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.

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, Amazon: Titan Multimodal Embeddings G1, Amazon: Titan Embeddings G1 - Text.