With the ever-expanding capabilities of ChatGPT, it can be challenging to determine which model is best suited for specific tasks. In this section, we'll explore the strengths and use cases of each ChatGPT model, helping you maximize your productivity and efficiency.

GPT-4 Omni: This model is the default choice for most tasks, including custom GPT prompts, feature requests, email marketing, YouTube content creation, and fine-tuning models. It's also the preferred option for using temporary chat to keep your conversations organized.

GPT-4 Omni with Scheduled Tasks: This model is designed for setting reminders and follow-ups, allowing you to automate your learning and task management.

GPT-4.5: While touted as the latest and greatest model, it hasn't found a strong use case yet. It's slower than GPT-4 Omni and less capable at coding than the 03 Mini series. However, it can provide up-to-date information by searching the web.

Reasoning Models: The 01 and 01 Pro models are powerful tools for advanced reasoning and problem-solving. They excel at tasks like optimizing code and finding the best solutions. The 03 Mini series, particularly 03 Mini High, is exceptional for coding and web-based research.

Legacy Models: Avoid using the GPT-4 Legacy and GPT-4 Omni Mini models, as they offer limited capabilities and are less cost-effective compared to the newer, more powerful options.

By understanding the strengths and use cases of each ChatGPT model, you can streamline your workflow, improve your productivity, and unlock the full potential of this transformative technology.

GPT-4 Omni is the default model used by the author for a wide range of tasks in their workspace. It is described as a reliable and capable model that can handle most questions and queries effectively.

The author uses GPT-4 Omni for the following tasks:

• Customizing GPT prompts, such as the GPT Prompt Fixer
• Cleaning up email marketing and writing YouTube titles and descriptions
• Formatting JSON for fine-tuning models
• Using temporary chat to keep conversations organized

The author finds GPT-4 Omni to be a versatile and efficient model that meets the needs of their various workflows. It serves as a reliable workhorse, providing consistent and high-quality results across a diverse range of applications.

The GPT-4 Omni with Scheduled Tasks model is designed to help you automate your reminders and follow-ups. This model allows you to instruct ChatGPT to create tasks and set reminders for you, ensuring you never forget important deadlines or action items.

To use this model, simply ask ChatGPT to "Remind me to [task] at [time]." The model will then create a scheduled task and set a notification to alert you at the specified time. This can be particularly useful for daily or recurring tasks, such as learning a new language, taking a break, or following up on a project.

The scheduled tasks are stored within the ChatGPT interface, making it easy to manage and track your reminders. Additionally, you can enable desktop notifications to receive alerts even when you're not actively using ChatGPT.

This model can help you stay organized, improve your productivity, and ensure you never miss an important task or deadline. By automating your reminders, you can free up mental space and focus on the work that truly matters.

ChatGPT's latest model, GPT-4.5, is touted as their largest and best model yet. While it has the ability to search the web and provide up-to-date information, the author has not found it to be the most useful model in their workflow.

Compared to the GPT-4 Omni model, GPT-4.5 is slower and less capable at coding tasks. The author prefers to use the GPT-3.1 models, such as 3.1 Mini and 3.1 Mini High, for their reasoning and coding abilities.

The main advantage of GPT-4.5 is its ability to search the web and provide the most recent information. However, the author finds that this feature is not always necessary, and the slower performance of the model outweighs the benefits. They suggest that free users should not feel like they are missing out by not having access to this model.

Overall, the author does not find GPT-4.5 to be a must-have model in their workflow and prefers to use the more capable and efficient GPT-3.1 models for their various tasks.

The reasoning models in the ChatGPT ecosystem are powerful tools that excel at complex problem-solving and decision-making. These models include 01, 01 Pro, and 03 Mini High.

The 01 Pro model is a high-end executive-level reasoning tool. It can handle extensive prompts, thoroughly analyze the provided information, and deliver well-thought-out solutions. This model is particularly useful when you need to tackle complex problems that require in-depth reasoning and exploration. For example, when building an AI video editor, the author used 01 Pro to optimize the logging output in Google Cloud Run, reasoning through the code and providing a tailored solution.

