OpenAI o1: The New AI Models in Comparison – What Can They Do?

With the introduction of OpenAI o1, OpenAI has unveiled a new generation of AI models designed for tackling complex tasks in areas such as mathematics, programming, and science. Compared to GPT-4 (and its variant GPT-4o), the o1 model stands out for its ability to handle deep, multi-step problem-solving, while GPT-4 covers a wider range of use cases and offers tools like web browsing, file uploads, and data analysis. This makes GPT-4 more universally applicable, whereas o1 excels in specialized, often complex domains that require the AI to "think" more intensely.

Capabilities and Use Cases

The o1 series, consisting of o1-preview and the smaller, more cost-effective o1-mini, was developed to enable precise analyses of complicated problems. Developers particularly appreciate o1-mini for tasks that prioritize speed and efficiency, such as writing and debugging code. Scientists and mathematicians benefit from o1-preview, which focuses on complex calculations and scientific proofs. In fields like quantum physics or biology, o1 has proven to be a valuable research tool.
In contrast, GPT-4 remains the more versatile model. It supports advanced tools such as web browsing, file uploads, and vision tools, making it better suited for everyday and professional scenarios like data analysis or research. For most general applications, GPT-4 is the better option, while o1 shines in very specific, deep tasks​.

Comparison with Other AI Models

Compared to other major AI models like Google Gemini and Anthropic Claude, OpenAI o1 shows clear strengths in complex problem-solving. Google Gemini is strong in real-time data processing and applications that rely on current knowledge, while Claude is known for its strict safety and alignment guidelines. OpenAI o1, however, excels in strategic planning, scientific analysis, and projects that require intensive multi-step reasoning. This makes it particularly attractive to users in science and research who need to solve challenging, often interdisciplinary problems​.

Limitations and Costs

Despite its impressive capabilities, OpenAI o1 has some significant limitations. Compared to GPT-4, o1 lacks access to advanced features like web browsing, memory, file uploads, and vision and speech tools. These limitations mean that o1 is currently only of interest to users working explicitly on complex problem-solving. For everyday tasks, it is less suitable, as GPT-4's broader functionality is more convincing.
Another obstacle is the usage limits. ChatGPT Plus and Team users have weekly limits of 30 messages for o1-preview and 50 messages for o1-mini. These limits are expected to expand over time, but they currently restrict usage significantly, especially for longer or more frequent tasks.
In terms of cost, o1-mini is 80% cheaper than o1-preview, making it a cost-effective solution for developers focused on speed and efficiency. Developers working on programming or other technical applications, where broad world knowledge is not required, can benefit greatly from o1-mini. The o1 models are currently only available to paid users on ChatGPT Plus and Enterprise, with free-tier access planned for the future​.

Outlook and Future Developments

The development of OpenAI o1 is still in its early stages, and OpenAI plans to further expand the model's functionalities. It is expected that o1 will soon gain access to tools like web browsing, file uploads, and possibly memory functions. This would make the model more interesting to a broader user base. However, the model's focus remains on deep, analytical tasks that require more reasoning and precise problem-solving. This distinguishes o1 from GPT-4 and other AI models, which are more geared towards versatile use cases and real-time processing​.

Conclusion

OpenAI o1 offers exceptional performance in specific areas, particularly in solving complex scientific problems. Compared to GPT-4 and other competitors like Google Gemini and Anthropic Claude, o1 is characterized by its ability for deep, analytical thinking. The model is a valuable tool for scientists, mathematicians, and developers working on highly demanding projects. Despite its limitations and current usage restrictions, o1 represents an important step in the development of powerful, intelligent systems designed for specialized applications. However, for broader use cases, GPT-4 with its versatile and advanced functionality remains the best choice.

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