Gemini Embedding 001
Gemini Embedding 001 is an AI model published by Google Deep Mind, released on 2025-07-14, for Embedding model, and 2K context length, under the 不开源 license, with a 68.37 score on MTEB.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Gemini Embedding 001 currently shows benchmark results led by MTEB (3 / 5, score 68.37). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Compare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Gemini Embedding 001 is an AI model published by Google Deep Mind, released on 2025-07-14, for Embedding model, and 2K context length, under the 不开源 license, with a 68.37 score on MTEB.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
