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text model · Mistral · iOS

Can I run Devstral Small on iPhone 16?

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

No. Devstral Small needs ~15.4 GB even at Q4_K_M, but iPhone 16 only has ~4.5 GB usable.

Needs ~15.4 GB Device usable ~4.5 GB

Needs ~15.4 GB even at Q4_K_M, but only ~4.5 GB is usable.

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

The gap is about 10.9 GB: Devstral Small needs roughly 15.4 GB at Q4_K_M and iPhone 16 leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs Devstral Small is the Apple M4 (24GB) at 24 GB. See Devstral Small on Apple M4 (24GB).

Q4_K_M needed
~15.4 GB
Usable on device
~4.5 GB
Device memory
8 GB
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Which quant fits

Quant ladder vs ~4.5 GB usable
Q2_K
~12.1 GB
Q3_K_M
~13.7 GB
Q4_K_M
~15.4 GB
Q5_K_M
~19.1 GB
Q6_K
~21.7 GB
Q8_0
~25.3 GB
FP16
~49.2 GB
The line marks iPhone 16's ~4.5 GB budget; rungs past it are too large.

How to run it

On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.).

Model Mistral
Parameters
24B
Q4_K_M size
13.35 GB
Q8_0 size
23.33 GB
Context
128k
Ollama tag
devstral:24b
Full Devstral Small requirements →
Device iOS
Memory
8 GB unified
Usable for weights
~4.5 GB
Power draw
~11 W
Best runtime
llama.cpp + Metal (via PocketPal or Off Grid app)
Best models for iPhone 16 →

What you can run instead

Run Devstral Small on other hardware

Apple M4 (24GB)Apple M4 Pro (24GB)Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)AMD Radeon RX 7900 XTX (24GB)Nvidia GeForce RTX 5090 (32GB)

FAQ

Can iPhone 16 run Devstral Small?

No. Devstral Small needs ~15.4 GB even at Q4_K_M, but iPhone 16 only has ~4.5 GB usable.

How much memory does Devstral Small need?

iPhone 16 does not have enough memory. At Q4_K_M the weights are ~13.35 GB; with KV cache and runtime overhead, budget ~15.4 GB at a 4k context.

What is the best tool to run Devstral Small on iOS?

On iPhone and iPad, Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.) is the standard choice. Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.

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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.