini was developed by theA small inference model from OpenAI Inc... The model is designed to meet the needs of developers and users for efficient, low-cost AI solutions.
o3-mini inherits the strengths of OpenAI's previous models and makes significant improvements in inference capability, feature richness, cost-effectiveness, and security. It supports function calls, streaming, structured output, etc., and can be combined with a search function to provide up-to-date answers and links to relevant web resources. In addition, o3-mini is optimized for problems in STEM fields (science, technology, engineering, and mathematics) and performs well.
As OpenAI continues to promote the innovation and development of AI technology, the launch of o3-mini will further expand the application scenarios of AI technology and bring users a more high-quality and efficient AI experience.
OpenAI o3-mini model features
-
reasoning ability::
- The o3-mini has a powerful reasoning ability that allows it to retrieve relevant information from the web and combine it with existing knowledge to make more precise judgments and answers. This analytical ability allows it to mimic the human thought process and find solutions more effectively.
- The o3-mini is flexible enough to adapt to different task requirements at different reasoning intensities. At high reasoning intensity, it outperforms o1-mini and o1; at medium reasoning intensity, it is comparable to o1, but achieves comparable performance to o1 with faster response time in math, programming, and science; and at low reasoning intensity, its performance is comparable to o1-mini.
-
cost-effectiveness::
- Compared to OpenAI's previous model, o3-mini has a significant price reduction. Compared to o1-mini, its price is reduced by 631 TP4T. pricing is $1.10 per million input tokens and $4.40 per million output tokens. Although the o3-mini is still more expensive compared to the DeepSeek R1, it has made a significant improvement in price/performance ratio.
-
feature-rich::
- o3-mini supports function calls, streaming, structured outputs, etc. Developers can choose the reasoning strength according to their needs, balancing the depth of thinking and response speed.
- It now supports integration with the search function, which can provide up-to-date answers and links to relevant web resources. This signals that OpenAI is gradually integrating search functionality into itsinference modelCenter.
-
safety::
- OpenAI used a thoughtful alignment approach when training o3-mini to ensure that the content it generates is safer, more ethical, and reduces the risk of the model generating bad or harmful responses.
OpenAI o3-mini Application Scenarios
-
Developer Tools::
- o3-mini is OpenAI's first small inference model to support developer-requested features, allowing developers to leverage its powerful inference capabilities and rich functionality to optimize the performance and efficiency of their applications.
-
STEM fields::
- o3-mini focuses on problems related to STEM fields such as programming, math, and science, as well as logical reasoning problems. It excels when it comes to more technical and complex tasks and helps developers solve challenges in code writing, mathematical computation, engineering design, and more.
-
Education and training::
- o3-mini can show users their thinking process by clicking the "Reasoning" button. This feature will greatly enhance the users' interest in learning and help them to acquire more in-depth knowledge in a relaxing and enjoyable atmosphere.
OpenAI o3-mini User Access and Restrictions
-
access authority::
- ChatGPT Plus, Team and Pro users are the first to use o3-mini, with enterprise users accessing it a week later. For API users, o3-mini has been deployed to the Chat Completions API, Assistants API and Batch API for developers in tiers 3-5.
-
speed limit::
- The rate limit for ChatGPT Plus and Team users has been increased from 50 messages per day (with o1-mini) to 150 messages per day (with o3-mini). o3-mini is available to ChatGPT Pro users with unlimited access. free users can also experience o3-mini through the "Reasoning" option. Free users can also experience o3-mini through the "Reasoning" option.
data statistics
Relevant Navigation

The world's first large model of mathematical reasoning in open source form to reach the gold medal level of the International Mathematical Olympiad (IMO), realizing the rigor of reasoning and the ability to solve difficult mathematical problems through a self-verification framework.

Yan model
Rockchip has developed the first non-Transformer architecture generalized natural language model with high performance, low cost, multimodal processing capability and private deployment security.

QwQ-32B
Alibaba released a high-performance inference model with 32 billion parameters that excels in mathematics and programming for a wide range of application scenarios.

DeepSeek-VL2
Developed by the DeepSeek team, it is an efficient visual language model based on a hybrid expert architecture with powerful multimodal understanding and processing capabilities.

DeepSeek-R1
The AI model, which is open-source under the MIT License, has advanced reasoning capabilities and supports model distillation. Its performance is benchmarked against OpenAI o1 official version and has performed well in multi task testing.

Nova Sonic
Amazon has introduced a new generation of generative AI speech models with unified model architecture, natural and smooth voice interaction, real-time two-way conversation capability and multi-language support, which can be widely used in multi-industry scenarios.

XAI
Valued at over $100 billion, it focuses on building high-performance multimodal large models and superb arithmetic infrastructure to promote general artificial intelligence (AGI) technology breakthroughs and cross-industry applications on the ground.

WebLI-100B
Google DeepMind launches a 100 billion visual language dataset designed to enhance the cultural diversity and multilingualism of AI models.
No comments...
