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Comparison of text-embedding-3-small, Intfloat: Multilingual-E5-Large, LiquidAI: d1-ultra
3 modelsUnknowntext-embedding-3-smallRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×liquidLiquidAI: d1-ultraRemove ×
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…d1-ultra is Liquid AI's largest decision model, served as a System One endpoint. Send a state of text and images along with typed questions, and it returns a choice, a...
DateOct 16, 2026DiscoveredJun 4, 2024ListedOct 15, 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 ↗$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
Context window8.2K51232.8K
Max output—46029.5K
Parameters———
Image inputNot reportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported
Open weightsNot reportedSupportedNot reported

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