Gemma 4 is a family of open models, purpose-built for advanced reasoning and agentic workflows.
Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants.
Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.
Today, we’re bringing Gemma 4 to you on Google Cloud, including Vertex AI, Cloud Run, GKE, and Sovereign Cloud.
Today, Google DeepMind launched Gemma 4, a family of state-of-the-art open models that redefine what is possible on your own hardware. Now available under the Apache 2.0 license, Gemma 4 gives developers a powerful toolkit for on-device AI development. With Gemma 4, you can now go beyond chatbots to build agents and autonomous AI use cases running directly on-device. Gemma 4 enables multi-step ...
Gemma 4 E4B scores -20 on AA-Omniscience and Gemma 4 E2B scores -24, both substantially better than Gemma 4 31B (-45) and comparable to or better than much larger models like DeepSeek V3.2 (Reasoning, -21).
Overview of the Gemma 4 model family, summarizing architecture types, parameter sizes, effective parameters, supported context lengths, and available modalities to help developers choose the right model for data center, edge, and on‑device deployments.
Gemma is a series of source-available large language models developed by Google DeepMind. It is based on similar technologies as Gemini. The first version was released in February 2024, followed by Gemma 2 in June 2024, Gemma 3 in March 2025, and the free and open-source Gemma 4 in April 2026.