# Can I run Gemma 3 12B on Google Pixel 9 Pro?

> **Yes, it runs.** Runs at Q4_K_M using ~8.9 GB of ~10.5 GB usable.

Last validated: 2026-06-15.

## Memory math
- Gemma 3 12B: 12B; Q4_K_M weighs 7.3 GB on disk.
- At Q4_K_M with a 4k context it needs ~8.9 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Google Pixel 9 Pro: 16 GB ram, ~10.5 GB usable for model weights.
- Headroom: ~1.6 GB.

## How to run
Recommended quant: Q4_K_M. Best tool on Android: PocketPal AI.

## Run Gemma 3 12B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-4070-12gb)
- [Apple M2 (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m2-16gb)
- [Apple M4 (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/apple-m4-16gb)
- [Nvidia GeForce RTX 4060 Ti (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-4060-ti-16gb)
- [Nvidia GeForce RTX 4080 (16GB)](https://localmodel.run/can-i-run/gemma-3-12b/nvidia-rtx-4080-16gb)

## Other models that run on Google Pixel 9 Pro
- [Qwen2.5 Coder 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/pixel-9-pro)
- [Mistral Nemo 12B (12.2B)](https://localmodel.run/can-i-run/mistral-nemo-12b/pixel-9-pro)
- [Llama 3.2 Vision 11B (10.7B)](https://localmodel.run/can-i-run/llama-3.2-vision-11b/pixel-9-pro)
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/pixel-9-pro)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/pixel-9-pro)
- [GLM-4 9B (9B)](https://localmodel.run/can-i-run/glm-4-9b/pixel-9-pro)

Estimate, not a guarantee. Sources: https://ollama.com/library/gemma3, https://ollama.com/library/gemma3/tags, https://huggingface.co/bartowski/google_gemma-3-12b-it-GGUF, https://lmarena.ai/leaderboard.
More: https://localmodel.run/can-i-run/gemma-3-12b/pixel-9-pro