sentence-transformersListed Feb 28, 2023

all-mpnet-base-v2

A sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various NLP tasks such as clustering, sentiment analysis, and question answering.

Context window512
Max output460
Provider endpoints1
Benchmark results0
Measured performance

Benchmark results

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Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

1 quote
Input
$0.005
Output
$0.00
USD / 1M tokens
512 context460 max outputPrice source ↗Checked Oct 17, 2026
Endpoint IDsentence-transformers/all-mpnet-base-v2

Model specifications

Developer
sentence-transformers
Modality
Embedding
Context
512 tokens
Maximum output
460 tokens
Weights
Open weights
Provider listed
Feb 28, 2023
First discovered
Oct 16, 2026

Exact identities

  • openroutersentence-transformers/all-mpnet-base-v2
  • deepinfrasentence-transformers/all-mpnet-base-v2

Sources

Updated Oct 17, 2026

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