Google Gemma 4 — AI Tool Review, Features & Pricing
Google Gemma 4: Google DeepMind's open-weight model family (April 2026) under Apache 2.0 license — four sizes: E2B, E4B, 26B MoE, and the 31B Dense flagship. Scores 89.2% on AIME 2026 and 80.0% on LiveCodeBench, making it the most capable open model today. Native function calling, multimodal input (text, image, video, audio), 256K context. Runs on a single RTX 4090 with Ollama.
About Google Gemma 4
Google DeepMind's open-weight model family (April 2026) under Apache 2.0 license — four sizes: E2B, E4B, 26B MoE, and the 31B Dense flagship. Scores 89.2% on AIME 2026 and 80.0% on LiveCodeBench, making it the most capable open model today. Native function calling, multimodal input (text, image, video, audio), 256K context. Runs on a single RTX 4090 with Ollama.
It belongs to the text category (subcategory: general-writing) within the AI Workflows tool directory.
Google Gemma 4 is completely free to use.
Editorial Review: Google Gemma 4 scores 7.9/10
Our editors scored Google Gemma 4 7.9 out of 10 overall (4.0 out of 5 stars), averaged across 5 independently rated dimensions.
| Dimension | Score | What it measures |
|---|---|---|
| Value for money | 8.5 / 10 | Cost-effectiveness / ROI |
| Ease of use | 7.0 / 10 | Learning curve, UX clarity |
| Output quality | 8.0 / 10 | Accuracy, polish, hallucination control |
| Integrations | 8.0 / 10 | Ecosystem fit, API depth, extensions |
| Reliability | 8.0 / 10 | Uptime, consistency, predictability |
Pros of Google Gemma 4
- Open-weight models you can run locally or self-host freely
- Efficient — strong performance for the parameter size
- Backed by Google research with broad framework support
Cons of Google Gemma 4
- Smaller open models still trail closed frontier models on hard tasks
- Running locally requires real ML/hardware setup
- You own deployment, safety tuning, and maintenance
When to use Google Gemma 4
- On-device and private, self-hosted AI applications
- Fine-tuning a capable base model for a specific domain
- Cost-free inference at scale on your own hardware
The editor's take on Google Gemma 4
Gemma 4 is Google’s latest open-weight model family, and its appeal is the open-model value equation: capable, efficient performance you can download, fine-tune, and run locally with no per-token cost. For private, on-device, or self-hosted use it is among the strongest options in its size class. It still trails closed frontier models on the hardest reasoning, and self-hosting means you own the hardware and tuning — the usual open-weight tradeoff.
Last evaluated June 2026 by the AI Workflows editorial desk.
Pricing & Plans
- Pricing model: Free
- Plan details: Apache 2.0 license — free to self-host, fine-tune, and deploy commercially. Hosted access via Google AI Studio and Vertex AI at standard rates.
Available Models in Google Gemma 4
- Gemma 4 31B Dense
- Gemma 4 26B MoE
- Gemma 4 E4B
- Gemma 4 E2B
Key Capabilities
- text-generation
- reasoning
- code-generation
Tags & Keywords
text, open-source, apache-2, function-calling, multimodal, google, local-run, latest
How to access Google Gemma 4
Visit the official Google Gemma 4 website: https://ai.google.dev/gemma.
Find more AI tools like Google Gemma 4 on our AI Tools Directory, explore complete AI Workflows that combine multiple tools, or read in-depth reviews on our AI Blog.
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