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text model · DeepSeek-V4 · Android

Can I run DeepSeek-V4-Flash on Samsung Galaxy S26 Ultra (16GB, 1TB config)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. DeepSeek-V4-Flash needs ~179.7 GB even at Q4_K_M, but Samsung Galaxy S26 Ultra (16GB, 1TB config) only has ~12 GB usable.

Needs ~179.7 GB Device usable ~12 GB

Needs ~179.7 GB even at Q4_K_M, but only ~12 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 167.7 GB: DeepSeek-V4-Flash needs roughly 179.7 GB at Q4_K_M and Samsung Galaxy S26 Ultra (16GB, 1TB config) leaves only about 12 GB usable for a model. The lightest tracked hardware that runs DeepSeek-V4-Flash is the Apple M3 Ultra (256GB) at 256 GB. See DeepSeek-V4-Flash on Apple M3 Ultra (256GB).

Q4_K_M needed
~179.7 GB
Usable on device
~12 GB
Device memory
16 GB
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Which quant fits

Quant ladder vs ~12 GB usable
Q2_K
~123.7 GB
Q3_K_M
~143.6 GB
Q4_K_M
~179.7 GB
Q5_K_M
~207.2 GB
Q6_K
~237.7 GB
Q8_0
~307.1 GB
FP16
~572.8 GB
The line marks Samsung Galaxy S26 Ultra (16GB, 1TB config)'s ~12 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 DeepSeek-V4
Parameters
284B (MoE, 13B active)
Q4_K_M size
174.87 GB
Q8_0 size
302.27 GB
Context
1000k
Full DeepSeek-V4-Flash requirements →
Device Android
Memory
16 GB ram
Usable for weights
~12 GB
Best runtime
llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
Best models for Samsung Galaxy S26 Ultra (16GB, 1TB config) →

What you can run instead

Run DeepSeek-V4-Flash on other hardware

FAQ

Can Samsung Galaxy S26 Ultra (16GB, 1TB config) run DeepSeek-V4-Flash?

No. DeepSeek-V4-Flash needs ~179.7 GB even at Q4_K_M, but Samsung Galaxy S26 Ultra (16GB, 1TB config) only has ~12 GB usable.

How much memory does DeepSeek-V4-Flash need?

Samsung Galaxy S26 Ultra (16GB, 1TB config) does not have enough memory. At Q4_K_M the weights are ~174.87 GB; with KV cache and runtime overhead, budget ~179.7 GB at a 4k context. It is a Mixture-of-Experts model (284B total / 13B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run DeepSeek-V4-Flash 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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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.