Models.dev

An open-source database of AI models

Gemini Embedding 001

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

google/gemini-embedding-001
Lab
Google
Family
gemini
Providers
3
Context
2,048
Output limit
1
Knowledge
2025-05
Release
2025-05-20
Updated
2025-05-20
Weights
Closed
Input
Output types
Capabilities
-

Providers

3
Provider Lab Model ID Context Output Price Reasoning Tool Call Structured Temperature
GoogleGooglegemini-embedding-0012,0481$0.15 / $0.00NoNo-No
Vercel AI GatewayGooglegoogle/gemini-embedding-0018,1921,536-NoNo-Yes
VertexGooglegemini-embedding-0012,0481$0.15 / $0.00NoNo-No
No rows match the current search.

No rows match the current search.

Menu

Esc

Search

No matching results.

How to use

Models.dev is a comprehensive open-source database of AI model specifications, pricing, and features.

The homepage starts with provider-agnostic model metadata. Model pages list the providers serving that model; provider pages list every model available from that provider; lab pages group canonical models by author.

API

You can access provider data, provider-agnostic model metadata, or the combined catalog through JSON endpoints.

Logos

Provider logos are available at /logos/{provider}.svg where {provider} is the provider ID. Lab logos are available at /logos/labs/{lab}.svg.

SDK

Use the SDK to query the API from your app. It's type-safe and exports the latest snapshot for offline use.

Contribute

The data is stored in GitHub as TOML files organized by provider and canonical model.