Gemma 3 A family of lightweight models with multimodal understanding and unparalleled multilingual capabilities for more intelligent applications Try in Google AI Studio Gemma 3 is the most capable model that can run on a single GPU or TPU. Efficient on workstations, laptops, and even smartphones, allowing developers to build responsible AI applications at scale. Read docs View technical report View model card Watch Capabilities Handle complex tasksGemma 3's 128K-token context window lets your applications process and understand vast amounts of information, enabling more sophisticated AI features. Multilingual communicationUnparalleled multilingual capabilities let you communicate effortlessly across countries and cultures. Develop applications that reach a global audience, with support for over 140 languages. Multimodal understandingEasily build applications that analyze images, text, and video opening up new possibilities for interactive and intelligent applications. Model sizes Gemma 3 is available in four sizes to meet different development and deployment needs. 270MCompact model designed for both task-specific fine-tuning and strong instruction-following. 1BLightweight text model, ideal for small applications. 4BBalanced for performance and flexibility, with multimodal support. 12BStrong language capabilities, designed for complex tasks. 27BEnhanced understanding, great for sophisticated applications. Download open model weights Get access and start building using your preferred frameworks and tools. Download from Hugging Face Download from Ollama Download from Kaggle Performance and benchmarks MMLU-Pro LiveCodeBench Bird-SQL GPQA Diamond SimpleQA FACTS Grounding MATH HiddenMath MMMU MMLU-Pro The MMLU benchmark is a test that measures the breadth of knowledge and problem-solving ability acquired by large language models during pretraining. LiveCodeBench Assesses code generation capabilities on real-world coding problems from platforms like LeetCode and Codeforces. Bird-SQL Tests a model's ability to translate natural language questions into complex SQL queries across various domains. GPQA Diamond Challenges models with difficult questions written by Ph.D. holders in biology, physics, and chemistry. SimpleQA Evaluates a model's ability to answer simple, factual questions with short phrases. FACTS Grounding Evaluates if LLM responses are factually accurate and detailed enough, based on given input documents. MATH MATH evaluates a language model's ability to solve complex mathematical word problems, requiring reasoning, multi-step problem-solving, and the understanding of mathematical concepts. HiddenMath An internal holdout set of competition math problems. MMMU Evaluates multimodal understanding and reasoning across various disciplines requiring college-level knowledge. Gemma Quantization-Aware Training (QAT) Gemma QAT dramatically reduces memory requirements while maintaining high quality. This lets you run powerful models like Gemma 3 27B locally on consumer-grade GPUs like an NVIDIA RTX 3090. Read more Welcome to Gemma 3Discover the latest advancements in Gemma, Google's family of lightweight, state-of-the-art open models. Watch Deepdive into Gemma 3Hear how the Gemma research team unveil the architecture, design principles, and innovations behind Google's family of lightweight, state-of-the-art open models. Watch Building intelligent agents with Gemma 3Explore the development of intelligent agents using Gemma models, with core components that facilitate agent creation, including capabilities for function calling, planning, and reasoning. Watch Gemma 3 architecture and designDiscover how with Gemma 3, we have tried to push many of the limits of what makes a model usable and practical. Watch A truly multilingual Gemma 3Building multilingual AI applications is crucial for reaching global audiences, and varied language proficiency remains a top developer priority. Watch