QwenQwen3.5-397B (MoE) on NVIDIA GeForce RTX 4060 Ti 16GB
RTX 4060 Ti 16GB cannot run Qwen3.5-397B (MoE). 16 GB VRAM is insufficient at any quantization level.
Model Size
397B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.5-397B (MoE) on NVIDIA GeForce RTX 4060 Ti 16GB at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
Q2_K needs ~140GB but this device has 16GB. Requires offloading; throughput degrades sharply.
About Qwen3.5-397B (MoE)
Qwen3.5-397B (MoE) (397B) is a chat, coding, ai coding, reasoning, multi-purpose model. Frontier-scale MoE with 397B total parameters and roughly 30B active per token. Requires an enormous memory footprint even when quantized, so local runs are limited to GB300-class hardware or aggressive offloading setups.
View all Qwen3.5-397B (MoE) hardware options →About NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
See all models NVIDIA GeForce RTX 4060 Ti 16GB can run →Builds with NVIDIA GeForce RTX 4060 Ti 16GB
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Estimate method: Estimated from frontier MoE reports and bandwidth scaling for ~30B-active models. Reference hardware source: github.com (2026-03-24)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.