# Can I run DeepSeek R1 on iPhone Air?

> **No, not enough memory.** Needs ~383.7 GB even at Q4_K_M, but only ~8 GB is usable.

Last validated: 2026-06-15.

## Memory math
- DeepSeek R1: 671B (MoE, 37B active); Q4_K_M weighs 376.66 GB on disk.
- At Q4_K_M with a 4k context it needs ~383.7 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- iPhone Air: 12 GB unified, ~8 GB usable for model weights.
- Headroom: ~-375.7 GB.

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

## Other models that run on iPhone Air
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/iphone-air)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/iphone-air)
- [GLM-4 9B (9B)](https://localmodel.run/can-i-run/glm-4-9b/iphone-air)
- [Qwen2.5-VL 7B (8.29B)](https://localmodel.run/can-i-run/qwen2.5-vl-7b/iphone-air)
- [Llama 3.1 8B (8B)](https://localmodel.run/can-i-run/llama-3.1-8b/iphone-air)
- [Qwen3 8B (8B)](https://localmodel.run/can-i-run/qwen3-8b/iphone-air)

Estimate, not a guarantee. Sources: https://ollama.com/library/deepseek-r1, https://ollama.com/library/deepseek-r1/tags, https://huggingface.co/unsloth/DeepSeek-R1-GGUF, https://huggingface.co/deepseek-ai/DeepSeek-R1.
More: https://localmodel.run/can-i-run/deepseek-r1/iphone-air