Skip to content
/
OpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Apps
  • Models
  • Providers
  • Pricing
  • Enterprise
  • Labs

Company

  • About
  • Announcements
  • CareersHiring
  • Privacy
  • Terms of Service
  • Support
  • State of AI
  • Works With OR
  • Data

Developer

  • Documentation
  • API Reference
  • SDK
  • Status

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon for sentence-transformers

Sentence Transformers: all-mpnet-base-v2

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 text ranking.

Modalities

Price

$0.005

Context

512

Weekly Rank

#368on OpenRouter

Overview
Providers
Performance
Pricing
Apps
Activity
Uptime
API

Performance for all-mpnet-base-v2

Compare different providers across OpenRouter

Effective Pricing for all-mpnet-base-v2

Actual cost per million tokens across providers over the past hour

Apps using all-mpnet-base-v2

Top public apps this month

Recent activity on all-mpnet-base-v2

Total usage per day on OpenRouter

Not enough data to display yet.

Uptime stats for all-mpnet-base-v2

Uptime stats for all-mpnet-base-v2 across all providers

Providers for all-mpnet-base-v2

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Sample code and API for all-mpnet-base-v2

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.