# Can I run Qwen3 235B A22B on iPhone 16?

> **No, not enough memory.** Needs ~136.9 GB even at Q4_K_M, but only ~4.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Qwen3 235B A22B: 235B (MoE, 22B active); Q4_K_M weighs 132.39 GB on disk.
- At Q4_K_M with a 4k context it needs ~136.9 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- iPhone 16: 8 GB unified, ~4.5 GB usable for model weights.
- Headroom: ~-132.4 GB.

## How to run
Recommended quant: n/a. Best tool on iOS: Apple Foundation Models.

## Run Qwen3 235B A22B on other devices
- [Apple M3 Ultra (256GB)](https://localmodel.run/can-i-run/qwen3-235b-a22b/apple-m3-ultra-256gb)

## Other models that run on iPhone 16
- [Gemma 3 4B (4B)](https://localmodel.run/can-i-run/gemma-3-4b/iphone-16)
- [Qwen3 4B (4B)](https://localmodel.run/can-i-run/qwen3-4b/iphone-16)
- [Phi-3.5-mini 3.8B (3.82B)](https://localmodel.run/can-i-run/phi-3.5-mini/iphone-16)
- [Phi-4-mini 3.8B (3.8B)](https://localmodel.run/can-i-run/phi-4-mini-3.8b/iphone-16)
- [Qwen2.5-VL 3B (3.75B)](https://localmodel.run/can-i-run/qwen2.5-vl-3b/iphone-16)
- [Qwen2.5 3B (3.09B)](https://localmodel.run/can-i-run/qwen2.5-3b/iphone-16)

Estimate, not a guarantee. Sources: https://ollama.com/library/qwen3, https://ollama.com/library/qwen3/tags, https://huggingface.co/unsloth/Qwen3-235B-A22B-GGUF, https://huggingface.co/Qwen/Qwen3-235B-A22B.
More: https://localmodel.run/can-i-run/qwen3-235b-a22b/iphone-16