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Comparison of Intfloat: Multilingual-E5-Large, Mistral: Codestral Embed 2505
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×mistralaiMistral: Codestral Embed 2505Remove ×
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…Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-of-the-art retrieval.
DateJun 4, 2024ListedOct 30, 2025Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.15 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window5128.2K
Max output4606.6K
Parameters——
Open weightsSupportedNot reported

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