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Comparison of Intfloat: Multilingual-E5-Large, gte-base
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×thenlpergte-baseRemove ×
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…The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE…
DateJun 4, 2024ListedNov 22, 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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