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Comparison of OpenAI: Text Embedding 3 Large (batch), LiquidAI: LFM2.5-Embedding-350M (free)
2 modelsopenaiOpenAI: Text Embedding 3 Large (batch)Remove ×liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove ×
What’s differenttext-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between…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…
DateOct 30, 2025ListedAug 18, 2026Listed
Listed rate$0.065 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 weightsNot reportedSupported

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