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Can an NVIDIA GeForce RTX 5090 run Qwen3.6-35B-A3B?

Yes. Qwen3.6-35B-A3B needs 27.7GB at UD-Q5_K_XL with llama.cpp and 8K context; the NVIDIA GeForce RTX 5090 has 32GB of VRAM (31.5GB usable) — grade B, with decode speed in the interactive tier.

NVIDIA GeForce RTX 5090 · Qwen3.6-35B-A3B · UD-Q5_K_XL

Fits — grade B

InteractivebetaHybrid attention — KV computed as full-cache upper bound · MoE speed estimate — wide error bars
weights 26.6 GBKV cache 0.67 GBoverhead 0.42 GBpool 31.5 GBneeds 27.7 GB

assumes llama.cpp · batch 1 · 8K context · fp16 KV cache

$1,999 MSRP · as of 2026-07-08

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Every quant, graded

NVIDIA GeForce RTX 5090 × Qwen3.6-35B-A3B, llama.cpp, 8K context.

QuantFile sizeFitSpeed tier
Q8_036.9 GBTight · Cinteractive · offload · beta
UD-Q5_K_XL26.6 GBFits · Binteractive · beta
UD-Q4_K_XL22.4 GBFits · Binteractive · beta
MXFP4_MOE21.7 GBFits · Binteractive · beta

Qwen3.6-35B-A3B on similar hardware

More models on the NVIDIA GeForce RTX 5090

Verdict computed from published specs and measured GGUF file sizes — see how the math works.