o1 model

Extracted Attributes

• Type

  Generative Pre-trained Transformer (GPT)

• Impact

  Crucial step towards AI Agents, potential for SaaS industry disruption, reshaping Systems of Record

• Series

  o series of reasoning models

• Developer

  OpenAI

• Key Feature

  Chain of Thought reasoning

• Model Family

  o1, o1-preview, o1-mini, o1 pro mode

• Primary Capabilities

  Complex reasoning, science, programming, mathematics, coding, problem-solving

• Additional Capability

  Ability to analyze and respond to uploaded images

• Distinguishing Feature

  Takes time to 'think' before answering

• Hallucination Reduction

  Reduces hallucination rates compared to previous models

• Mathematics Performance

  83% accuracy on International Mathematics Olympiad problems

Timeline

• A preview of the o1 model was released by OpenAI. (Source: summary, Wikipedia)

  2024-09-12

• The full version of the o1 model became available to ChatGPT users. (Source: summary, Wikipedia)

  2024-12-05

OpenAI o1

OpenAI o1 is a generative pre-trained transformer (GPT), the first in OpenAI's "o" series of reasoning models. A preview of o1 was released by OpenAI on September 12, 2024. o1 spends time "thinking" before it answers, making it better at complex reasoning tasks, science and programming than GPT-4o. The full version was released to ChatGPT users on December 5, 2024.

Web Search Results

• OpenAI Unveils O1 - 10 Key Facts About Its Advanced AI Models

  OpenAI’s o1 models represent a significant advancement in AI reasoning and problem-solving, particularly excelling in STEM fields such as mathematics, coding and scientific reasoning. With the introduction of both the high-performing o1-preview and the cost-effective o1-mini, these models are optimized for a range of complex tasks while ensuring improved safety and ethical adherence through extensive red teaming. Editorial Standards Reprints & Permissions [...] Hallucination in large language models refers to the generation of false or unsupported information. OpenAI’s o1 model tackles this issue using advanced reasoning and the chain-of-thought process, allowing it to think through problems step-by-step. The o1 models reduce hallucination rates compared to previous models. Evaluations on datasets such as SimpleQA and BirthdayFacts show o1-preview outperforming GPT-4 in delivering factual, accurate responses, lowering the risk of false information. [...] OpenAI has introduced the o1 series, its most sophisticated AI models to date, which are designed to excel at complex reasoning and problem-solving tasks. The o1 models, which use reinforcement learning and chain-of-thought reasoning, represent a significant advancement in AI capabilities.

• How OpenAI's o1 model works behind-the-scenes & what we can ...

  The o1 model family, developed by OpenAI, represents a significant advancement in AI reasoning capabilities. These models are specifically designed to excel at complex problem-solving tasks, from mathematical reasoning to coding challenges. What makes o1 particularly interesting is its ability to break down problems systematically and explore multiple solution paths—skills that were previously challenging for language models. [...] Reverse engineering o1 reveals its fundamental reliance on chain-of-thought reasoning. This isn't just a feature—it's the cornerstone of how the model operates. Behind the scenes, o1 combines sophisticated initialization (including fine-tuning on reasoning examples) with reinforcement learning that rewards effective problem-solving behavior. What makes it particularly interesting is how it searches through multiple possible solution paths, using an internal reward system to identify the optimal

• OpenAI o1 explained: Everything you need to know - TechTarget

  As opposed to OpenAI's prior models, the o1 models are designed to reason better. That is, instead of just providing a response as quickly as possible and using the basic transformer approach of weights and understanding what word or words belong together, o1 "thinks" about what the right approach is to solve a problem. The process of reasoning about a given problem in response to a user query is intended to provide a potentially more accurate response to certain types of complex queries. [...] The o1 models were initially intended to be preview models, designed to provide users -- as well as OpenAI -- with a different type of LLM experience than the GPT-4o model. As is the case with all OpenAI's LLMs, o1 is a transformer model. It can be used to summarize content, generate new content, answer questions and write application code. This article is part of ### What is enterprise AI? A complete guide for businesses [...] There are three models in the OpenAI o1 model family, and each model is designed to meet a specific target use case. ### o1 The full o1 model is the graduated version of the original o1-preview release. According to OpenAI, the release version introduces significant improvements, including a 34% reduction in major errors on difficult problems. It also includes the ability to analyze and respond to uploaded images. ### o1-mini

• OpenAI o1 Guide: How It Works, Use Cases, API & More - DataCamp

  OpenAI o1 is a new AI model focused on complex reasoning tasks like math, coding, and puzzles. It uses chain-of-thought reasoning to break down problems, improving accuracy compared to older models like GPT-4. ### What tasks are OpenAI o1 models particularly good at? OpenAI o1 excels at math problems, coding challenges, data analysis, and science tasks that require multi-step reasoning. ### How can I access OpenAI o1? [...] In addition to the standard o1 model, OpenAI has also introduced o1 pro mode. This model is designed for users who require even more advanced reasoning capabilities and are willing to sacrifice some speed for increased accuracy and the ability to handle highly complex tasks. [...] Although o1’s full capabilities are still being developed, its current features are already promising. As OpenAI continues to refine the model, o1 is likely to become a valuable tool for developers, fostering innovation and influencing the future of software development. As described in the benchmarks section, the o1 model shows great potential in the coding field. HTML Snake with OpenAI o1 ### Mathematics

• 12 Jaw Dropping OpenAI-O1 Use Cases in 2025 - Redblink

  Reasoning Abilities: The o1 models utilize advanced techniques like Deep Reinforcement Learning and a “Chain of Thought” approach to improve problem-solving capabilities. They are designed to think through complex problems step-by-step, similar to human reasoning. Performance Metrics: In tests, the o1 model achieved an impressive 83% accuracy on International Mathematics Olympiad problems, significantly outperforming GPT-4o, which scored only 13%. [...] All-in-all, OpenAI’s O1 model is a testament to how far AI has come and its potential to reshape our future. From creative writing to business automation, its versatility is unmatched. The O1 model is already revolutionizing industries by automating tasks, generating insights, and enhancing user experiences. ## Ready to Leverage the O1 Model for Your Business? [...] Artificial Intelligence (AI) has evolved remarkably, and OpenAI’s latest O1 model is proof of just how far we’ve come. This state-of-the-art model is a powerhouse capable of handling complex tasks, from natural language processing to creative brainstorming, making it a valuable asset in numerous industries. Today, we’ll explore 12 incredible use cases where OpenAI’s O1 model shines, demonstrating its versatility and transformative potential!