Models Model details

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