by BAAI
bge-large-en, open-sourced by the Beijing Academy of Artificial Intelligence (BAAI), is currently the most powerful vector representation model for Chinese tasks, with its semantic representation capabilities comprehensively surpassing those of similar open-source models.
bge-large-en, open-sourced by the Beijing Academy of Artificial Intelligence (BAAI), is currently the most powerful vector representation model for Chinese tasks, with its semantic representation capabilities comprehensively surpassing those of similar open-source models.
On AIHubMix, bge-large-en costs $0.07 per million input tokens and $0.07 per million output tokens.
bge-large-en accepts text and image input.
bge-large-en supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
bge-large-en 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 bge-large-en — no other code changes needed.
bge-large-en is developed by BAAI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
bge-large-zh, open-sourced by the Beijing Academy of Artificial Intelligence (BAAI), is…
BAAI/bge-large-en-v1.5 is a large English text embedding model and part of the BGE (BAAI…
BAAI/bge-large-zh-v1.5 is a large Chinese text embedding model and part of the BGE (BAAI…
BAAI/bge-reranker-v2-m3 is a lightweight multilingual reranking model. It is developed…
Use bge-large-en via the AIHubMix unified API — one interface for every major LLM.