Gemma 4 — Open-Source Multimodal AI Platform
Text · Image · Audio | Google's Most Capable Open Model | Free Online Access
Online · Gemma 4 27B
Generated in 0.8s · 27B MoE
Meet Gemma 4
Gemma 4 31B
Recommended31B Dense · Text + Image + Audio
Heavy-duty servers & complex reasoning. Highest overall quality — ideal for deep analysis and accurate answers. Full parameter activation, zero information loss.
Try this model →
Three Modalities, One Model
📝
TEXT
Text Understanding
Fluent conversation, long-document analysis, and code generation — up to 256K context window with Gemma 4
Chat with Gemma 4 →🖼️
VISION
Image Understanding
Upload any image for instant descriptions, visual Q&A, and multi-image comparison powered by Gemma 4
Upload an image →🎧
AUDIO
Audio Understanding
Native audio input for speech-to-text, meeting summaries, and content extraction with Gemma 4
Upload audio →Try Every Gemma 4 Tool Free — No Signup Required
Powered by Google's Gemini API free tierStart Using Gemma 4 →Gemma 4 vs Qwen 3.5 · Community Benchmarks
Dimension
Gemma 4
Qwen 3.5
Thinking Efficiency
✓ Advantagemore token-efficient
⚠ Averagetends to overthink
Coding
⚠ Average
✓ Advantage
Multimodal
✓ Advantagetext + image + audio
✗ Not supportedtext only
European Languages
✓ Advantage
⚠ Average
Chinese
⚠ Average
✓ Advantage
Long Context
✓ Advantage256K
⚠ Average128K
Tool Ecosystem
⚠ Averagellama.cpp has bugs
✓ Advantage
License
✓ Apache 2.0
✓ Apache 2.0
AI Tools
Run Locally
| Model | VRAM (Q4_K_M) |
|---|---|
| Gemma 4 E2B | ~1.5 GB |
| Gemma 4 E4B | ~2.8 GB |
| Gemma 4 27B MoE | ~15 GB |
| Gemma 4 31B Dense | ~18 GB |
terminal
ollama run gemma4:27b-it-q4_K_M█Frequently Asked Questions
Gemma 4 is distilled from the Gemini 3 architecture and released by Google as an open-source model. While Gemini is a closed-source API product, Gemma 4 can be deployed locally or used for free online right here on Gemma4 Tools.
Yes, completely free. Gemma4 Tools is powered by Google's Gemini API free tier, so you can experience every Gemma 4 feature without signing up or paying anything.
All data is processed through Google's official Gemma 4 API. Gemma4 Tools does not store any files you upload or conversations you have — everything is processed in real time and discarded.
Yes, Gemma 4 supports over 140 languages including Chinese. However, Gemma 4's Chinese capabilities are slightly behind the Qwen series — we recommend testing both models to find the best fit for your use case.
The Gemma 4 27B MoE model is faster at inference (only ~4B parameters active), making it ideal for everyday chat and lightweight tasks. The Gemma 4 31B Dense model delivers higher overall quality, best for complex reasoning and deep analysis.
We recommend Ollama for one-click setup — run `ollama run gemma4:27b-it-q4_K_M` to start Gemma 4 locally. You can also download GGUF-format Gemma 4 models from HuggingFace for manual configuration. See the deployment guide above for VRAM requirements.