Gemma 4 Models — Hardware Requirements
33 Gemma 4 models from Google and the community, from the smallest that runs in 1.3 GB of VRAM up to 32.7B parameters. Every row links to full quantization tables and GPU compatibility.
All Gemma 4 Models by Size
How Gemma 4 Compares — Benchmark Rating
Gemma 4 26B A4B IT is the highest-rated Gemma 4 model with an overall benchmark rating of 50.2/100 — #34 among 78 open models. The top proprietary model, Claude Fable 5 (high), scores 87.8. Click a model to see its full benchmark breakdown.
Claude Fable 5 (high) · proprietary87.8
Claude Opus 4.7 · proprietary86.4
Claude Fable 5 Max · proprietary82.4
GPT 6 Astra (high) · proprietary82.4
GPT 6 Astra Max · proprietary82.4
Kimi K366.8
GLM 565.9
DeepSeek R1 052863.1
Gemma 4 31B IT41.9
Frequently Asked Questions
- How much VRAM do I need to run a Gemma 4 model?
- The smallest Gemma 4 model, Medgemma 4B IT, runs from 1.3 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which Gemma 4 models can I run on a 16 GB GPU?
- 46 of 55 Gemma 4 models fit in 16 GB of VRAM at some quantization, including Gemma 4 E4B IT, Gemma 4 31B IT, Gemma 4 26B A4B IT.
- What is the most popular Gemma 4 model to run locally?
- Gemma 4 E4B IT is the most downloaded Gemma 4 model in local-friendly quantized formats. It runs from 3.2 GB of VRAM.
- How do Gemma 4 models score on benchmarks?
- Gemma 4 26B A4B IT leads the family with an overall benchmark rating of 50.2/100, ranking #34 among 78 open models, while the top proprietary model, Claude Fable 5 (high), scores 87.8. See the comparison chart above for the full standings.