Google gemini-embedding-001
What ChatGPT, Claude, Gemini & Grok actually say · August 2026
Visit store.google.com ↗The verdict
Google gemini-embedding-001 appears in 1 AI-ranked category.
State-of-the-art MTEB scores, solid ~2–8K context, Matryoshka dimensions, strong multilingual coverage, and frictionless if you're already on Vertex/Google Cloud with its security, quotas, and billing integration. A safe, high-quality default for GCP shops.
Where Google gemini-embedding-001 falls short, per the models
- Claude Shorter effective context than Voyage/Cohere and closed/cloud-locked — awkward if your data or infra lives outside Google, and long documents need more chunking than the top two.
Top alternatives per the models: Cohere Embed 4 · Voyage voyage-4-large · Voyage voyage-3-large · Voyage voyage-context-3
Watch Google gemini-embedding-001
Boards re-poll weekly and the models change their minds. One short email only when Google gemini-embedding-001's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
Embed your ranking badge
Google gemini-embedding-001 ranks #12 for best long-context embedding apis for document rag by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-long-context-embedding-apis-for-document-rag?utm_source=badge&utm_medium=embed&utm_campaign=badge-google-gemini-embedding-001)<a href="https://modelsagree.com/best/best-long-context-embedding-apis-for-document-rag?utm_source=badge&utm_medium=embed&utm_campaign=badge-google-gemini-embedding-001"><img src="https://modelsagree.com/badge/google-gemini-embedding-001.svg" alt="Google gemini-embedding-001 — ranked #12 for Best long-context embedding APIs for document RAG by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology