TIPS
EAP
This latest iteration of our "Pick the Right Model for the Job" article now includes updated information from OpenAI on its latest models. Using the right AI model for the right task is crucial for achieving optimal results while at the same time managing costs. Different AI models are designed for specific purposes; using the appropriate model ensures higher accuracy, efficiency, and reliability. Additionally, selecting the right model can provide cost arbitrage benefits, enabling organizations to manage costs effectively. Organizations can optimize resource allocation and reduce expenses by leveraging various models tailored to their strengths and cost-effectiveness. This approach enhances performance and contributes to more efficient financial management.
How to Change Models in TrustBolt
One of the key features of TrustBolt is its ability to provide easy access for any user to utilize any models to which they are entitled. We take care of all the different aspects of using various models, so you can focus on confidently leveraging the available AI services every day.
Before entering a prompt, use the model selector to pick the model you would like to use from the models available to you based on your entitlements. It's as easy as that!
What ChatGPT model to Use?
Don't worry, we also find the number of OpenAI's chatGPT models confusing, and it's our job to understand them! We have taken everything we know and summarised it in the table below. For more information on these models, please visit OpenAI's dedicated page on this topic.
| o3 | OpenAI o3 is OpenAI's most powerful reasoning model across coding, math, science, visual perception, and more. It is ideal for complex queries requiring multi-faceted analysis and whose answers may not be immediately obvious. It performs well at visual tasks, such as analyzing images, charts, and graphics. |
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o4-mini |
OpenAI o4-mini is a smaller model optimized for fast, cost-efficient reasoning—it achieves remarkable performance for its size and cost, particularly in math, coding, and visual tasks. Evaluations have shown that it also outperforms its predecessor, the o3-mini, on non-STEM tasks, as well as in domains such as data science. |
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GPT-4.5 |
Available only as a research preview, GPT-4.5 is OpenAI's largest and model for chat to date. By scaling unsupervised learning, GPT-4.5 improves its ability to recognize patterns, draw connections, and generate creative insights without reasoning. Its more natural interactions, broader knowledge base, and enhanced ability to follow user intent, it useful for tasks like improving writing, programming, and solving practical problems. |
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OpenAI o1 and o1-mini |
The OpenAI O1 and O1-mini models are a series of reasoning models designed to solve complex problems. While GPT-4 remains the best option for most prompts, the O1 series excels at handling complex, problem-solving tasks in domains such as research, strategy, coding, math, and science. These models come with some limitations, so it's worth reviewing OpenAI's own pages if you want to use these. |
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GPT-4o |
GPT-4o is OpenAI's flagship model that can reason across audio, vision, and text in real-time. GPT-4o is available in ChatGPT and the API as a text and vision model (ChatGPT will continue to have support for voice via the pre-existing Voice Mode feature) initially. |
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GPT-4.1 |
GPT-4.1 is a specialized model that excels at coding tasks. Compared to GPT-4o, it's even stronger at precise instruction following and web development tasks, and offers an alternative to OpenAI o3 and OpenAI o4-mini for simpler, everyday coding needs. |
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GPT-4.1 mini |
GPT-4.1 mini is a fast, capable, and efficient small model and excels in instruction-following, coding, and overall intelligence. |
