text-embedding-ada-002

An embedding model that can convert text into vector representations, making it useful for a variety of natural language processing tasks. This older model has a cost of $0.10 per 1M tokens.

Supports a unknown token context window. Handles Text, Image, Video, Audio, Transcription, Text-to-Speech inputs and outputs. Supports fine-tuning for custom applications.