text model · Phi-4 · Android

Can I run Phi-4-reasoning on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine

Yes, but tight slow on this hardware ~4 tok/s est.

Yes. Phi-4-reasoning runs on Google Pixel 9 Pro at Q4_K_M (~10.1 GB of ~10.5 GB usable).

Needs ~10.1 GB Device usable ~10.5 GB

Fits at Q4_K_M (~10.1 GB of ~10.5 GB usable) but with little headroom. Close background apps, and expect slow generation on a phone.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~0.4 GB of headroom.

Q4_K_M needed: ~10.1 GB
Usable on device: ~10.5 GB
Device memory: 16 GB
Best quant: Q4_K_M

Share on X Share on Reddit

Which quant fits

Quant ladder vs ~10.5 GB usable

Q2_K

~7.6 GB

Q3_K_M

~8.5 GB

Q4_K_M

~10.1 GB

Q5_K_M

~11.7 GB

Q6_K

~13.2 GB

Q8_0

~16.2 GB

FP16

~31 GB

The line marks Google Pixel 9 Pro's ~10.5 GB budget; rungs past it are too large.

How to run it

On Android use PocketPal AI (Polished app, download GGUF and run offline.).

Model Phi-4

Parameters: 14B
Q4_K_M size: 8.43 GB
Q8_0 size: 14.51 GB
Context: 32k
Ollama tag: phi4-reasoning:14b

Full Phi-4-reasoning requirements →

Device Android

Memory: 16 GB ram
Usable for weights: ~10.5 GB
Best runtime: llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)

Best models for Google Pixel 9 Pro →

You could also run

Run Phi-4-reasoning on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)

FAQ

Can Google Pixel 9 Pro run Phi-4-reasoning?

Yes. Phi-4-reasoning runs on Google Pixel 9 Pro at Q4_K_M (~10.1 GB of ~10.5 GB usable).

How much memory does Phi-4-reasoning need?

It is a tight fit on Google Pixel 9 Pro. At Q4_K_M the weights are ~8.43 GB; with KV cache and runtime overhead, budget ~10.1 GB at a 4k context.

What is the best tool to run Phi-4-reasoning on Android?

On Android, PocketPal AI (Polished app, download GGUF and run offline.) is the go-to option. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.

Embed this

A live badge for your model card or README, updated as the data is.

Markdown

[![Phi-4-reasoning on Google Pixel 9 Pro](https://localmodel.run/badge/phi-4-reasoning/pixel-9-pro.svg)](https://localmodel.run/can-i-run/phi-4-reasoning/pixel-9-pro)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.