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Comparison of codestral-embed, Intfloat: Multilingual-E5-Large
2 modelsUnknowncodestral-embedRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×
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…
DateOct 16, 2026DiscoveredJun 4, 2024Listed
Listed rate$0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window8.2K512
Max output—460
Parameters——
Open weightsNot reportedSupported

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