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Sentence Transformers: multi-qa-mpnet-base-dot-v1

Sentence Transformers: multi-qa-mpnet-base-dot-v1 is an embeddings model from Sentence-transformers, with a 512-token context window, priced at $0.01 / 1M tokens. Fully Informed benchmarks and compares models like Sentence Transformers: multi-qa-mpnet-base-dot-v1 across the whole OpenRouter catalogue.

Vendor Sentence-transformersType Embeddings512 contextPrice $0.01 / 1M tokens
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The multi-qa-mpnet-base-dot-v1 embedding model transforms sentences and short paragraphs into a 768-dimensional dense vector space, generating high-quality semantic embeddings optimized for question-and-answer retrieval, semantic search, and similarity-scoring across diverse content.
Related embeddings models
Sentence Transformers: all-MiniLM-L12-v2$0.01 / 1M tokensSentence Transformers: all-MiniLM-L6-v2$0.01 / 1M tokensBAAI: bge-base-en-v1.5$0.01 / 1M tokensBAAI: bge-large-en-v1.5$0.01 / 1M tokensBAAI: bge-m3$0.01 / 1M tokensGoogle: Gemini Embedding 001$0.15 / 1M tokens
FAQ
What is Sentence Transformers: multi-qa-mpnet-base-dot-v1?
The multi-qa-mpnet-base-dot-v1 embedding model transforms sentences and short paragraphs into a 768-dimensional dense vector space, generating high-quality semantic embeddings optimized for question-and-answer retrieval, semantic search, and similarity-scoring across diverse content.
What is the context window of Sentence Transformers: multi-qa-mpnet-base-dot-v1?
Sentence Transformers: multi-qa-mpnet-base-dot-v1 supports a 512-token context window.
How much does Sentence Transformers: multi-qa-mpnet-base-dot-v1 cost?
Sentence Transformers: multi-qa-mpnet-base-dot-v1 is priced at $0.01 / 1M tokens via OpenRouter.
What are alternatives to Sentence Transformers: multi-qa-mpnet-base-dot-v1?
Comparable embeddings models include Sentence Transformers: all-MiniLM-L12-v2, Sentence Transformers: all-MiniLM-L6-v2, BAAI: bge-base-en-v1.5, BAAI: bge-large-en-v1.5.
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