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Comparison of text-embedding-3-small, Intfloat: Multilingual-E5-Large, Respan: Span-02
3 modelsUnknowntext-embedding-3-smallRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×respanRespan: Span-02Remove ×
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…Set a thinking deadline in milliseconds; returns typed decisions or direct numbers with confidence, and accepts up to four images.
DateOct 16, 2026DiscoveredJun 4, 2024ListedOct 16, 2026Listed
Listed rate$0.02 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
Context window8.2K512131.1K
Max output—460118K
Parameters———
Image inputNot reportedNot reportedSupported
Open weightsNot reportedSupportedNot reported

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