BAAI BGE-M3 in AI answers

Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this

BAAI/bge-m3 is a pre-trained sentence-transformer model released by the Beijing Academy of Artificial Intelligence and hosted on Hugging Face for computing sentence similarity. It targets the sentence-similarity task and is available via Hugging Face Inference Endpoints, using the sentence-transformers library. The model page shows strong usage and benchmarking metrics, including high download counts and MTEB benchmark results.

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Hosted on Hugging Face

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#10 of 122 in Embedding Model APIs and Services

The market map · 5 of 100 labelled

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1.5%1.0%0.5%0%

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What shifted for BAAI BGE-M3

BAAI BGE-M3 Slipping: RankingBAAI BGE-M3 ranked #3 in Embedding Model APIs and Services last week and #4 this week
BAAI BGE-M3 Gaining: CompetitorBAAI BGE-M3 moved ahead of OpenAI in Embedding Model APIs and Services

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CompetitionGoogle Cloud Document AI is the top alternative to BAAI BGE-M32 questionsView competitors
Platform visibilityBAAI BGE-M3 is more visible on Google AI Mode

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BAAI BGE-M3huggingface.co

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Hosted on Hugging Face

Parse Score

#10 of 122 in Embedding Model APIs and Services

The market map · 5 of 100 labelled

Embedding Model APIs and Services →

Question	Visibility for this question
The problem is, our embedding API costs are too high. What's the best open-source embedding model that is fast and performs well?	32.6
What's the best embeddings model and API for multilingual semantic search?	13.1
My goal is to automatically evaluate different embedding models for our specific domain. What's the best embedding model evaluation framework?	1.2
Our RAG (Retrieval-Augmented Generation) pipeline is retrieving irrelevant chunks of text. Who offers re-ranking services to improve retrieval accuracy?	1.2
I'm trying to turn a large set of complex PDFs into vectors. What data ingestion pipeline is best for handling complex layouts and tables?	1.0
How can I build a reliable question-answering bot over our company wiki?	1.0

Question	Visibility for this question
The problem is, our embedding API costs are too high. What's the best open-source embedding model that is fast and performs well?	32.6
What's the best embeddings model and API for multilingual semantic search?	13.1
My goal is to automatically evaluate different embedding models for our specific domain. What's the best embedding model evaluation framework?	1.2
Our RAG (Retrieval-Augmented Generation) pipeline is retrieving irrelevant chunks of text. Who offers re-ranking services to improve retrieval accuracy?	1.2
I'm trying to turn a large set of complex PDFs into vectors. What data ingestion pipeline is best for handling complex layouts and tables?	1.0
How can I build a reliable question-answering bot over our company wiki?	1.0

BAAI BGE-M3 in AI answers

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