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Comparison of Intfloat: Multilingual-E5-Large, OpenAI: Text Embedding 3 Small
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×openaiOpenAI: Text Embedding 3 SmallRemove ×
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…text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two…
DateJun 4, 2024ListedOct 30, 2025Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window5128.2K
Max output4607.4K
Parameters——
Open weightsSupportedNot reported

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