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Comparison of text-embedding-3-large, Intfloat: Multilingual-E5-Large, Krea: K3 Edit
3 modelsUnknowntext-embedding-3-largeRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×kreaKrea: K3 EditRemove ×
What’s different8.2K contextThe 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.
DateOct 16, 2026DiscoveredJun 4, 2024ListedOct 15, 2026Listed
Listed rate$0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
Context window8.2K51265.5K
Max output—46059K
Parameters———
Image inputNot reportedNot reportedSupported
Open weightsNot reportedSupportedNot reported

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