paraphrase-MiniLM-L6-v2

Available

The paraphrase-MiniLM-L6-v2 embedding model converts sentences and short paragraphs into a 384-dimensional dense vector space, producing high-quality semantic embeddings optimized for paraphrase detection, semantic similarity scoring, clustering, and lightweight retrieval...

Context
512 tokens
Dimensions
—
Input / 1M tokens
$0.005per 1M tokens
Listed since
Nov 18, 2025

Prices and model data from OpenRouter

Where it's availableProviders · 1

ProviderInput / 1M tokensOutput / 1M tokensStatus
OpenRouter$0.005FreeAvailable