gemini-embedding-001 vs Gemini Embedding 2
Data-driven comparison powered by the gentic.news knowledge graph
gemini-embedding-001:· quiet
Gemini Embedding 2:↑ rising
competes with (4 sources)
gemini-embedding-001
ai model
METRIC
Gemini Embedding 2
ai model
0
Total Mentions
3
0
Last 30 Days
3
0
Last 7 Days
3
· quiet
Momentum
↑ rising
Neutral (0.00)
Sentiment (30d)
Positive (+0.67)
Mar 12, 2026
First Covered
Mar 10, 2026
Gemini Embedding 2 leads by 3.0x
Ecosystem
gemini-embedding-001
No mapped relationships
Gemini Embedding 2
usesRetrieval-Augmented Generation6 sources
competes withgemini-embedding-0014 sources
usesmultimodal embedding1 sources
usesGemini API1 sources
gemini-embedding-001
Google developed gemini-embedding-001, its first production-ready text embedding model for semantic search and multilingual applications, now available via the Gemini API.
Gemini Embedding 2
Google's Gemini Embedding 2 is its first natively multimodal embedding model, mapping text, images, video, audio, and documents into a single unified vector space.
Recent Events
gemini-embedding-001
No timeline events
Gemini Embedding 2
2026-03-12
First natively multimodal embedding model that unifies text, images, video, audio, and documents in single vector space
2026-03-12
First model to map text, images, video, audio, and documents into unified vector space