I'll modify the AI Model Selection dropdown to match the models listed in the "Learn about AI models" guide, showing only the model names. Here's the updated section:

These changes will:

1. Update the AI Model Selection dropdown to include only the model names, matching the list in the "Learn about AI models" guide.
2. Modify the AIModel type to include all the new model options.
3. Update both the primary and secondary model selection dropdowns (if dual model is enabled) with the same list of models.

This ensures consistency between the model selection options and the information provided in the AI Model Guide, making it easier for users to choose their preferred model(s) based on the information they've learned about each model's capabilities.

I understand you want to optimize the layout from a user experience perspective, allowing users to compare the Speed and Performance of different models more intuitively without showing specific numerical values. I'll modify the AIModelGuide.tsx file to create a more visual comparison using bars instead of numbers. This will allow users to quickly see which models are faster or have better performance at a glance.

Here's the updated CardContent section of the AIModelGuide.tsx file:

This updated version of the AIModelGuide component makes the following improvements:

1. It uses a grid layout to align the model names with their respective speed and performance bars.
2. Instead of showing numerical values, it uses colored bars to represent speed (blue) and performance (green).
3. The length of each bar visually represents the relative speed or performance of each model.
4. A key is provided at the bottom to explain what the bars represent.
5. The models are listed in the same order as they appear in the dropdown, maintaining consistency.

This visual representation allows users to quickly compare the models:

• Longer blue bars indicate faster models.
• Longer green bars indicate higher-performing models.

Users can now easily see at a glance which models are faster or have better performance without needing to interpret specific numbers. This approach simplifies the comparison process and makes it more intuitive, improving the overall user experience.