Which AI model should I use for my Knowledge Collection?

GPT-4o and GPT-4o mini are variants of the GPT-4 model, and the choice between them depends on the specific use case and resource availability.

This information is up to date showing supported models as of 16th August 2024.

When to Use GPT-4o:

1. Complex Tasks: If your task requires deep understanding, nuanced language generation, or handling complex prompts, GPT-4o is the better choice. It’s more powerful and capable of providing detailed and accurate responses.

2. High-Quality Content: For generating high-quality, polished content, GPT-4o is preferable. This includes tasks like content creation, advanced problem-solving, and any scenario where the accuracy and richness of language matter.

3. Research and Analysis: If you’re doing in-depth research, analysing complex data, or needing detailed explanations, GPT-4o’s superior capabilities are beneficial.

4. Limited Resource Constraints: If you have the computational resources and budget to support it, GPT-4o should be your go-to model due to its higher performance.
   
   

When to Use GPT-4o Mini:

1. Simple or Routine Tasks: For tasks that are relatively straightforward, such as summarisation of simple text, basic Q&A, or when the complexity of language isn't a priority, GPT-4o mini is sufficient.

2. Cost and Resource Efficiency: If you need to manage costs or are operating in an environment with limited computational resources, GPT-4o mini is more efficient. It’s designed to be a lighter, more resource-friendly option.

3. Real-Time Applications: If latency is a concern, such as in real-time applications or where speed is crucial, GPT-4o mini might be a better fit due to its smaller size and faster response times.

4. Scaling: When you need to deploy models at scale or in environments where resource constraints are significant, GPT-4o mini allows for broader deployment without sacrificing too much in terms of performance.

5. Large Output: If you need more output from the model, GPT-4o mini supports up to 4 times bigger output than 4o.