Qwen · 235B · MoE
Can you run Qwen3-235B-A22B locally?
Qwen3-235B-A22B is a mixture-of-experts model with 235B parameters, 22B active per token. At 4-bit or better it runs on 9 of the 120 hardware configurations listed here; the smallest is the 2x RTX PRO 6000 Blackwell (192 GB). It does not fit one 128 GB DGX Spark.
Data as of 2 November 2026
Fastest machines for Qwen3-235B-A22B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 12x RTX PRO 6000 BlackwellGraphics card · 192 GB~81 tok/s our est.Q4_K_M · 134 of 190 GB
- 2M3 UltraMac · 256–512 GB · 3 variants~37 tok/s our est.Q4_K_M · 134 GB
- 3M2 UltraMac · 192 GB · 2 variants~36 tok/s our est.Q4_K_M · 134 GB
- 4M5 UltraMac · 256–512 GB · 3 variantsno estimateQ4_K_M · 134 GB
Too big for 111 machines
DGX Spark (GB10), Ryzen AI Max+ 395 · 128 GB, M2 Ultra · 128 GB · 76c, M2 Ultra · 128 GB · 60c, M1 Ultra · 128 GB · 64c, M1 Ultra · 128 GB · 48c, M5 Max · 128 GB · 40c, M4 Max · 128 GB · 40c, M3 Max · 128 GB · 40c, RTX PRO 6000 Blackwell, M5 Ultra · 96 GB · 80c, M5 Ultra · 96 GB · 64c, M3 Ultra · 96 GB · 80c, M3 Ultra · 96 GB · 60c, M2 Ultra · 96 GB, M3 Max · 96 GB · 30c, M2 Max · 96 GB · 38c, 2x RTX 5090, Ryzen AI Max+ 395 · 64 GB, M2 Ultra · 64 GB · 76c, M2 Ultra · 64 GB · 60c, M1 Ultra · 64 GB · 64c, M1 Ultra · 64 GB · 48c, M5 Max · 64 GB · 40c, M4 Max · 64 GB · 40c, M3 Max · 64 GB · 40c, M2 Max · 64 GB · 38c, M2 Max · 64 GB · 30c, M1 Max · 64 GB · 32c, M1 Max · 64 GB · 24c, M5 Pro · 64 GB · 20c, M5 Pro · 64 GB · 16c, M4 Pro · 64 GB · 20c, M4 Pro · 64 GB · 16c, 2x RTX 4090, 2x RTX 3090 Ti, 2x RTX 3090, 2x RX 7900 XTX, M5 Max · 48 GB · 40c, M4 Max · 48 GB · 40c, M3 Max · 48 GB · 40c, M5 Pro · 48 GB · 20c, M5 Pro · 48 GB · 16c, M4 Pro · 48 GB · 20c, M4 Pro · 48 GB · 16c, RTX 5090, M5 Max · 36 GB · 32c, M4 Max · 36 GB · 32c, M3 Max · 36 GB · 30c, M3 Pro · 36 GB, RTX 4090, RTX 3090 Ti, RTX 3090, RX 7900 XTX, M2 Max · 32 GB · 38c, M2 Max · 32 GB · 30c, M1 Max · 32 GB · 32c, M1 Max · 32 GB · 24c, M2 Pro · 32 GB, M1 Pro · 32 GB, M6 · 32 GB · 12c, M5 · 32 GB · 10c, M5 · 32 GB · 8c, M4 · 32 GB, RX 7900 XT, M5 Pro · 24 GB · 20c, M5 Pro · 24 GB · 16c, M4 Pro · 24 GB · 20c, M4 Pro · 24 GB · 16c, M6 · 24 GB · 12c, M6 · 24 GB · 10c, M5 · 24 GB · 10c, M5 · 24 GB · 8c, M4 · 24 GB, M3 · 24 GB, M2 · 24 GB, RTX 5080, RTX 5070 Ti, RTX 5060 Ti, RTX 4080 SUPER, RTX 4080, RTX 4070 Ti SUPER, RTX 4060 Ti, Tesla T4, Tesla P100, RX 9070 XT, RX 9060 XT, M3 Pro · 18 GB, RTX 5070, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 3060, M2 Pro · 16 GB, M1 Pro · 16 GB, M6 · 16 GB · 12c, M6 · 16 GB · 10c, M5 · 16 GB · 10c, M5 · 16 GB · 8c, M4 · 16 GB, M3 · 16 GB, M2 · 16 GB, M1 · 16 GB, RTX 5060, RTX 4060, RTX 3070, RTX 3060 Ti, RTX 2070, M3 · 8 GB, M2 · 8 GB, M1 · 8 GB. Qwen3-235B-A22B needs about 134 GB at its smallest build.
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
DGX Spark setup notes: GPUwerk guide for Qwen3-235B-A22B.
About the model
- Parameters
- 235B
- Active per token
- 22B
- Type
- Mixture of experts
- Good for
- Frontier-class open MoE
- Model card
- Hugging Face
- Hugging Face count
- 235.09B (agrees)
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 130 GB | 192 GB | ollama run qwen3:235b-a22b-q4_K_M |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run Qwen3-235B-A22B on a Mac?
Yes on a Mac with enough memory: the smallest Apple configuration listed here that runs it at 4-bit or better is the M2 Ultra · 192 GB · 76c.
How much memory does Qwen3-235B-A22B need?
About 134 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does Qwen3-235B-A22B run on a DGX Spark?
Not on one 128 GB Spark. It needs about 134 GB.