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Comparison of Intfloat: Multilingual-E5-Large, all-MiniLM-L12-v2
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×sentence-transformersall-MiniLM-L12-v2Remove ×
What’s differentThe multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized…We present a sentence transformation model that generates semantically similar sentences. Our model is based on the Sentence-Transformers architecture and was trained on a large dataset of sentence pairs.…
DateJun 4, 2024ListedFeb 28, 2023Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window512512
Max output460460
Parameters——
Open weightsSupportedSupported

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