# Can I run Qwen3 235B A22B on Apple M3 Ultra (256GB)?

> **Yes, it runs.** Runs at Q4_K_M using ~136.9 GB of ~192 GB 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).
- Apple M3 Ultra (256GB): 256 GB unified, ~192 GB usable for model weights.
- Headroom: ~55.1 GB.

## How to run
Recommended quant: Q4_K_M. Best tool on macOS: LM Studio.

```sh
ollama run qwen3:235b
```

## Other models that run on Apple M3 Ultra (256GB)
- [gpt-oss 120B (117B)](https://localmodel.run/can-i-run/gpt-oss-120b/apple-m3-ultra-256gb)
- [Llama 4 Scout (109B)](https://localmodel.run/can-i-run/llama-4-scout/apple-m3-ultra-256gb)
- [Sarvam-105B (105B)](https://localmodel.run/can-i-run/sarvam-105b/apple-m3-ultra-256gb)
- [Qwen2.5 72B (72B)](https://localmodel.run/can-i-run/qwen2.5-72b/apple-m3-ultra-256gb)
- [Llama 3.3 70B (70B)](https://localmodel.run/can-i-run/llama-3.3-70b/apple-m3-ultra-256gb)
- [Mixtral 8x7B (46.7B)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m3-ultra-256gb)

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/apple-m3-ultra-256gb