A community clay-pit booking shop must handle a photo of the pit board plus a long safety note, and legal has already ruled out one license type. How should those model differences inform selection?
Select an answer to reveal the explanation.
Short Explanation
Capabilities, window size, and license type are the ingredients list — they inform the meal, they are not a fifth mystery recipe. Multimodal needs, long context, and allowed license types feed the official selection criteria. They do not replace those criteria.
Full Explanation
Models differ in functional capabilities (for example multimodal or reasoning), technical features (for example context-window size), and licensing (commercial versus open source). Those differences inform shortlisting against the official criteria such as performance, fine-tuning potential, recurring cost, and community/support. They are not a separate invented scorecard, nor a mandate for shadow AI.