Intfloat: E5-Large-v2
intfloat/e5-large-v2 · text->embeddings · 0k ctx · added 2025-11-18
$0.0033·0.0000 /M effective
hit 0%
7.2M/d
The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic search, reranking, and similarity-scoring tasks.
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openrouter/intfloat/e5-large-v2
7.2M/d
0%
$0.0033·0.0000
–
11mo
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life
429
tok/d
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age