sentence-transformers
Sentence Transformers: all-mpnet-base-v2
sentence-transformers/all-mpnet-base-v2
The all-mpnet-base-v2 embedding model encodes sentences and short paragraphs into a 768-dimensional dense vector space, providing high-fidelity semantic embeddings well suited for tasks like information retrieval, clustering, similarity scoring, and...
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: 2026-11-11T20:54:46.466Z · Price version: cmvv9vcpd1o9oid103uryzxdx:2
Provider pricing fields · USD per indicated unit
{
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}Plan your integration
Source: OpenRouter model catalog. Imported descriptions and capabilities are provider declarations, not independent benchmark results. Jevrouter currently uses OpenRouter as its managed upstream.