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Comparison of multilingual-e5-large-instruct, Intfloat: E5-Large-v2, Ideogram V4.5 Edit
3 modelsintfloatmultilingual-e5-large-instructRemove ×intfloatIntfloat: E5-Large-v2Remove ×ideogramIdeogram V4.5 EditRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…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.
DateApr 17, 2025ListedNov 22, 2023ListedSep 30, 2026Listed
Listed rateSee provider quotes$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints0 endpoints →1 endpoint →0 endpoints →
Context window512512—
Max output—460—
Parameters———
Open weightsNot reportedSupportedNot reported

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