Introduction
Google DeepMind released Gemma 4 on April 2, 2026, under the Apache 2.0 license—the most permissive open-source license in AI history. This release includes four model variants, from smartphone-ready 2B parameters to a 31B dense model ranking third globally on Arena AI.
Gemma 4 Family Overview
| Model | Type | Target | Context |
|---|---|---|---|
| Gemma 4 E2B | Dense | Smartphones | Edge devices |
| Gemma 4 E4B | Dense | Consumer GPU | Personal use |
| Gemma 4 26B | MoE | Mid-range GPU | Teams |
| Gemma 4 31B | Dense | Workstation | Enterprise |
Key Features
Native Multimodal
All models support text, images, and video natively with unified architecture across sizes.
Edge-Ready Models
The E2B and E4B variants run on mobile devices and laptops:
- Text input for language tasks
- Image input for visual understanding
- Audio input for voice processing
Massive Context Windows
Larger models support 256K tokens for full document processing.
Benchmark Performance
The 31B model achieves:
- Arena AI: 1452 Elo (3rd among open models)
- AIME 2026: 89.2%
- LiveCodeBench v6: 80.0%
Apache 2.0 License
The Apache 2.0 license provides maximum freedom:
- Commercial use without restrictions
- Full source access and modification
- Free distribution rights
- Patent coverage included
- No attribution required
Pricing
Gemma 4 is completely free to use. Deploy on:
- Hugging Face (free inference)
- Ollama (local deployment)
- Google Cloud (pay for compute)
- vLLM (production serving)
Pros
- Apache 2.0: Most permissive open license
- Strong benchmarks competitive with larger models
- Edge deployment on phones and laptops
- Native multimodal support
- Day-one support across all major platforms
Cons
- Closed weights vs fully open models
- Best integration with Google ecosystem
- Real-world performance varies from benchmarks
Who Should Use It
Gemma 4 is ideal for:
- Mobile developers (E2B runs on iPhones)
- Privacy-conscious users (self-host without cloud)
- Enterprises (commercial use without fees)
- Researchers (full model access)
Conclusion
Gemma 4 represents Google’s strongest open-source offering. The Apache 2.0 license removes traditional AI restrictions, while benchmark performance competes with models twice the size.
Rating: 4.6/5