Google Gemma 4 Review (2026): Pricing, Features & Honest Verdict
TLDR
Gemma 4 is Google DeepMind’s latest family of open models, built from Gemini 3 research and released April 2026 under Apache 2.0. Gemma 4 is the strongest case yet for Google’s open-model strategy. Best for: engineers and product teams who want a state-of-the-art open model they can run on-device or self-host commercially. Price: Free / Free (open weights). Rating: 8.2/10.
What is Google Gemma 4?
Gemma 4 is Google DeepMind’s latest family of open models, built from Gemini 3 research and released April 2026 under Apache 2.0. The family ships in four sizes: Effective 2B (E2B) and Effective 4B (E4B) tuned for mobile and edge devices, plus a 26B Mixture-of-Experts and a 31B dense model for personal computers and servers.
All variants are multimodal, supporting text and images, with the smaller E2B and E4B models adding native audio and video. Context windows reach 128K on the smaller models and 256K on the medium ones, and Google ranks the 31B and 26B models among the top-10 open models on Arena AI.
What Are Google Gemma 4’s Key Features?
Four model sizes
E2B and E4B for on-device and mobile, 26B Mixture-of-Experts and 31B dense for laptops, workstations, and servers.
Multimodal inputs
All sizes support text and image input. E2B and E4B add native audio and video for real-time edge processing.
Long context
128K context on small models, 256K on medium models, with hybrid local and global attention to keep memory manageable.
Configurable thinking modes
Designed as reasoners with selectable thinking depth so you can trade speed for deeper chain-of-thought.
Native function calling
Built-in tool use and agentic workflow support so models can plan, navigate apps, and complete tasks.
Apache 2.0 license
Permissive licensing for unrestricted commercial use, distributed via Hugging Face, Ollama, Kaggle, and Google Cloud.
Google Gemma 4 Pricing
| Plan | Price | Includes | Best For |
|---|---|---|---|
| Open Weights | $0 | All four Gemma 4 sizes under Apache 2.0 | anyone running models locally or self-hosting |
| Google Cloud Vertex AI | Pay per use | Managed Gemma 4 endpoints | production teams |
Models are free to download and run under Apache 2.0. Hosted access on Google Cloud Vertex AI is metered, with rates not fully publicly disclosed for every region.
Pros and Cons
Pros
- Apache 2.0 license allows broad commercial use
- Four sizes covering mobile to high-end laptop
- Native audio and video on smaller models is rare
- Top-tier Arena AI rankings for an open model
- Long context with hybrid attention
Cons
- 26B and 31B models still need beefy hardware
- Hosted Vertex AI pricing not fully public
- On-device audio and video performance varies by device
- Smaller community than Llama for tooling
- Closed-weights frontier models still ahead on raw IQ
| Plan | Price | Plan Features | Best For |
|---|---|---|---|
| Open Weights | $0 | All four Gemma 4 sizes under Apache 2.0 | anyone running models locally or self-hosting |
| Google Cloud Vertex AI | Pay per use | Managed Gemma 4 endpoints | production teams |
Who is Google Gemma 4 Best For?
Use Google Gemma 4 if: engineers and product teams who want a state-of-the-art open model they can run on-device or self-host commercially.
Skip Google Gemma 4 if: you need a battle-tested tool with a large community.
Best Google Gemma 4 Alternatives
| Tool | What It Does | Price |
|---|---|---|
| Llama 4 | Meta’s flagship open model family with strong community tooling | Free (open weights) |
| Qwen3 | Alibaba’s open model line with multilingual and long-context options | Free (open weights) |
| Mistral Small 3 | Small efficient open model focused on European deployments | Free (open weights) |
Final Verdict: Is Google Gemma 4 Worth It?
Gemma 4 is the strongest case yet for Google’s open-model strategy. The mix of small native-multimodal models for edge use and 26B/31B variants that punch into the top-10 on open leaderboards covers far more deployment shapes than Llama or Mistral typically address in a single release.
If you ship an app that needs on-device intelligence, or you self-host for cost or privacy reasons, Gemma 4 deserves a serious evaluation. For pure peak quality, you are still picking between Claude Opus, GPT-5, and Gemini 3 Pro.
FAQ
Is Gemma 4 open source?
The weights are released under Apache 2.0, which allows commercial use, redistribution, and fine-tuning without royalty.
What are the model sizes?
Gemma 4 comes in Effective 2B (E2B), Effective 4B (E4B), 26B Mixture-of-Experts, and 31B dense variants.
Does Gemma 4 support images and audio?
All sizes process text and images. The smaller E2B and E4B models also natively support audio and video for edge use.
How long is the context window?
Small models support 128K tokens of context and the medium models extend that to 256K.
Where can I download it?
Gemma 4 is distributed through Hugging Face, Ollama, Kaggle, LM Studio, and Google Cloud Vertex AI.
Can I use Gemma 4 commercially?
Yes. The Apache 2.0 license permits unrestricted commercial use, including building products and services on top of the weights.
Google Gemma 4 Pros & Cons
What We Like
- Apache 2.0 license allows broad commercial use
- Four sizes covering mobile to high-end laptop
- Native audio and video on smaller models is rare
- Top-tier Arena AI rankings for an open model
- Long context with hybrid attention
What Could Be Better
- 26B and 31B models still need beefy hardware
- Hosted Vertex AI pricing not fully public
- On-device audio and video performance varies by device
- Smaller community than Llama for tooling
- Closed-weights frontier models still ahead on raw IQ
Google Gemma 4 FAQ
Is Gemma 4 open source?
The weights are released under Apache 2.0, which allows commercial use, redistribution, and fine-tuning without royalty.
What are the model sizes?
Gemma 4 comes in Effective 2B (E2B), Effective 4B (E4B), 26B Mixture-of-Experts, and 31B dense variants.
Does Gemma 4 support images and audio?
All sizes process text and images. The smaller E2B and E4B models also natively support audio and video for edge use.
How long is the context window?
Small models support 128K tokens of context and the medium models extend that to 256K.
Where can I download it?
Gemma 4 is distributed through Hugging Face, Ollama, Kaggle, LM Studio, and Google Cloud Vertex AI.
Can I use Gemma 4 commercially?
Yes. The Apache 2.0 license permits unrestricted commercial use, including building products and services on top of the weights.
