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Comparison of Intfloat: E5-Large-v2, codestral-embed
2 modelsintfloatIntfloat: E5-Large-v2Remove ×Unknowncodestral-embedRemove ×
What’s differentThe 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…8.2K context
DateNov 22, 2023ListedOct 16, 2026Discovered
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate
Provider endpoints1 endpoint →1 endpoint →
Context window5128.2K
Max output460—
Parameters——
Open weightsSupportedNot reported

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