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Comparison of Intfloat: Multilingual-E5-Large, LiquidAI: LFM2.5-24B-A2B
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×liquidLiquidAI: LFM2.5-24B-A2BRemove ×
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…24B total, 2.45B active parameters; always reasons before answering, with GGUF and MLX releases for local deployment.
DateJun 4, 2024ListedOct 13, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.05 in / $0.70 out/ 1M tokensLiquid · via OpenRouter · all routes ↗liquid/fp8 · quantization=fp8
Provider endpoints1 endpoint →2 endpoints →
Context window512128K
Max output4608.2K
Parameters—24B
Tool callingNot reportedSupported
Structured outputNot reportedSupported
ReasoningNot reportedSupported
Prompt cachingNot reportedSupported
Open weightsSupportedSupported

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