Gemma 4 - Our Most Intelligent Open AI Model
About Gemma 4
Google's most intelligent open AI model, built from Gemini 3 research and technology to maximize intelligence-per-parameter.
Gemma 4 represents a new era of open AI models with groundbreaking efficiency. Built from Gemini 3 research, it delivers frontier-level intelligence with unprecedented compute efficiency. Available in four sizes (2B, 4B, 26B, 31B) to meet diverse deployment needs from edge devices to personal computers.
Model Sizes
E2B & E4B (Edge)
Gemma 4 E2B and E4B variants deliver maximum compute and memory efficiency. A new level of intelligence for mobile and IoT devices. Can run completely offline with near-zero latency on phones, Raspberry Pi, and Jetson Nano.
- • Gemma 4 audio and vision support for real-time edge processing
- • Near-zero latency completely offline
- • Optimized for mobile and IoT devices
26B & 31B (Frontier)
Gemma 4 26B and 31B models deliver unprecedented intelligence-per-parameter. Frontier intelligence for IDEs, coding assistants, and agentic workflows. Optimized for consumer GPUs.
- • Gemma 4 advanced reasoning for IDEs and coding assistants
- • Agentic workflows and function calling
- • Optimized for consumer GPUs (RTX 3090, etc.)
Core Features
Gemma 4 builds autonomous agents that plan, navigate apps, and complete tasks with native function calling support
Gemma 4 delivers strong audio and visual understanding for rich multimodal applications
Gemma 4 creates multilingual experiences that understand cultural context beyond translation
Fine-tune Gemma 4 for specific tasks using preferred frameworks
Run Gemma 4 on your own hardware for efficient development and deployment
Gemma 4 supports up to 128K token context window for handling long documents and complex conversations
Application Scenarios
LiveCodeBench 80%
Ï„2-bench 86.4%
MMMU Pro 76.9%
AIME 2026 89.2%
140+ languages
Gemma 4 excels in advanced reasoning, code generation, competitive programming, mathematical reasoning (AIME 2026: 89.2%), and scientific knowledge (GPQA Diamond: 84.3%). The model shows remarkable improvement in agentic tool use (Ï„2-bench: 86.4%) compared to previous generations.
Performance Benchmarks
General Intelligence
Advanced Reasoning
Code Generation
Benchmark data from Gemma 4 31B IT Thinking model. All metrics as of 4/2/26.
Gemma 4 vs Gemma 3
| Benchmark | Gemma 4 31B | Gemma 3 27B | Improvement |
|---|---|---|---|
| Arena AI (text) | 1452 | 1365 | +87 |
| MMLU | 85.2% | 67.6% | +17.6% |
| AIME 2026 Math | 89.2% | 20.8% | +68.4% |
| LiveCodeBench | 80.0% | 29.1% | +50.9% |
| Ï„2-bench Agentic | 86.4% | 6.6% | +79.8% |
Core Advantages
01Industry-Leading Intelligence
Gemma 4 achieves unprecedented intelligence-per-parameter, delivering frontier-level capabilities in a compact model. The 31B model ranks at the top of AI benchmarks, outperforming models in its class.
02Compute Efficiency
Gemma 4 delivers maximum intelligence with minimum compute. Built from Gemini 3 research to optimize every parameter for best-in-class performance. Significant improvement in intelligence-per-parameter ratio.
03Edge Deployment
Gemma 4 E2B and E4B variants are designed for mobile and IoT devices, enabling near-zero latency AI experiences completely offline. Audio and vision support for real-time edge processing.
04Enterprise Security
Gemma 4 models undergo rigorous security protocols matching our proprietary models. Enterprises and sovereign organizations gain a trusted, transparent foundation meeting highest security standards.
Technical Specifications
Model Architecture
The Gemma 4 architecture is built from Gemini 3 research and technology. It features an optimized Transformer architecture with improvements in attention mechanisms and training stability.
Training Methodology
Gemma 4 is trained on massive datasets with reinforcement learning from human feedback (RLHF). Incorporates safety training and responsible AI principles throughout the development process.
Context Window
Gemma 4 supports up to 128K tokens context window, with extensions up to 256K for select variants. This enables processing of long documents, codebases, and extended conversations.
Safety & Responsibility
Gemma 4 undergoes comprehensive safety evaluation including child safety, content safety, and representational harm. Implements multi-layered safety protection mechanisms for reliable deployment.
Real-World Application Cases
Educational Tutoring
Gemma 4 provides personalized learning support with advanced reasoning capabilities. Excels in explaining complex mathematical and scientific concepts with step-by-step guidance.
Software Development
Gemma 4 is a powerful coding assistant for IDE integration. Achieves 80% on LiveCodeBench competitive coding problems, providing high-quality code suggestions and debugging assistance.
Enterprise Applications
Gemma 4 enables autonomous agents for business process automation. Native function calling support enables seamless integration with enterprise systems and tools.
Research Assistant
Gemma 4 supports researchers with literature review, hypothesis validation, and data analysis. Achieves 84.3% on GPQA Diamond graduate-level scientific questions.
Deployment Options
Hugging Face
Download official model weights
huggingface.co/collections/google/gemma-4
Ollama
Run locally with Ollama
ollama.com/library/gemma4
Vertex AI
Deploy at scale on Google Cloud
cloud.google.com/vertex-ai
Integration Ecosystem
Supported Frameworks
Platforms
Edge & Mobile
Quick Start
Get started with Gemma 4 right away. Try in Google AI Studio or download to run locally.
- Try Gemma 4 31B in Google AI Studio - no setup required
- Download from Hugging Face or Ollama for local deployment
- Run locally on your GPU or deploy to cloud infrastructure
- Fine-tune for your specific use case using LoRA or full fine-tuning