Intfloat: E5-Base-v2
intfloat/e5-base-v2 · text->embeddings · 0k ctx · added 2025-11-18
$0.0012·0.0000 /M effective
hit 0%
5.1M/d
The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring,...
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openrouter/intfloat/e5-base-v2
5.1M/d
0%
$0.0012·0.0000
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11mo
sticker
life
429
tok/d
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