OpenAI o1 vs OpenAI's GPT-4o Comparison

OpenAI announced its newest large language model, the OpenAI o1, on September 12, 2024. This model has more advanced reasoning and safe output capabilities than other OpenAI models such as GPT-4o. The OpenAI o1 model offers various advantages such as advanced coding to individual users and enterprises. If you are curious about the OpenAI o1 model and its performance against its predecessor GPT-4o, we’ve got you covered!

In this article, we will explore the OpenAI o1 model and compare it to the GPT-4o model!

Ready? Let’s dive in!

TL; DR

• OpenAI announced its latest large language model, o1-preview, with strong reasoning skills on September 12, 2024.
• The OpenAI o1 model demonstrates high performance in reasoning, coding, and mathematical tasks.
• Users can access the OpenAI o1 model via ChatGPT Plus or as an API.
• The OpenAI o1 model offers superior reasoning performance compared to its predecessor, the GPT-4o model.
• The OpenAI o1 model completes natural language tasks with higher quality than the GPT-4o model.
• According to OpenAI's tests, users prefer the o1-preview model's outputs for reasoning tasks.
• The OpenAI o1 model can produce safer outputs than the GPT-4o model, thanks to its chain-of-thought capabilities.
• If you're seeking an AI co-pilot that can integrate advanced large language models, including OpenAI o1 and GPT-4o, into your enterprise, TextCortex is the recommended solution.

What is OpenAI o1?

OpenAI o1 model is a large language model developed by OpenAI that generates output with the chain of thought system. The OpenAI o1 model divides its thoughts into different steps, similar to humans, and improves its response at each step. The OpenAI team used reinforcement learning algorithms to train the response generation process of this model.

What’s new in OpenAI o1?

The OpenAI o1 model is more successful than its predecessors in both reasoning and generating safe outputs. This is because it generates outputs with its new chain of thought system. The OpenAI o1 model was trained using a large amount of data with the reinforcement learning method. The more the OpenAI o1 model thinks about the input and divides it into more stages while generating outputs, the higher quality output it can generate.

OpenAI o1 Pricing

If you want to use the OpenAI o1 model via ChatGPT, you need to purchase the ChatGPT Plus subscription which costs $20. If you want to use the OpenAI o1 model as an API and utilize it to power your internal AI chatbot, you need to pay $15 per million input tokens and $60 per million output tokens.

How to Access OpenAI o1?

There are two main ways to access the OpenAI o1 model; API and ChatGPT. If you have a ChatGPT Plus subscription, you can select the OpenAI o1 model from the dropdown menu at the top left of the ChatGPT web application. 

The second way to access the OpenAI o1 model is to use it as an API. Like all of its models, OpenAI offers the OpenAI o1 model as an API. However, the OpenAI o1 model charges 3 times more for input tokens and 4 times more for output tokens than its predecessor, the GPT-4o model.

OpenAI o1 vs GPT-4o Comparison

OpenAI o1 model and GPT-4o model are two large language models developed by the same company but offer different performances. The OpenAI o1 model managed to outperform its predecessor GPT-4o model in most benchmarks. Let’s compare the OpenAI o1 and GPT-4o models to discover their differences.

Reasoning Performance

The OpenAI o1 model demonstrates superior performance compared to the GPT-4o model in reasoning tasks due to its implementation of the chain-of-thought method for analyzing inputs and producing outputs. This method involves breaking down an input into stages, analyzing each stage, and reapplying parameters throughout the process. When tackling complex reasoning problems, such as mathematical calculations, the OpenAI o1 model divides operations into steps, solving each part of the problem sequentially to arrive at an accurate final solution. In benchmark tests, the OpenAI o1 model has significantly outperformed the GPT-4o model across various assessments, including AIME 2024, Codeforces, and GPQA Diamond.

Natural Language Performance

The OpenAI o1 model is good at reasoning as well as performing natural language tasks. The OpenAI o1 model outperformed the GPT-4o model in MMLU categories such as global facts, econometrics, formal logic, professional law, and exams such as AP Physics 2 and AP English Lit. The only exam where GPT-4o and the OpenAI o1 model scored equally was AP English Language.

Coding 

As in every competitive competition, there is an Elo system used to determine the skill level of the participants in coding competitions. The OpenAI team used the International Olympics of Informatics (IOI) test hosted by Codeforces to evaluate the coding skills of their new LLM model. According to this demonstration, the OpenAI o1 model managed to outperform its predecessor, the GPT-4o model, which already has high coding and reasoning skills.

Human Preference Evaluation

No matter how high-quality output a large language model generates, its responses must be preferable to humans. Thus, the ability of a large language model to generate outputs can be measured by analyzing open-ended prompts. The OpenAI team conducted a test in which the outputs of the GPT-4o and OpenAI o1 models were presented to human participants anonymously to learn the percentage of preference for the outputs of the o1-preview model. The participants chose the better option among the two options without knowing which model was generating them. According to the results of this test, the OpenAI o1 model outperformed the GPT-4o model in all categories except Personal Writing and Editing Text.

Safety

The OpenAI o1 model’s chain of thought system opens up new opportunities in safety. The OpenAI team discovered that integrating policies into the chain of thought process of the o1-preview model and teaching it human values ​​is effective. The OpenAI team developed the process of generating safe and harmless outputs by teaching their new model of o1-preview safety rules and how to reason them into context. The OpenAI team has thoroughly studied the safe output-generating methods and results of o1-preview and GPT-4o models, you can check the OpenAI System Card for more information.

A Better Alternative for Enterprises: TextCortex

If you are looking for an AI assistant that can access models like OpenAI’s o1-preview, GPT-4o, as well as Claude 3.5 Sonnet, and combine these LLMs with advanced AI features that can be tailored to your business, then TextCortex is designed for you.

TextCortex is an AI co-pilot that allows users to utilize multiple LLMs for specific tasks, offering features like web search and internal data integration (knowledge bases). TextCortex is available as a web application and browser extension that integrates with 30,000+ websites and apps.

With TextCortex, you can use large language models such as OpenAI o1, GPT-4o, and Claude 3 Opus to complete different enterprise tasks and analyze your internal data. Using TextCortex knowledge bases, you can upload your internal documents and generate concise and accurate analysis outputs using state-of-the-art LLMs such as OpenAI o1, increasing the overall efficiency of your enterprise. See the results from one of our case studies:

• TextCortex was implemented for Kemény Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 3 work days per month per employee on average).
• AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
• Employee confidence in using and working with AI increased by 60%.‍
• The implementation results in a 28x return on investment (ROI).

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