# Can I run Mixtral 8x7B on Nvidia GeForce RTX 4060 Ti (16GB)?

> **No, not enough memory.** Needs ~28.9 GB even at Q4_K_M, but only ~15 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).
- Nvidia GeForce RTX 4060 Ti (16GB): 16 GB vram, ~15 GB usable for model weights.
- Headroom: ~-13.9 GB.

## How to run
Recommended quant: n/a. Best tool on Windows: 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 Nvidia GeForce RTX 4060 Ti (16GB)
- [gpt-oss 20B (21B)](https://localmodel.run/can-i-run/gpt-oss-20b/nvidia-rtx-4060-ti-16gb)
- [DeepSeek-V2-Lite (16B)](https://localmodel.run/can-i-run/deepseek-v2-lite/nvidia-rtx-4060-ti-16gb)
- [Phi-4 14B (14B)](https://localmodel.run/can-i-run/phi-4-14b/nvidia-rtx-4060-ti-16gb)
- [Qwen2.5 14B (14B)](https://localmodel.run/can-i-run/qwen2.5-14b/nvidia-rtx-4060-ti-16gb)
- [Qwen3 14B (14B)](https://localmodel.run/can-i-run/qwen3-14b/nvidia-rtx-4060-ti-16gb)
- [DeepSeek-R1-Distill-Qwen 14B (14B)](https://localmodel.run/can-i-run/deepseek-r1-distill-qwen-14b/nvidia-rtx-4060-ti-16gb)

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/nvidia-rtx-4060-ti-16gb