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BAAI: bge-m3

BAAI: bge-m3 is an embeddings model from Baai, with a 8K-token context window, priced at $0.01 / 1M tokens. Fully Informed benchmarks and compares models like BAAI: bge-m3 across the whole OpenRouter catalogue.

Vendor BaaiType Embeddings8K contextPrice $0.01 / 1M tokens
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The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.
Related embeddings models
BAAI: bge-base-en-v1.5$0.01 / 1M tokensBAAI: bge-large-en-v1.5$0.01 / 1M tokensGoogle: Gemini Embedding 001$0.15 / 1M tokensGoogle: Gemini Embedding 2$0.20 / 1M tokensGoogle: Gemini Embedding 2 Preview$0.20 / 1M tokensIntfloat: E5-Base-v2$0.01 / 1M tokens
FAQ
What is BAAI: bge-m3?
The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.
What is the context window of BAAI: bge-m3?
BAAI: bge-m3 supports a 8K-token context window.
How much does BAAI: bge-m3 cost?
BAAI: bge-m3 is priced at $0.01 / 1M tokens via OpenRouter.
What are alternatives to BAAI: bge-m3?
Comparable embeddings models include BAAI: bge-base-en-v1.5, BAAI: bge-large-en-v1.5, Google: Gemini Embedding 001, Google: Gemini Embedding 2.
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