text model · Mistral · Android
Can I run Ministral 3 3B on Samsung Galaxy S26 Ultra (16GB, 1TB config)?
Yes. Ministral 3 3B runs on Samsung Galaxy S26 Ultra (16GB, 1TB config) at Q4_K_M (~3.2 GB of ~12 GB usable).
Runs at Q4_K_M using ~3.2 GB of ~12 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. Samsung Galaxy S26 Ultra (16GB, 1TB config) leaves ~8.8 GB of headroom, room to step up to FP16 for higher quality.
- Q4_K_M needed
- ~3.2 GB
- Usable on device
- ~12 GB
- Device memory
- 16 GB
- Best quant
- Q4_K_M
Which quant fits
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.).
- Parameters
- 3B
- Q4_K_M size
- 2 GB
- Q8_0 size
- 3.4 GB
- Context
- 256k
- Ollama tag
- ministral-3:3b
- Memory
- 16 GB ram
- Usable for weights
- ~12 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
You could also run
Run Ministral 3 3B on other hardware
FAQ
Can Samsung Galaxy S26 Ultra (16GB, 1TB config) run Ministral 3 3B?
Yes. Ministral 3 3B runs on Samsung Galaxy S26 Ultra (16GB, 1TB config) at Q4_K_M (~3.2 GB of ~12 GB usable).
How much memory does Ministral 3 3B need?
Samsung Galaxy S26 Ultra (16GB, 1TB config) has room to spare. At Q4_K_M the weights are ~2 GB; with KV cache and runtime overhead, budget ~3.2 GB at a 4k context.
What is the best tool to run Ministral 3 3B 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
[](https://localmodel.run/can-i-run/ministral-3-3b/samsung-s26-ultra) Sources
- github.com/a-ghorbani
- github.com/google-ai-edge
- github.com/mlc-ai
- github.com/shubham0204
- github.com/Vali-98
- gsmarena.com
- huggingface.co/mistralai/Ministral-3-3B-Instruct-2512
- huggingface.co/mistralai/Ministral-3-3B-Instruct-2512-GGUF
- layla-network.ai
- notebookcheck.net
- ollama.com
- qualcomm.com
- sammobile.com
- sammyfans.com
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.