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This page may contain stale information. Last updated: 2026-04-22
Definition
Gemma 4 is Google DeepMind’s latest family of open-source large language models released under the Apache 2.0 license, designed specifically for advanced reasoning and agentic AI workflows with multimodal capabilities (text, image, video, audio).
Key Characteristics
- License: Apache 2.0 (fully permissive, commercial-friendly)
- Model Variants: 4 sizes (E2B, E4B, 26B MoE, 31B Dense)
- Multimodal: Native support for text, image, video, audio
- Context Windows: 128K (edge) to 256K (dense) tokens
- Languages: 140+ languages supported
- Performance: 31B variant #3 on Arena AI leaderboard, 26B variant #6
- Target: On-device AI, edge deployment, agentic workflows
Model Variants
| Model | Size | Type | Context | Specialization |
|---|---|---|---|---|
| E2B | 2B (effective) | Dense | 128K | Edge devices, smartphones |
| E4B | 4B (effective) | Dense | 128K | Edge devices, IoT |
| 26B MoE | 26B (mixture) | Mixture of Experts | 256K | Balanced performance |
| 31B Dense | 31B | Dense | 256K | Flagship, highest performance |
Performance Highlights
Arena AI Leaderboard
- 31B variant: #3 ranked open-source model (world’s leading)
- 26B variant: #6 ranked open-source model
- Competitive with proprietary frontier models in reasoning tasks
Agentic Capabilities
- Advanced reasoning for multi-step tasks
- Tool use and function calling
- Planning and decomposition
- Collaborative workflows
Multimodal Support
- Visual: Image understanding, OCR, chart comprehension, variable resolution
- Video: Long-form video understanding, video question answering
- Audio: Speech recognition, audio understanding (E2B, E4B)
- Text: All variants, 140+ languages
Deployment Options
- Local: Offline on-device deployment
- Edge: Smartphones, tablets, IoT devices
- Computing: Raspberry Pi to high-end GPU clusters
- Cloud: Google Cloud integration, HuggingFace ecosystem
- Ecosystem: Full HuggingFace support for fine-tuning, RAG
Strategic Position
Part of google’s dual-track LLM strategy:
- Proprietary (Gemini): Closed-source, frontier performance
- Open-source (Gemma 4): Developer-friendly, local deployment, commercial freedom
Differentiates from openai (closed-source) and mistral (similar positioning but smaller models).
Community Adoption
- Prior versions: 400M+ downloads (Gemma 1-3)
- Community variants: 100K+ on HuggingFace
- Research integration: Academia, startups, enterprises
- Extended support: Fine-tuning, RAG, custom applications
Release Timeline
- Private release: March 31, 2026
- Public release: April 2, 2026
- Adoption: Rapid community integration
Technical Innovation
Agentic Focus
Explicitly designed for:
- Complex reasoning
- Tool use integration
- Sequential decision-making
- Autonomous task execution
Size Efficiency
- E2B/E4B: Run on edge devices with full multimodal capabilities
- 26B MoE: Efficient inference through sparse activation
- 31B Dense: High performance while maintaining reasonable inference cost
Related
- google — Parent organization
- open-source-llm — Category and competitive landscape
- agentic-ai — Primary use case design
- on-device-ai — Deployment target
- multimodal-ai — Multimodal capabilities
- mixture-of-experts — Architecture of 26B variant
- quantization — Optimization for edge deployment
Sources
- 2026-04-02-google-gemma-4-official-blog — Official Google announcement
- 2026-04-21-google-gemma-4-models — Pipeline evaluation analysis