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Comparison of embeddinggemma-2, Nemotron-3-Embed-1B-NVFP4
2 modelsgoogleembeddinggemma-2Remove ×nvidiaNemotron-3-Embed-1B-NVFP4Remove ×
What’s differentEmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…Nemotron-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…
DateOct 8, 2026ListedJul 16, 2026Listed
Listed rateSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →
Context window8.2K32.8K
Max output——
Parameters—1B

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