Google DeepMind
Google DeepMind
Language model · United States ·Jul 2025

Gemini Embedding

Language Proprietary

About Gemini Embedding

Gemini Embedding is an AI model developed by Google DeepMind, in the language category, released in 2025, made available as a proprietary (API-only) model.

On this page you'll find Gemini Embedding's full specifications. Review provider pricing and benchmark scores below, or compare Gemini Embedding head-to-head with other language models.

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Frequently asked questions

What is Gemini Embedding?

Gemini Embedding is an AI model developed by Google DeepMind, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Gemini Embedding?

Gemini Embedding was developed by Google DeepMind and released in 2025.

Is Gemini Embedding open source or proprietary?

Gemini Embedding is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Gemini Embedding cost?

Pricing for Gemini Embedding depends on the provider. See the providers table on this page for the latest API rates.

How does Gemini Embedding perform on benchmarks?

Benchmark scores for Gemini Embedding are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

Vector Search with Gemini Embedding and Open EmbeddingGemma Models | Google DeepMind | Patrick Löber
Vector Embeddings for Semantic Analysis | Introducing Google Gemini Embedding Models

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