Gemini Embedding 2: First Natively Multimodal Embedding Model Scores Perfect 1.000 Cross-Lingual on Hard Tier

Milvus Blog·high signal

Google's Gemini Embedding 2 maps text, images, video, audio, and PDFs into a single 3,072-dimensional vector space. In the CCKM benchmark across 10 models, it scored 0.997 overall—highest of any model—and was the only model to achieve a perfect 1.000 on the Hard cross-lingual tier (Chinese idioms requiring genuine semantic understanding). It also completed the full 4K-32K character range with perfect scores on key information retrieval. Leads with 1605 ELO. If your RAG pipeline needs cross-lingual or multimodal, there's no real competitor.