---
id: "sentence-transformers/paraphrase-minilm-l6-v2"
also: ["sentence-transformers/paraphrase-minilm-l6-v2-20251117", "sentence-transformers/paraphrase-MiniLM-L6-v2"]
cheapest_list_usd_per_m: "0.005 in, 0.0 out, at deepinfra on openrouter"
context: 512
max_output: 460
input: ["text"]
output: ["embeddings"]
released: "2025-11-18"
api: ["/api/v1/embeddings"]
endpoints: 2
gateways: "openrouter (2)"
no_training: 1
trains: 0
retains_prompts: 0
---
# Sentence Transformers: paraphrase-MiniLM-L6-v2

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...