Sentence Transformers
Sentence Transformers: paraphrase-MiniLM-L6-v2
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 tasks.
Input
$0.005
/ 1M tokens · Token reference
Output
$0
/ 1M tokens · Token reference
Context window
512
tokens
Embeddings output · Token reference fields do not establish an output-unit price.
Limits
Context
512
tokens
Max output
460
90% of the context window
Parameters
22,713,728
Model facts
Author
Sentence Transformers
Tokenizer
Other
Modality
Text -> Embeddings
License
Apache-2.0
Created
Nov 18, 2025
Hugging Face
sentence-transformers/paraphrase-MiniLM-L6-v2
Publication status
Hugging Face: verifiedLicense: publishedParameter count: published
Modalities
Input · TextOutput · Embeddings