How is the Azure Computer Vision pricing model typically structured?

• A. Based on user subscriptions
• B. By the number of API calls made
• C. On a flat monthly fee
• D. According to image storage capacity

Answer: (B)

The Azure Computer Vision pricing model is typically structured by the number of API calls made. This means that users are charged based on how often they use the service to process images or analyze visual content. Each API call, such as image tagging, optical character recognition (OCR), or content moderation, incurs a specific cost. This usage-based pricing allows organizations to pay only for what they use, making it flexible and scalable based on their specific needs.

By structuring the pricing this way, users can optimize costs depending on their demand. For example, if an application or service experiences high usage occasionally, costs will reflect that usage without a commitment to a fixed monthly fee or subscription, which might not correlate with actual usage.

Additionally, pricing based on API calls supports developers and businesses as they can predict costs based on expected usage patterns. This model contrasts with other options that imply a more static cost arrangement, such as a flat monthly fee or user subscriptions, which do not account for variations in actual usage.