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Comparison of Nemotron-3-Embed-1B-NVFP4, Intfloat: Multilingual-E5-Large
2 modelsnvidiaNemotron-3-Embed-1B-NVFP4Remove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×
What’s differentNemotron-3-Embed-1B-NVFP4 is the NVFP4-quantized version of Nemotron-3-Embed-1B-BF16 — a multilingual text embedding model from NVIDIA that maps text into 2048-dimensional dense vectors for retrieval and…The 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…
DateJul 16, 2026ListedJun 4, 2024Listed
Listed rateSee provider quotes$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →1 endpoint →
Context window32.8K512
Max output—460
Parameters1B—
Open weightsNot reportedSupported

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