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Comparison of Intfloat: Multilingual-E5-Large, Intfloat: E5-Large-v2, Ideogram V4.5 Edit
3 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×intfloatIntfloat: E5-Large-v2Remove ×ideogramIdeogram V4.5 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…The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic…Mask-guided edits with a high-precision mode that restores unchanged pixels; combines a source image with extra references.
DateJun 4, 2024ListedNov 22, 2023ListedSep 30, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
Context window512512—
Max output460460—
Parameters———
Open weightsSupportedSupportedNot reported

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