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...

embeddings

Catalog only: this interface is not available on Jevrouter or has no active image provider.

Provider-supported parameters

These are upstream capabilities. Jevrouter supports the subset described in the API contract; chat input is currently text only.

Capabilities are imported from OpenRouter’s catalog. This does not mean every model has been independently tested by Jevrouter.

Catalog updated: 2026-11-11T21:54:46.092Z · Price version: cmvv9vcnm1o96id10fb3k9tjg:2

Provider pricing fields · USD per indicated unit

{
  "prompt": "0.000000005",
  "completion": "0"
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Plan your integration

Connect with the OpenAI Python SDK →Estimate this model’s cost →Budgets, request status and safe retries →

Source: OpenRouter model catalog. Imported descriptions and capabilities are provider declarations, not independent benchmark results. Jevrouter currently uses OpenRouter as its managed upstream.