Can I run Qwen3-235B-A22B?

Qwen3-235B-A22B needs about 164.9 GB of memory at Q4_K_M, so it does not fit any single consumer GPU we track. The cheapest Mac or mini PC that holds it is the Mac Studio M5 Ultra 256GB (256 GB, $9499). 2 of the 82 devices we track run it fully at Q4. These are estimates, not measured benchmarks.

235.1B parameters, by Qwen. License: apache-2.0. Model card (params from HF API, retrieved 2026-10-28) · How much VRAM for 200B–300B models · Best GPU for Qwen3 · Ollama VRAM (qwen3:235b) · Q4 vs Q8 vs FP16 · MoE: 22.0B active per token

Q4_K_M needs

164.9 GB 142.5 GB weights

Q8_0 needs

288.3 GB 249.8 GB weights

FP16 needs

541.7 GB 470.2 GB weights

2 of 82 tracked GPUs and Macs run it fully at Q4.

Memory by context length

Longer chats and documents need more memory for the KV cache. All 94 layers keep a full cache. Sizes assume an FP16 KV cache; a Q8 cache roughly halves the cache part.

From the model's config.json (94 full-attention layers × 4 KV heads × 128 head size, retrieved 2026-10-28). Check the model card for its maximum supported context. Try other sizes in the VRAM calculator or compare models in our context length guide.

Can I run Qwen3-235B on a specific GPU or Mac?

Direct yes-or-no checks for popular hardware, with the quant that fits and an estimated tokens/sec range.

• Can I run Qwen3-235B on a Mac Studio 256GB?Q4Fits
• Can I run Qwen3-235B on a Mac Studio 512GB?Q8Fits
• Can I run Qwen3-235B on dual RTX 3090s?Q4Won’t fit
• Can I run Qwen3-235B on an RTX 5090?Q4Won’t fit
• Can I run Qwen3-235B on an RTX 4090?Q4Won’t fit
• Can I run Qwen3-235B on a Mac mini 64GB?Q4Won’t fit

Which hardware runs it

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