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Comparison of Intfloat: Multilingual-E5-Large, LiquidAI: LFM2.5-Embedding-350M (free)
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove ×
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…LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and…
DateJun 4, 2024ListedAug 18, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.00 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window512512
Max output460460
Parameters——
Open weightsSupportedSupported

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