ChatGPT Models Guide: Unlocking the Power of GPT o3-mini and More

Welcome to our guide on ChatGPT models! Whether you're using GPT o3-mini, GPT 4, or other iterations, each model brings unique features designed to enhance your productivity and streamline your workflow. In this article, we’ll explore the differences between the various ChatGPT models, their strengths, and how they work within the ChatGPT Toolbox extension to help you organize and manage your conversations effectively. Whether you're a casual user or part of a larger team, understanding these models can take your ChatGPT experience to the next level.

Five bar charts arranged in a two-row layout. Each chart compares the performance of various OpenAI models across different benchmarks. The top-left chart is titled “AIME 2024 – Competition Math” and shows that model o1 achieves 74.3% accuracy, o3-mini scores 87.3%, o3 (no tools) scores 91.6%, and o4-mini (no tools) reaches 93.4%. The top-middle chart, titled “AIME 2025 – Competition Math,” shows a similar pattern: o1 gets 79.2%, o3-mini scores 86.5%, o3 (no tools) reaches 88.9%, and o4-mini (no tools) leads with 92.7%. The top-right chart is titled “Codeforces – Competition Code” and uses ELO ratings instead of percentages: o1 has 1891, o3-mini scores 2073, o3 (with terminal) hits 2706, and o4-mini (with terminal) slightly surpasses it at 2719. On the bottom-left, the chart titled “GPQA Diamond – PhD-Level Science Questions” shows o1 at 78.0%, o3-mini at 77.0%, o3 (no tools) at 83.3%, and o4-mini (no tools) at 81.4%. The bottom-right chart, “Humanity’s Last Exam – Expert-Level Questions Across Subjects,” features seven bars with the following scores: o1-pro at 8.12%, o3-mini at 13.40%, o3 (no tools) at 20.32%, o3 (python + browsing + tools) at 24.90%, o4-mini (no tools) at 14.28%, o4-mini (with python + browsing) at 17.70%, and Deep research at 26.60%. All bars are color-coded in light-to-dark yellow tones based on model performance.

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An illustration of a pricing bar graph with five categories: cheap, lower, medium, high, and expensive. Each category has a bar with a different color. The bars are arranged from left to right in ascending order of price. The background is white.

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A cinematic medium shot of ChatGPT 4.5 model. It is a state-of-the-art language model by OpenAI, with a highly advanced architecture that can understand and generate human-like text. The model is shown in a clean, modern office setting with a large window behind it. The background contains various office elements such as plants, a whiteboard, and a lamp.

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A photo of the ChatGPT 3.5 model, a large language model developed by OpenAI. The model is housed in a server room with multiple racks of servers. There are also several monitors displaying complex code. The room has a modern design with a few chairs and a table. The walls are painted white.

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A photo of a ChatGPT o1 model with a transparent body and a wooden base. The model is placed on a workstation with multiple computer monitors and a keyboard. The background is a neutral color.

ChatGPT o1: Advanced Reasoning & Model Variations

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A photo of the ChatGPT new model. It is a large-scale machine learning model with a transformer architecture. The model has billions of parameters and is designed to understand and generate human-like text. The model is hosted on a powerful server and can process and generate text in real-time.

ChatGPT New Model: Detailed Model Spec & Analysis

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A blog post image with the text "Introducing the new O3-mini model of ChatGPT". There is an illustration of a robot with a human-like face holding a microphone in a conference room setting.

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A gradient background with a purple to orange gradient. The text "ChatGPT 4 vs Free" is displayed in white. Beneath the text, there is a comparison chart with two rows of bullet points. The first row, labeled "ChatGPT 4," has bullet points about having more advanced AI capabilities, being more accurate, and being able to understand a wide range of topics. The second row, labeled "Free," has bullet points about being less accurate, having limited AI capabilities, and being slower.

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