Google Releases Gemma 4: Open Models Ranging from 2B to 31B Parameters
Google DeepMind has released Gemma 4, its most intelligent open model family yet, built from Gemini 3 research and technology. The release offers four model sizes optimized for different deployment...
Google DeepMind has released Gemma 4, its most intelligent open model family yet, built from Gemini 3 research and technology. The release offers four model sizes optimized for different deployment scenarios.
Model Lineup
| Model | Size | Target Use Case |
|---|---|---|
| E2B | 2 Billion | Mobile, IoT, edge devices |
| E4B | 4 Billion | Mobile, IoT, edge devices |
| 26B | 26 Billion | PCs, coding assistants, IDEs |
| 31B | 31 Billion | Frontier intelligence on consumer hardware |
Key Capabilities
- Agentic workflows: Native function calling support for autonomous agents
- Multimodal reasoning: Strong audio and visual understanding
- 140 languages: Beyond translation — cultural context awareness
- Fine-tuning support: Compatible with preferred frameworks
Benchmark Performance
Gemma 4 31B achieved an Arena AI score of 1452 (as of April 2, 2026). Notable results include MMMLU at 85.2%, AIME 2026 Mathematics at 89.2%, LiveCodeBench v6 at 80.0%, and GPQA Diamond at 84.3%.
Edge Deployment
The E2B and E4B models can run completely offline with near-zero latency on devices including phones, Raspberry Pi, and Jetson Nano. The 26B and 31B models are optimized for consumer GPUs, enabling frontier intelligence on personal workstations.
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