Today, we are announcing the availability of the Gemma 4 family on Amazon Bedrock. Built by Google DeepMind and released under the Apache 2.0 license, Gemma 4 is a family of open-weight models designed with a focus on intelligence-per-parameter across a broad range of deployment scenarios. The family includes three instruction-tuned variants: Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B. These cover dense and mixture-of-experts (MoE) architectures, where only a fraction of the model’s parameters activate per request. The variants offer built-in reasoning, native function calling, and multimodal input across text and image.
Independent benchmarks reflect Gemma 4’s intelligence-per-parameter focus: Artificial Analysis reports an Intelligence Index of 39 for Gemma 4 31B, well above the median of 15 in the 4B–40B open-weights class.
Organizations adopting open-weight foundation models (FMs) for production face a constant trade-off: access the leading models, but without compromising on data protection, regulatory alignment, or operational control. Amazon Bedrock removes that trade-off. It gives you leading open-weight FMs through a fully managed service, with inference running entirely on infrastructure operated by AWS and the security and privacy controls you expect from Amazon Bedrock.
