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Comparison of bge-m3, LiquidAI: LFM2.5-Embedding-350M (free)
2 modelsBAAIbge-m3Remove ×liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove ×
What’s differentBGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in…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…
DateMay 27, 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 window8.2K512
Max output7.4K460
Parameters——
Open weightsSupportedSupported

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