text model · Qwen3 · iOS
Can I run Qwen3 235B A22B on iPhone 17?
No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but iPhone 17 only has ~4.5 GB usable.
Needs ~136.9 GB even at Q4_K_M, but only ~4.5 GB is usable.
- Q4_K_M needed
- ~136.9 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
How to run it
On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.). Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.
- Parameters
- 235B (MoE, 22B active)
- Q4_K_M size
- 132.39 GB
- Context
- 128k
- Ollama tag
- qwen3:235b
- Memory
- 8 GB unified
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
What you can run instead
Run Qwen3 235B A22B on other hardware
FAQ
Can iPhone 17 run Qwen3 235B A22B?
No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but iPhone 17 only has ~4.5 GB usable.
How much memory does Qwen3 235B A22B need?
iPhone 17 does not have enough memory. At Q4_K_M the weights are ~132.39 GB; with KV cache and runtime overhead, budget ~136.9 GB at a 4k context. It is a Mixture-of-Experts model (235B total / 22B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Qwen3 235B A22B 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.
Sources
Memory figures are estimates. See methodology.