The new ChatGPT-o1-mini is perfect for science, especially math and coding

OpenAI also released its large AI language model ChatGPT-o1-mini today, designed to be a cost-effective alternative to o1-preview while maintaining high performance on reasoning tasks. Specifically optimized for STEM-related fields like math and coding, o1-mini is a smaller but powerful model that offers comparable results to its larger counterparts on complex tasks. With lower cost, faster speed, and increased availability, ChatGPT-o1-mini is ready to bring advanced AI reasoning to a wider audience.

ChatGPT-o1-preview and ChatGPT-o1-mini are now available in API level 5 for developers. o1-preview features strong inference capabilities and extensive knowledge of the world. o1-mini is faster, 80% cheaper, and competitive with o1-preview for coding tasks.

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What is ChatGPT o1-mini?

OpenAI o1-mini is a new AI model designed to provide a cost-effective solution for users who need advanced reasoning capabilities without the broader knowledge of the world offered by larger models such as OpenAI o1. ChatGPT-o1-mini is specifically optimized for reasoning tasks in STEM fields such as math, coding, and science. OpenAI developed this model as part of its ongoing efforts to make cutting-edge AI technology more accessible by reducing computational costs and increasing speed.

ChatGPT-o1-mini is built using the same high-performance reinforcement learning (RL) pipeline as the larger o1 model, allowing it to perform comparably well on complex reasoning tasks while being 80% cheaper. OpenAI aims to bridge the gap between high-performance AI models and practical, affordable solutions for developers, researchers, and educators.

Efficiency and cost-effectiveness

One of the standout features of ChatGPT-o1-mini is its remarkable performance compared to its price. While o1-preview and o1 provide powerful reasoning capabilities for a wide range of tasks, they come at a higher computational cost. On the other hand, o1-mini achieves almost the same performance in specific domains such as mathematics and coding, while being much more affordable.

On the American Invitational Mathematics Examination (AIME), which is administered to the most capable high school students in the US, o1-mini scored 70.0%, slightly behind o1’s 74.4%. This score places ChatGPT-o1-mini in the top 500 students in the country, a remarkable achievement for a model designed with cost-effectiveness as its top priority.

Similarly, in coding, ChatGPT-o1-mini achieves an impressive ELO score of 1650 on Codeforces, a popular competitive development platform, which puts it in the 86th percentile of human competitors. This score is close to the o1’s ELO of 1673, making the o1-mini a strong competitor in coding challenges, while also being faster and more affordable. When it comes to benchmarks like HumanEval and Cybersecurity Capture the Flag Challenges, the o1-mini shows solid performance, proving its capabilities in specialized tasks.

ChatGPT-o1-mini Applications

The primary strength of the o1-mini is its specialization in STEM-related tasks, making it a valuable tool for professionals, researchers, and educators focused on math, coding, and science. Its cost-effective nature opens up opportunities for organizations and individuals who require advanced reasoning capabilities without the need for broader knowledge of the world. Here are some potential applications for OpenAI o1-mini:

• Mathematical competitions and education: ChatGPT-o1-mini’s success in competitions such as AIME makes it a useful tool for high school students, teachers, and users of educational platforms who want to improve their math and problem-solving skills.
• Competition programming: With excellent performance in the Codeforces environment, o1-mini is a practical choice for developers who want to solve coding problems, optimize algorithms, or participate in coding competitions.
• STEM research: Scientists in fields such as physics, biology, and chemistry can use ChatGPT-o1-mini to solve complex tasks that require precise problem solving, making it a valuable resource in scientific research.
• Cost-effective AI development: For companies and developers who need reasoning-focused AI without the computational overhead of larger models, o1-mini provides a powerful alternative.

The model’s specialization in STEM subjects allows it to excel in areas where logical reasoning and technical problem-solving are key. For example, it can be deployed in educational platforms that focus on math and science tutoring, or in competitive programming environments where speed and accuracy are essential.

Safety and alignment

OpenAI has made significant improvements to security and alignment in the development of ChatGPT-o1-mini. Like o1-preview, o1-mini was trained using OpenAI’s security and alignment techniques, ensuring that the model adheres to human values ​​and ethical guidelines while running. This focus on security is particularly important to prevent misuse or unintended outcomes, especially in domains where AI can have a direct impact on real-world tasks.

One of the most important security features of ChatGPT-o1-mini is its improved resistance to jailbreak attempts. Compared to GPT-4o, o1-mini showed a 59% improvement in resisting attempts to bypass security protocols. This improved jailbreak resistance was confirmed using an internal version of the StrongREJECT dataset, a tool that OpenAI uses to test the resistance of its models to manipulative or malicious prompts.

Before deploying the o1-mini, OpenAI conducted extensive security assessments, including red-teaming exercises and readiness assessments. These assessments ensure that the model meets the same rigorous security standards as its larger counterparts, providing a safe AI environment for users across applications.

Limitations and future plans

Although OpenAI ChatGPT-o1-mini is a powerful model for reasoning in STEM fields, it has some limitations in non-STEM fields. For example, its factual knowledge of general topics such as history, geography, biographies, and trivia is not as robust as larger models such as GPT-4o. This trade-off between cost-effectiveness and broad knowledge of the world is expected, given that o1-mini is optimized for tasks requiring intensive reasoning.

OpenAI plans to address these limitations in future iterations of ChatGPT-o1-mini. By expanding the model’s capabilities beyond STEM subjects, OpenAI aims to make o1-mini a more versatile tool that can handle a wider range of tasks without compromising its cost and speed advantages.

In addition, OpenAI is exploring ways to extend ChatGPT-o1-mini’s capabilities to other modalities and specialties, such as including more natural language tasks and increasing the model’s ability to handle non-STEM information. These improvements will make o1-mini an even more powerful tool for users across industries.

The release of o1-mini marks a significant step forward in AI development, offering a cost-effective model that excels at reasoning while maintaining high safety standards. As OpenAI continues to refine the model, it is expected to become a key tool for developers, researchers, and educators who need advanced AI capabilities at an affordable price. To learn more about OpenAI’s new ChatGPT-o1-mini large language model, head to the official OpenAI website for more detailed evaluations and data.

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