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Version: v0.15.0

OpenAI Costs

This service uses OpenAI for automatic tagging. This means that you'll incur some costs if automatic tagging is enabled. There are two type of inferences that we do:

Text Tagging

For text tagging, we use the gpt-3.5-turbo-0125 model. This model is extremely cheap. Cost per inference varies depending on the content size per article. Though, roughly, You'll be able to generate tags for almost 1000+ bookmarks for less than $1.

Image Tagging

For image uploads, we use the gpt-4-turbo model for extracting tags from the image. You can learn more about the costs of using this model here. To lower the costs, we're using the low resolution mode (fixed number of tokens regardless of image size). The gpt-4 model, however, is much more expensive than the gpt-3.5-turbo. Currently, we're using around 350 token per image inference which ends up costing around $0.01 per inference. So around 10x more expensive than the text tagging.