Gemma 4
GoogleLarge Language ModelOpen SourceGoogle's current open-weight model family, released March 2026 under Apache 2.0. Sizes E2B, E4B, 26B, and 31B for on-device and self-hosted deployments; the Gemma family passed 1 billion downloads in August 2026.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- Apache 2.0 license — fully permissive for commercial use, unlike the older Gemma license
- Efficient E2B/E4B variants run on phones and edge devices
- Derived from Gemini research — strong quality for its size class
- Massive ecosystem — the Gemma family passed 1B downloads in August 2026
Cons
- Far below frontier models on complex reasoning and coding
- Largest size is 31B — no large-scale MoE variant like Llama 4 or Qwen
- Gemini API access is free-tier only — production API serving requires self-hosting or Vertex AI
What to Use It For
Perfect For
E2B/E4B variants are designed for phones and edge hardware with no cloud dependency
Apache 2.0 removes the legal friction of the previous Gemma license
Good For
Open weights in practical sizes make custom training affordable
Runs fully offline — no data leaves your infrastructure
Not Recommended
Small open models cannot match frontier reasoning depth
Try instead: Claude Opus 5, Gemini 3.8 Flash
Context is far below the 1M+ windows of hosted frontier models
Try instead: Gemini 3.8 Flash, Llama 4 Scout
Do Not Use For
Text and vision-understanding model only
Try instead: FLUX.1, Stable Diffusion 3.5
