The introduction ofOpenAI O1-Preview marks a decisive turning point in the development of artificial intelligence models. In comparison with Gpt-4o, this new model demonstrates an ability to solve complex problems with much deeper reasoning. This article walks you through the key differences between these two models, outlining what that means for users and specific use cases.
The main difference between O1-Preview and Gpt-4o lies in how they approach complex tasks. While Gpt-4o excels in quick and general answers, O1-Preview was designed to “take the time” to think before responding. This allows him to better manage tasks that require several stages of reasoning, such as complex mathematical and scientific problems.
Gpt-4o has demonstrated his ability to solve a variety of problems, but he has encountered difficulties with sophisticated tasks. In tests like the International Mathematics Olympiad (IMO), Gpt-4o only succeeded in 13% of the problems, while O1-Preview Has solved some 83%, a performance that highlights her ability to think more deeply.
The performances of O1-Preview in coding and workflow management is another area where it stands out. Its ability to generate and debug complex code as well as manage multi-step processes makes it a major asset for developers and engineers. Whether it's to automate tasks or to execute complicated algorithms, O1-Preview stands out as a model of excellence for these specific uses.
OpenAI has also launched O1-Mini, a lighter version, specially optimized for coding tasks, while being 80% cheaper what O1-Preview. Although faster and more economical, this release is still a powerful tool for developers working in technical areas.
One of the highlights of O1-Preview is its advanced security. This model is better protected against attempts to bypass security protocols, called “jailbreaking.” During rigorous tests, o1-preview got a score of 84 out of 100 in terms of safety, compared to a score of 22 for Gpt-4o. This makes it an ideal choice for sensitive environments where data security and privacy are critical.
Gpt-4o remains a versatile solution for a wide range of tasks that require quick responses adapted to different contexts. However, O1-Preview shines in specific scenarios that require thorough reasoning and complex task management. For example, O1-Preview is particularly suitable for science researchers or engineers who work on complex algorithms or equations.
That said, this advanced reasoning ability comes at a cost: o1-preview takes longer to generate responses. This relative slowness can limit its effectiveness in situations that require quick responses, such as customer support.
OpenAI O1-Preview and Gpt-4o are not in direct competition, but are complementary in their approach. While Gpt-4o is an excellent choice for general tasks that require speed and fluidity, O1-Preview is a tool of choice for users who need to manage complex tasks, involving numerous reasoning steps.
By combining these two paradigms, OpenAI is pushing the boundaries of artificial intelligence. With O1-Preview, they are paving the way for a new generation of AI models, where thinking and safety take center stage. In the future, we may see a merging of the capabilities of Gpt-4o and O1-Preview, creating a model capable of combining speed and depth of analysis.
Sources:
OpenAI
DocsBot AI
Jonathan
CEO - AI Strategist
jonathan.delmas@strat37.com
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