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Comparison of Intfloat: Multilingual-E5-Large, Krea 3 Edit
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×kreaKrea 3 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 and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.
DateJun 4, 2024ListedOct 14, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.025/ megapixelfal · all routes ↗Output + reference images
Provider endpoints1 endpoint →1 endpoint →
Context window512—
Max output460—
Parameters——
Open weightsSupportedNot reported

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