embedding
gemini-embedding-001
Text embedding model from the Gemini Embedding paper, offered through the Gemini API with 3,072-dimension vectors by default.
Levelvariant
Classembedding
Parametersnot in the notes
Contextnot in the notes
Released10 Mar 2025
Opennessproprietary
Runs onnot in the notes
Statusactive
Identity
- Developer
- Family
- Gemini Embedding
- Released
- 10 Mar 2025 sourcesannouncement page
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- proprietary
- Licence
- Proprietary sources
- Access routes
- API
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelgemini-embedding-001Google, embedding
gemini-embedding-001Google, embeddingUse CasesEmbeddings and Retrieval for SEA LanguagesPublic SectorUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Organisations 1
Sources
- arxiv.org/abs/2503.07891 https://arxiv.org/abs/2503.07891
- ai.google.dev/gemini-api/docs/embeddings https://ai.google.dev/gemini-api/docs/embeddings
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemini-Embedding-001", https://aurion.semai.id/models/google-gemini-embedding-001/, records of October 2026.