text model · Phi-4 · Android

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

Compatibility verdict VRAM threshold engine

Yes, it runs usable speed ~15 tok/s est.

Yes. Phi-4-mini-reasoning runs on Google Pixel 9 Pro at Q4_K_M (~3.6 GB of ~10.5 GB usable).

Needs ~3.6 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~3.6 GB of ~10.5 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~6.9 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed: ~3.6 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

~2.9 GB

Q3_K_M

~3.2 GB

Q4_K_M

~3.6 GB

Q5_K_M

~4 GB

Q6_K

~4.4 GB

Q8_0

~5.1 GB

FP16

~9 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: 3.8B
Q4_K_M size: 2.32 GB
Q8_0 size: 3.8 GB
Context: 128k
Ollama tag: phi4-mini-reasoning:latest

Full Phi-4-mini-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-mini-reasoning on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 Pro iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM)

FAQ

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

Yes. Phi-4-mini-reasoning runs on Google Pixel 9 Pro at Q4_K_M (~3.6 GB of ~10.5 GB usable).

How much memory does Phi-4-mini-reasoning need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~2.32 GB; with KV cache and runtime overhead, budget ~3.6 GB at a 4k context.

What is the best tool to run Phi-4-mini-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-mini-reasoning on Google Pixel 9 Pro](https://localmodel.run/badge/phi-4-mini-reasoning/pixel-9-pro.svg)](https://localmodel.run/can-i-run/phi-4-mini-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.