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Sentence Transformers: all-MiniLM-L6-v2

sentence-transformers/all-minilm-l6-v2 · text->embeddings · 0k ctx · added 2025-11-17
$0.0041·0.0000 /M effective hit 0% 35.5M/d

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,...

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openrouter/sentence-transformers/all-minilm-l6-v2
Sentence Transformers: all-MiniLM-L6-v2 · text->embeddings · 0k ctx
35.5M/d 0% $0.0041·0.0000 – 11mo
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deepinfra/us
$0.0050·0.0000 $0.0050·0.0000ⁱ $0.0041·0.0000ᵉ 0% – – 100% ✓ – · – · 1d ·
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deepinfra
$0.0050·0.0000 · $0.0050·0.0000ⁱ – · – · – – – · · – · – · ✕1mo ·
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