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Google Gemma 4

Google Gemma 4

Google's most intelligent open models to date

Website blog.google
Overview

What it is

Gemma 4 is Google DeepMind’s most capable open model family, delivering advanced reasoning, multimodal processing, and agentic workflows. Optimized for everything from mobile devices to GPUs, it enables developers to build powerful AI apps efficiently with high performance and low compute overhead.

Intent

I need it when

Fine-tune and customize models for specific domain tasks with full control over infrastructure

Released under Apache 2.0 license with model weights available on Hugging Face, Kaggle, and Ollama, Gemma 4 grants complete developer flexibility to fine-tune, deploy on-premises, and maintain digital sovereignty over data and models.

Build AI applications that run locally on personal hardware without cloud dependency

Gemma 4 offers four model sizes (E2B, E4B, 26B MoE, 31B Dense) optimized for diverse hardware from Android phones to consumer GPUs to workstations. Developers can deploy frontier-class reasoning offline, preserving data privacy and eliminating latency.

Develop autonomous agents and agentic workflows with function-calling and structured outputs

Gemma 4 natively supports function-calling, structured JSON output, and system instructions, enabling developers to build reliable autonomous agents that interact with APIs and execute complex workflows without proprietary API dependencies.

Deploy high-performance AI on mobile and IoT devices with minimal compute overhead

E2B and E4B models are engineered for maximum efficiency on edge devices like phones, Raspberry Pi, and NVIDIA Jetson Orin Nano, running completely offline with near-zero latency while supporting multimodal input (vision, audio, text).

Access state-of-the-art reasoning capabilities without expensive proprietary model licensing

Gemma 4's 31B model ranks #3 globally on Arena AI leaderboard and outcompetes models 20x its size, delivering frontier-level intelligence-per-parameter at no cost under an open-source license with support for 140+ languages.

Drop

Not a fit when

  • User requires proprietary model ownership or closed-source deployment restrictions
  • Organization needs commercial support contracts or SLAs from Google (Gemma 4 is community-supported)
  • Use case demands real-time cloud API inference without local infrastructure setup
  • Developer lacks GPU hardware or edge devices to run models locally
  • Project requires models smaller than 2 billion effective parameters for extreme edge deployment
Commercials

Pricing

Free, open-source under Apache 2.0 license