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text model · Mistral · Android

Can I run Ministral 3 14B on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine
Yes, it runs slow on this hardware ~4 tok/s est.

Yes. Ministral 3 14B runs on Google Pixel 9 Pro at Q4_K_M (~9.4 GB of ~10.5 GB usable).

Needs ~9.4 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~9.4 GB of ~10.5 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~1.1 GB of headroom.

Q4_K_M needed
~9.4 GB
Usable on device
~10.5 GB
Device memory
16 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~10.5 GB usable
Q2_K
~7.6 GB
Q3_K_M
~8.5 GB
Q4_K_M
~9.4 GB
Q5_K_M
~11.7 GB
Q6_K
~13.2 GB
Q8_0
~15.1 GB
FP16
~28.7 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 Mistral
Parameters
14B
Q4_K_M size
7.67 GB
Q8_0 size
13.37 GB
Context
256k
Ollama tag
ministral-3:14b
Full Ministral 3 14B 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 Ministral 3 14B on other hardware

FAQ

Can Google Pixel 9 Pro run Ministral 3 14B?

Yes. Ministral 3 14B runs on Google Pixel 9 Pro at Q4_K_M (~9.4 GB of ~10.5 GB usable).

How much memory does Ministral 3 14B need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~7.67 GB; with KV cache and runtime overhead, budget ~9.4 GB at a 4k context.

What is the best tool to run Ministral 3 14B 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.

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Ministral 3 14B on Google Pixel 9 Pro compatibility badge A live badge for your model card or README, updated as the data is.
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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.