Sentence Transformers: all-MiniLM-L6-v2

sentence-transformers/all-minilm-l6-v2

Created Nov 17, 2025512 context

$0.005/M input tokens$0/M output tokens

The all-MiniLM-L6-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, enabling high-quality semantic representations that are ideal for downstream tasks such as information retrieval, clustering, similarity scoring, and text ranking.

Sentence Transformers: all-MiniLM-L6-v2

sentence-transformers/all-minilm-l6-v2

Sentence Transformers: all-MiniLM-L6-v2

sentence-transformers/all-minilm-l6-v2

Sample code and API for all-MiniLM-L6-v2

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Using third-party SDKs

Sample code and API for all-MiniLM-L6-v2

OpenRouter normalizes requests and responses across providers for you.

Using third-party SDKs