# Google
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The following Google models are available in Amazon Bedrock:


| **Model** | **Description** | 
| --- | --- | 
| [Gemma 4 31B](model-card-google-gemma-4-31b.md) | Gemma 4 31B is Google's 30.7-billion parameter dense model with built-in reasoning, native function calling, and multimodal input across text and image, supporting a 256K token context window. | 
| [Gemma 4 26B-A4B](model-card-google-gemma-4-26b-a4b.md) | Gemma 4 26B-A4B is Google's mixture-of-experts model with 25.2 billion total parameters and 3.8 billion active per token, delivering cost-efficient inference with built-in reasoning, native function calling, and multimodal input across text and image, supporting a 256K token context window. | 
| [Gemma 4 E2B](model-card-google-gemma-4-e2b.md) | Gemma 4 E2B is Google's compact model with 5.1 billion total parameters and 2.3 billion effective parameters, designed for low-latency workloads with built-in reasoning, native function calling, and multimodal input across text and image, supporting a 128K token context window. | 
| [Gemma 3 12B IT](model-card-google-gemma-3-12b-it.md) | Gemma 3 12B IT is Google's 12-billion parameter open model with instruction tuning, supporting text and image inputs with a 128K context window. | 
| [Gemma 3 27B PT](model-card-google-gemma-3-27b-pt.md) | Gemma 3 27B PT is Google's 27-billion parameter open model, the largest in the Gemma 3 family, with multimodal capabilities and a 128K context window. | 
| [Gemma 3 4B IT](model-card-google-gemma-3-4b-it.md) | Gemma 3 4B IT is Google's compact 4-billion parameter open model with instruction tuning, designed for on-device and edge deployment. |