# Can I run Mixtral 8x7B on Google Pixel 9 Pro?

> **No, not enough memory.** Needs ~28.9 GB even at Q4_K_M, but only ~10.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Mixtral 8x7B: 46.7B (MoE, 12.9B active); Q4_K_M weighs 26.49 GB on disk.
- At Q4_K_M with a 4k context it needs ~28.9 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: ~-18.4 GB.

## How to run
Recommended quant: n/a. Best tool on Android: PocketPal AI.

## Run Mixtral 8x7B on other devices
- [Nvidia GeForce RTX 5090 (32GB)](https://localmodel.run/can-i-run/mixtral-8x7b/nvidia-rtx-5090-32gb)
- [Apple M4 Pro (48GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m4-pro-48gb)
- [Apple M5 Pro (48GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m5-pro-48gb)
- [Apple M4 Max (64GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m4-max-64gb)
- [Apple M4 Max (128GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m4-max-128gb)
- [Apple M5 Max (128GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m5-max-128gb)

## 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)
- [Gemma 3 12B (12B)](https://localmodel.run/can-i-run/gemma-3-12b/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)

Estimate, not a guarantee. Sources: https://ollama.com/library/mixtral, https://ollama.com/library/mixtral/tags, https://huggingface.co/MaziyarPanahi/Mixtral-8x7B-Instruct-v0.1-GGUF, https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1.
More: https://localmodel.run/can-i-run/mixtral-8x7b/pixel-9-pro