QwenQwen3.6-35B-A3B on NVIDIA GeForce RTX 4090
Yes — RTX 4090 handles Qwen3.6-35B-A3B well at Q4_K_M — 25 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
35B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.6-35B-A3B on NVIDIA GeForce RTX 4090 at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 25 tok/s | 434ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Qwen 3.6-35B-A3B MoE (~3B active). Q4_K_M on 24GB rtx-4090.
About Qwen3.6-35B-A3B
Qwen3.6-35B-A3B (35B) is a chat, coding, ai coding, reasoning, multi-purpose model. MoE with 35B total parameters and ~3B active per token. Local stacks still load the full expert pool, so VRAM tracks total size. Q4_K_M needs ~22GB at practical context (RTX 4090 / 24GB class sweet spot). Q3_K_M (~16GB) fits 16GB cards at default context with minimal KV headroom; long 262K runs need KV cache quantization. 8GB cards cannot run this model without heavy CPU offload. Apache 2.0.
View all Qwen3.6-35B-A3B hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Estimated from Unsloth GGUF sizes; best quant that fits device VRAM. Reference hardware source: huggingface.co (2026-05-26)
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.