by 智谱 ChatGLM
A text vector model that converts input text into vector representations to work with a vector database and provide an external knowledge base for a large model. The model supports custom vector dimensions; it is recommended to choose 256, 512, 1024, or 2048 dimensions.
A text vector model that converts input text into vector representations to work with a vector database and provide an external knowledge base for a large model. The model supports custom vector dimensions; it is recommended to choose 256, 512, 1024, or 2048 dimensions.
embedding-3 has a 8,000 token context window.
On AIHubMix, embedding-3 costs $0.07 per million input tokens and $0.07 per million output tokens.
embedding-3 accepts text input.
embedding-3 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to embedding-3 — no other code changes needed.
embedding-3 is developed by 智谱 ChatGLM. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
A text vector model that converts input text information into vector representations so…
Use embedding-3 via the AIHubMix unified API — one interface for every major LLM.