The basic 01 model is a good middle ground when you don't want to wait for the extended reasoning time of 01 Pro. It still provides advanced reasoning capabilities, but with a faster turnaround time of 15-20 seconds.

The 03 Mini High model is a powerful coding-focused reasoning tool. It excels at tasks that require web-based research and coding solutions. For instance, when the author needed to learn how to write a YouTube comment via the YouTube Data API, 03 Mini High was able to search the web, reason through the problem, and provide the necessary code snippet.

These reasoning models are valuable assets in the ChatGPT ecosystem, each serving a specific purpose and catering to different needs. By understanding the strengths and use cases of these models, users can leverage them effectively to tackle a wide range of complex challenges.

The 03 Mini model within the ChatGPT ecosystem is a cost-effective solution for developers who require advanced coding capabilities. While the 03 Mini High model offers superior reasoning and performance, the 03 Mini model can be a more budget-friendly option, especially when scaling your applications.

The key advantage of the 03 Mini model is its pricing structure. At $0.15 per 1 million tokens, it is significantly more affordable than the $1.10 per 1 million tokens for the 03 Mini High model. This can be particularly beneficial for developers who have high-volume coding requirements or need to optimize their costs.

Despite its lower pricing, the 03 Mini model still maintains impressive coding abilities. It can effectively search the web and provide accurate, up-to-date code snippets and solutions. For tasks such as writing YouTube comments via the YouTube Data API or other common coding challenges, the 03 Mini model can be a reliable and cost-effective choice.

While the 03 Mini High model may offer slightly more advanced reasoning and performance, the 03 Mini model can be a suitable alternative for many developers, especially those working on smaller-scale projects or with tighter budgets. By leveraging the 03 Mini model's capabilities, developers can achieve their coding goals without breaking the bank.

The legacy models offered by ChatGPT, such as GPT-4 Omni and GPT-4 Omni Mini, should be avoided in most cases. These models are outdated and offer inferior performance compared to the newer, more advanced models.

GPT-4 Omni, in particular, is significantly more expensive than the newer models, costing $250 per million tokens for output, compared to just $10 per million tokens for the GPT-4 Omni model. Additionally, the output quality of the legacy models is generally not as good as the newer models.

Similarly, GPT-4 Omni Mini, which is priced at $0.15 per million tokens, is not recommended for most use cases. While it may be tempting to use this model due to its lower cost, the output quality is often not as good as the newer models, such as GPT-3 Mini High, which offers better performance at a similar price point.

In summary, it is best to avoid the legacy models offered by ChatGPT and instead focus on the newer, more advanced models that offer better performance and value for your money.

ChatGPT has evolved rapidly, with OpenAI continuously releasing new and improved models to cater to diverse user needs. As the technology advances, it's crucial to understand the strengths and limitations of each model to maximize their potential.

The GPT-4.5 model, while touted as the latest and greatest, may not always be the best choice for every task. Its strength lies in providing up-to-date information, but it can be slower and less adept at coding compared to other models like GPT-3 Mini High.

The reasoning models, such as GPT-1 Pro and GPT-1, offer powerful problem-solving capabilities, allowing users to tackle complex challenges by leveraging their advanced reasoning skills. These models excel at tasks that require in-depth analysis and creative problem-solving.

For specific use cases, the GPT-3 Mini High model shines, particularly in areas like coding and web-based research. Its ability to quickly search the latest information and provide concise, actionable solutions makes it a valuable tool for developers and researchers.

By understanding the unique strengths of each ChatGPT model, users can unlock the full potential of this transformative technology. Whether it's streamlining workflows, automating repetitive tasks, or tackling complex problems, the diverse range of ChatGPT models provides a versatile toolset to enhance productivity and creativity.