Overview
Gemma 4 is the latest multimodal model family open-sourced by Google DeepMind on April 2, 2026, offering a range of specifications from the mobile-oriented 2.3B to large-parameter server-side models. It focuses on reasoning capabilities and Agent workflows, representing the latest achievement in Google's open-source model strategy.
Gemma 4 excels in efficiency—medium-sized models can be deployed on a single GPU, earning it the community nickname "Efficiency King." The open-source license permits commercial use.
**🔥 Major 2026 Expansion: DiffusionGemma Released** (2026/6/11)—The first **diffusion model** in the Gemma family, with a total of 26 billion parameters (approximately 3.8 billion activated) in a Mixture of Experts architecture, achieving **4x** faster local generation compared to traditional Gemma 4. This fills the gap in the "efficient generation" scenario within the Gemma family and is a significant step in Google's open-source model strategy. Gemma 4 + DiffusionGemma + CodeGemma 1.1 + RecurrentGemma now form a complete Gemma open-source ecosystem.
Key Features
- Multi-Specification Coverage: From 2.3B mobile to large-parameter server-side, multiple specifications adapt to different scenarios
- Strong Reasoning Capability: Focuses on reasoning and Agent tasks, performing excellently in code and math reasoning benchmarks
- Efficient Deployment: Medium specifications can run on a single GPU, with low deployment costs
- Multimodal Support: Supports multiple input modalities such as text and images
- Open Source for Commercial Use: The open-source license permits commercial use and modification
- Agent Optimization: Specially optimized for Agent workflows and tool calling
Use Cases
- Enterprises and developers needing locally deployed open-source models
- Model foundation for AI Agent applications
- AI deployment on mobile and edge devices
- Academic research and model fine-tuning
- Scenarios pursuing low-cost AI inference
Pros
- Open Source for Commercial Use: Free to use and modify without payment
- Multi-Specification Coverage: Fully adaptable from mobile to server
- Efficient Deployment: Runs on a single card with low cost
- Agent Optimization: Suitable for building AI Agent applications
- Google Brand: Guaranteed model quality and continuous iteration
Pricing
Gemma 4 is completely open-source and free, supporting commercial use. Download via Hugging Face, Kaggle, and Google AI Studio. No API fees required; only self-provided computing power is needed.
Summary
Gemma 4 is a milestone in Google's open-source models—multi-specification, efficient deployment, and Agent optimization. For teams needing local deployment with limited budgets, Gemma 4 is one of the most noteworthy open-source models in 2026.
Version History
- Cactus 发布 Gemma 4 E2B Hybrid：可在设备端为每个回答输出置信度分数，低分时自动路由至更大模型 (2026-07-23): Cactus has launched a hybrid model "Cactus Hybrid" based on Gemma 4, embedding a confidence probe within the model checkpoint to output a structured confidence score between 0 and 1 for each generated answer. When confidence is high, it responds directly on the device; when the score is low, it can automatically route to a larger model. With zero audio training data, this probe achieves 0.79-0.88 AUROC on four audio benchmarks, far surpassing the token entropy baseline (mean 0.549), and is open-sourced under the MIT license.