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Sentence Transformers: paraphrase-MiniLM-L6-v2

Sentence Transformers: paraphrase-MiniLM-L6-v2 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: paraphrase-MiniLM-L6-v2 across the whole OpenRouter catalogue.

Vendor Sentence-transformersType Embeddings512 contextPrice $0.01 / 1M tokens
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The paraphrase-MiniLM-L6-v2 embedding model converts sentences and short paragraphs into a 384-dimensional dense vector space, producing high-quality semantic embeddings optimized for paraphrase detection, semantic similarity scoring, clustering, and lightweight retrieval...
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: paraphrase-MiniLM-L6-v2?
The paraphrase-MiniLM-L6-v2 embedding model converts sentences and short paragraphs into a 384-dimensional dense vector space, producing high-quality semantic embeddings optimized for paraphrase detection, semantic similarity scoring, clustering, and lightweight retrieval...
What is the context window of Sentence Transformers: paraphrase-MiniLM-L6-v2?
Sentence Transformers: paraphrase-MiniLM-L6-v2 supports a 512-token context window.
How much does Sentence Transformers: paraphrase-MiniLM-L6-v2 cost?
Sentence Transformers: paraphrase-MiniLM-L6-v2 is priced at $0.01 / 1M tokens via OpenRouter.
What are alternatives to Sentence Transformers: paraphrase-MiniLM-L6-v2?
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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