# Can I run Mixtral 8x7B on Apple M1 (8GB)?

> **No, not enough memory.** Needs ~28.9 GB even at Q4_K_M, but only ~5.5 GB is usable.

Last validated: 2026-06-15.

## Memory math
- Mixtral 8x7B: 46.7B (MoE, 12.9B active); Q4_K_M weighs 26.49 GB on disk.
- At Q4_K_M with a 4k context it needs ~28.9 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- Apple M1 (8GB): 8 GB unified, ~5.5 GB usable for model weights.
- Headroom: ~-23.4 GB.

## How to run
Recommended quant: n/a. Best tool on macOS: LM Studio.

```sh
ollama run mixtral:8x7b
```

## Run Mixtral 8x7B on other devices
- [Nvidia GeForce RTX 5090 (32GB)](https://localmodel.run/can-i-run/mixtral-8x7b/nvidia-rtx-5090-32gb)
- [Apple M4 Pro (48GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m4-pro-48gb)
- [Apple M5 Pro (48GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m5-pro-48gb)
- [Apple M4 Max (64GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m4-max-64gb)
- [Apple M4 Max (128GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m4-max-128gb)
- [Apple M5 Max (128GB)](https://localmodel.run/can-i-run/mixtral-8x7b/apple-m5-max-128gb)

## Other models that run on Apple M1 (8GB)
- [Gemma 3 4B (4B)](https://localmodel.run/can-i-run/gemma-3-4b/apple-m1-8gb)
- [Qwen3 4B (4B)](https://localmodel.run/can-i-run/qwen3-4b/apple-m1-8gb)
- [Phi-3.5-mini 3.8B (3.82B)](https://localmodel.run/can-i-run/phi-3.5-mini/apple-m1-8gb)
- [Phi-4-mini 3.8B (3.8B)](https://localmodel.run/can-i-run/phi-4-mini-3.8b/apple-m1-8gb)
- [Qwen2.5-VL 3B (3.75B)](https://localmodel.run/can-i-run/qwen2.5-vl-3b/apple-m1-8gb)
- [Qwen2.5 3B (3.09B)](https://localmodel.run/can-i-run/qwen2.5-3b/apple-m1-8gb)

Estimate, not a guarantee. Sources: https://ollama.com/library/mixtral, https://ollama.com/library/mixtral/tags, https://huggingface.co/MaziyarPanahi/Mixtral-8x7B-Instruct-v0.1-GGUF, https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1.
More: https://localmodel.run/can-i-run/mixtral-8x7b/apple-m1-8gb