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Sentence Transformers: all-mpnet-base-v2

Sentence Transformers: all-mpnet-base-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: all-mpnet-base-v2 across the whole OpenRouter catalogue.

Vendor Sentence-transformersType Embeddings512 contextPrice $0.01 / 1M tokens
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The all-mpnet-base-v2 embedding model encodes sentences and short paragraphs into a 768-dimensional dense vector space, providing high-fidelity semantic embeddings well suited for tasks like information retrieval, clustering, similarity scoring, and...
Related embeddings models
Sentence Transformers: all-MiniLM-L12-v2$0.01 / 1M tokensSentence Transformers: all-MiniLM-L6-v2$0.01 / 1M tokensAmazon: Titan Multimodal Embeddings G1$0.80 / 1M tokensAmazon: Titan Embeddings G1 - Text$0.10 / 1M tokensAmazon: Titan Text Embeddings V2$0.02 / 1M tokensBAAI: bge-base-en-v1.5$0.01 / 1M tokens
FAQ
What is Sentence Transformers: all-mpnet-base-v2?
The all-mpnet-base-v2 embedding model encodes sentences and short paragraphs into a 768-dimensional dense vector space, providing high-fidelity semantic embeddings well suited for tasks like information retrieval, clustering, similarity scoring, and...
What is the context window of Sentence Transformers: all-mpnet-base-v2?
Sentence Transformers: all-mpnet-base-v2 supports a 512-token context window.
How much does Sentence Transformers: all-mpnet-base-v2 cost?
Sentence Transformers: all-mpnet-base-v2 is priced at $0.01 / 1M tokens via OpenRouter.
What are alternatives to Sentence Transformers: all-mpnet-base-v2?
Comparable embeddings models include Sentence Transformers: all-MiniLM-L12-v2, Sentence Transformers: all-MiniLM-L6-v2, Amazon: Titan Multimodal Embeddings G1, Amazon: Titan Embeddings G1 - Text.
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