# Can I run Qwen3 14B on iPhone 16?

> **No, not enough memory.** Needs ~10.7 GB even at Q4_K_M, but only ~4.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Qwen3 14B: 14B; Q4_K_M weighs 9 GB on disk.
- At Q4_K_M with a 4k context it needs ~10.7 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: ~-6.2 GB.

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

## Run Qwen3 14B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4070-12gb)
- [Nvidia GeForce RTX 4060 Ti (16GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4060-ti-16gb)
- [Nvidia GeForce RTX 4080 (16GB)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4080-16gb)
- [16GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/can-i-run/qwen3-14b/laptop-16gb)
- [iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/can-i-run/qwen3-14b/ipad-pro-m4-16gb)

## 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/tags, https://huggingface.co/Qwen/Qwen3-14B-GGUF, https://qwenlm.github.io/blog/qwen3/.
More: https://localmodel.run/can-i-run/qwen3-14b/iphone-16