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Gemini Embedding 2
About Gemini Embedding 2
Gemini Embedding 2 is an AI model developed by Google DeepMind, in the embedding category, released in 2026, made available as a proprietary (API-only) model. Google's first natively multimodal embedding model, mapping text, images, video, audio and PDF documents into a single s.
On this page you'll find Gemini Embedding 2's full specifications, including a context window of 8.2K tokens. Review provider pricing and benchmark scores below, or compare Gemini Embedding 2 head-to-head with other embedding models.
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Frequently asked questions
What is Gemini Embedding 2? ▶
Google's first natively multimodal embedding model, mapping text, images, video, audio and PDF documents into a single s It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Gemini Embedding 2? ▶
Gemini Embedding 2 was developed by Google DeepMind and released in 2026.
Is Gemini Embedding 2 open source or proprietary? ▶
Gemini Embedding 2 is a proprietary model. It is accessed through an API rather than by downloading the weights.
What is Gemini Embedding 2's context window? ▶
Gemini Embedding 2 supports a context window of 8.2K tokens.
How much does Gemini Embedding 2 cost? ▶
Pricing for Gemini Embedding 2 depends on the provider. See the providers table on this page for the latest API rates.
How does Gemini Embedding 2 perform on benchmarks? ▶
Benchmark scores for Gemini Embedding 2 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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