Gemma 4 26B-A4B
Gemma 4 26B-A4B is Google's MoE variant of the Gemma 4 family (26B total, 4B active), released alongside the dense Gemma 4 lineup in 2026. The 4B active-parameter footprint gives faster decode than the dense 12B/31B siblings at a similar quality tier.
Overview
Gemma 4 26B-A4B is Google's MoE variant of the Gemma 4 family (26B total, 4B active), released alongside the dense Gemma 4 lineup in 2026. The 4B active-parameter footprint gives faster decode than the dense 12B/31B siblings at a similar quality tier.
Strengths
- MoE design decodes faster than dense Gemma 4 siblings at comparable quality
- Gemma Terms of Use permits commercial deployment
- Fits fully in 24-32GB VRAM at Q4_K_M with context headroom
Weaknesses
- 26B total weight footprint (16GB Q4) exceeds most consumer 16GB cards' comfortable margin
- Less real-world adoption data than the dense 12B Gemma 4 variant
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 16.0 GB | 20 GB |
Get the model
Ollama
One-line install
ollama run gemma4:26b-a4b-it-q4_K_MRead our Ollama review →Hardware that runs this
Cards with enough VRAM for at least one quantization of Gemma 4 26B-A4B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Gemma 4 26B-A4B?
Can I use Gemma 4 26B-A4B commercially?
What's the context length of Gemma 4 26B-A4B?
How do I install Gemma 4 26B-A4B with Ollama?
Source: Vendor official documentation
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Gemma 4 26B-A4B runs on your specific hardware before committing money.