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Comparison of Intfloat: Multilingual-E5-Large, Krea: K3 Edit
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×kreaKrea: K3 EditRemove ×
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…Edits one to eight reference images from a text prompt, returning one image.
DateJun 4, 2024ListedOct 15, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →0 endpoints →
Context window51265.5K
Max output46059K
Parameters——
Image inputNot reportedSupported
Open weightsSupportedNot reported

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