text model · Qwen3-Coder · Windows
Can I run Qwen3-Coder 30B-A3B on Nvidia GeForce RTX 4060 Ti (16GB)?
No. Qwen3-Coder 30B-A3B needs ~19.4 GB even at Q4_K_M, but Nvidia GeForce RTX 4060 Ti (16GB) only has ~15 GB usable.
Needs ~19.4 GB even at Q4_K_M, but only ~15 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 4.4 GB: Qwen3-Coder 30B-A3B needs roughly 19.4 GB at Q4_K_M and Nvidia GeForce RTX 4060 Ti (16GB) leaves only about 15 GB usable for a model. The lightest tracked hardware that runs Qwen3-Coder 30B-A3B is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See Qwen3-Coder 30B-A3B on Nvidia GeForce RTX 4090 (24GB).
- Q4_K_M needed
- ~19.4 GB
- Usable on device
- ~15 GB
- Device memory
- 16 GB
Which quant fits
- Parameters
- 30.5B (MoE, 3.3B active)
- Q4_K_M size
- 17.28 GB
- Q8_0 size
- 30.25 GB
- Context
- 256k
- Ollama tag
- qwen3-coder:30b
- Memory
- 16 GB vram
- Usable for weights
- ~15 GB
- Power draw
- ~165 W
- Best runtime
- Ollama (CUDA) / llama.cpp CUDA
What you can run instead
Run Qwen3-Coder 30B-A3B on other hardware
FAQ
Can Nvidia GeForce RTX 4060 Ti (16GB) run Qwen3-Coder 30B-A3B?
No. Qwen3-Coder 30B-A3B needs ~19.4 GB even at Q4_K_M, but Nvidia GeForce RTX 4060 Ti (16GB) only has ~15 GB usable.
How much memory does Qwen3-Coder 30B-A3B need?
Nvidia GeForce RTX 4060 Ti (16GB) does not have enough memory. At Q4_K_M the weights are ~17.28 GB; with KV cache and runtime overhead, budget ~19.4 GB at a 4k context. It is a Mixture-of-Experts model (30.5B total / 3.3B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Qwen3-Coder 30B-A3B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Embed this
A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/qwen3-coder-30b-a3b/nvidia-rtx-4060-ti-16gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.