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.

Google Gemma 4 — editorial scores across five dimensions (each rated out of 10)
DimensionScoreWhat it measures
Value for money8.5 / 10Cost-effectiveness / ROI
Ease of use7.0 / 10Learning curve, UX clarity
Output quality8.0 / 10Accuracy, polish, hallucination control
Integrations8.0 / 10Ecosystem fit, API depth, extensions
Reliability8.0 / 10Uptime, 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.

Alternatives to Google Gemma 4

If Google Gemma 4 does not fit your use case, these alternative AI tools in the same category may be worth comparing:

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