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Comparison of Intfloat: Multilingual-E5-Large, Extract Object, Krea 3 Edit
3 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×briaExtract ObjectRemove ×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…Bria Extract Object uses text prompts to isolate a selected object from an image and return it as an RGBA PNG with a transparent background. Ideal for product, ecommerce, advertising, and creative editing…Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.
DateJun 4, 2024ListedJun 28, 2026ListedOct 14, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.02/ imagefal · all routes ↗$0.025/ megapixelfal · all routes ↗Output + reference images
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
Context window512——
Max output460——
Parameters———
Open weightsSupportedNot reportedNot reported

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