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Sentence Transformers

all-mpnet-base-v2

sentence-transformers/all-mpnet-base-v2 · rates as of · Benchmarks · Plans · Calculator

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...

Cheapest input
$0.005
$/MTok · OpenRouter
Cheapest output
$0
$/MTok
Context
512
tokens
Offers
1
1 source

Offers

Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number.

SourceProviderInputOutputCache readContext
OpenRoutercheapestsentence-transformers/all-mpnet-base-v2OpenRouter$0.005$0$0512

Capabilities

  • In: text
  • Out: embeddings

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