Gemma 4 — Open-Source Multimodal AI Platform

Text · Image · Audio | Google's Most Capable Open Model | Free Online Access

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Online · Gemma 4 27B

Generated in 0.8s · 27B MoE

Meet Gemma 4

Gemma 4 E2B

2B params · Text + Image

Mobile & embedded devices

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Gemma 4 E4B

4B params · Text + Image

Laptops & lightweight inference

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Gemma 4 27B

27B MoE · Text + Image + Audio

Desktop servers & multimodal tasks

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Gemma 4 31B

Recommended

31B 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.

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Which Gemma 4 Model Can Your Hardware Run?

Select your device and configuration to find the best Gemma 4 model for your Mac, NVIDIA GPU, AMD GPU, or CPU.

Device

Chip + Memory

Gemma 4 E4B

Q8_0Best Match

Speed

~60–80 tok/s

Disk

5.0 GB

RAM Usage

~6 GB

Modality

Text + Image

ollama run gemma4:e4b-it-q8_0

27B Q4 possible for short conversations, but E4B Q8 better at full context.

Hardware Compatibility

Model	Min VRAM / RAM	Best For	Install Command
Gemma 4 E2B	2 GB	Mobile, CPU-only, embedded devices	`ollama run gemma4:e2b`
Gemma 4 E4B	3 GB	8–16 GB devices, most laptops	`ollama run gemma4:e4b`
Gemma 4 27B	15 GB	24 GB+ Mac or GPU, best MoE balance	`ollama run gemma4:27b-it-q4_K_M`
Gemma 4 31B	18 GB	48 GB+ Mac or 32 GB+ GPU, max quality	`ollama run gemma4:31b-it-q4_K_M`

No GPU? Try Gemma 4 online for free →

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

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

Not convinced? Test Gemma 4 yourself →

AI Tools

Available

💬

Multimodal Chat

Chat freely with Gemma 4 — upload images and audio to experience the most capable open-source multimodal AI

Upload an image, Gemma 4 generates a detailed description

Available

💻

Code Assistant

Describe your needs, Gemma 4 writes the code

Available

📄

Document Q&A

Upload PDF or text, ask Gemma 4 to extract key information

Available

🌐

Translation Assistant

Translate across 140+ languages with Gemma 4

Available

🎙️

Audio Summarizer

Upload audio, Gemma 4 generates meeting notes and summaries

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█

HuggingFace Kaggle

No GPU? Try Gemma 4 online for free →

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.