What Is Gemma 4?
Gemma 4 is Google DeepMind's latest and most advanced family of open-source AI models, released on April 2, 2026. Built on the same research and technology behind Google's Gemini models, Gemma 4 brings state-of-the-art AI capabilities to everyone through the permissive Apache 2.0 license.
Unlike proprietary AI models that require API access and ongoing costs, Gemma 4 can be downloaded and run entirely on your own hardware — from smartphones to workstations. This makes it ideal for developers, researchers, and organizations that need full control over their AI infrastructure.
Gemma 4 represents a major leap forward from Gemma 3, introducing native multimodal understanding (text, images, video, and audio), a Mixture of Experts architecture, expanded context windows up to 256K tokens, and built-in agentic capabilities for autonomous tool use.
Gemma 4 Model Variants
Gemma 4 offers four purpose-built variants designed for different hardware and use cases:
Gemma 4 E2B (2B Parameters)
Ultra-lightweight dense model for smartphones, edge devices, and IoT applications. Requires only 2GB of VRAM and supports 128K token context. Perfect for on-device inference where latency and power efficiency matter most.
Gemma 4 E4B (4B Parameters)
Balanced dense model offering excellent quality-to-size ratio. Runs smoothly on consumer laptops with 4GB VRAM. Supports 128K context with full multimodal capabilities including text, image, video, and audio understanding.
Gemma 4 26B A4B (Mixture of Experts)
Sparse MoE architecture with 128 expert networks, activating only 4B parameters per inference. Delivers large-model quality at small-model compute cost. Supports 256K context and is ideal for high-throughput production serving.
Gemma 4 31B (Dense Flagship)
The most powerful variant with 31 billion dense parameters and 256K context window. Achieves state-of-the-art benchmark scores rivaling proprietary models. Best choice for research, complex reasoning, and professional applications.
Key Capabilities of Gemma 4 AI
Native Multimodal Understanding
Gemma 4 processes text, images, video, and audio within a single unified model. No separate encoders or pipelines needed — upload a photo, video clip, or audio file and Gemma 4 understands it natively.
Up to 256K Token Context Window
Process entire codebases, book-length documents, or hours of conversation history without losing coherence. The 256K context window on the 26B and 31B models is among the largest in any open-source model.
Built-in Agentic Capabilities
Gemma 4 includes native function calling and structured JSON output, enabling autonomous tool use, multi-step planning, and seamless integration with external APIs and services.
140+ Language Support
Trained on over 140 languages with high-quality performance across major world languages. Achieves 85.2% on the MMMLU multilingual benchmark, demonstrating true global readiness.
Gemma 4 vs Previous Generations
Gemma 4 introduces several breakthrough improvements over Gemma 3:
- Native video and audio modalities (Gemma 3 only supported text and images)
- New MoE variant with 128 experts for efficiency at scale
- Context window expanded from 128K to 256K tokens on larger models
- Built-in function calling and agentic capabilities
- Significantly improved benchmark scores across all categories
- Support for 140+ languages (up from ~30 in Gemma 3)
What Can You Do with Gemma 4?
Build AI-Powered Applications
Create chatbots, content generators, code assistants, and document analyzers. The Apache 2.0 license allows full commercial use without royalties.
Run AI Locally and Privately
Deploy Gemma 4 on your own hardware for complete data privacy. No internet connection required after downloading the model weights.
Fine-Tune for Your Domain
Customize Gemma 4 for specialized tasks like medical analysis, legal review, or customer support using LoRA, QLoRA, or full fine-tuning.
Build Autonomous AI Agents
Leverage built-in function calling to create agents that can browse the web, query databases, send emails, and execute multi-step workflows autonomously.
Frequently Asked Questions about Gemma 4
Is Gemma 4 free to use?
Yes. Gemma 4 is released under the Apache 2.0 license, which allows free commercial and non-commercial use. You can download the model weights at no cost from Hugging Face, Kaggle, Ollama, or ModelScope.
Who made Gemma 4?
Gemma 4 was developed by Google DeepMind, the AI research division of Google. It is built on the same technology and research behind the Gemini model family but released as fully open-source.
What hardware do I need to run Gemma 4?
It depends on the variant: E2B runs on smartphones (2GB RAM), E4B works on laptops (4GB VRAM), 26B MoE needs a GPU with 16GB+ VRAM, and 31B requires 24GB+ VRAM. Quantized versions reduce these requirements significantly.
How does Gemma 4 compare to ChatGPT and Claude?
Gemma 4 31B achieves competitive scores: 89.2% on AIME 2026, 80% on LiveCodeBench v6, and 84.3% on GPQA Diamond. While proprietary models may lead in some areas, Gemma 4 offers the advantages of being fully open-source, locally deployable, and free to use.
Can I use Gemma 4 for commercial products?
Yes. The Apache 2.0 license permits commercial use, modification, and distribution without royalties or special permissions. You can build and sell products powered by Gemma 4.
What is the difference between Gemma 4 and Gemini?
Gemini is Google's proprietary model available through API access. Gemma 4 is the open-source counterpart — built on similar research but released under Apache 2.0 for anyone to download, modify, and deploy locally.
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Get Started with Gemma 4
Ready to try Gemma 4? Explore the model variants, set up local deployment, or chat with Gemma 4 directly in your browser.