Qwen · 80B · MoE

Can you run Qwen3-Next 80B-A3B locally?

Qwen3-Next 80B-A3B is a mixture-of-experts model with 80B parameters, 3B active per token. At 4-bit or better it runs on 27 of the 120 hardware configurations listed here; the smallest is the 2x RTX 5090 (64 GB). On a 128 GB DGX Spark it runs at Q8_0, at roughly 47 tokens per second (our est.).

Data as of 2 November 2026

Fastest machines for Qwen3-Next 80B-A3B

Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side

  1. 1RTX PRO 6000 BlackwellGraphics card · 96 GB~311 tok/s ModelFit est.Q8_0 · 88 of 95 GB
  2. 22x RTX 5090Graphics card · 64 GB~285 tok/s ModelFit est.Q4_K_M · 53 of 62 GB
  3. 32x RTX PRO 6000 BlackwellGraphics card · 192 GB~285 tok/s ModelFit est.Q8_0 · 88 of 190 GB
  4. 4M5 UltraMac · 96 GB · 2 variants~201 tok/s ModelFit est.Q4_K_M · 53 GB
  5. 5M5 UltraMac · 256–512 GB · 3 variants~201 tok/s ModelFit est.Q8_0 · 88 GB
  6. 6M3 UltraMac · 96 GB · 2 variants~143 tok/s ModelFit est.Q4_K_M · 53 GB
  7. 7M3 UltraMac · 256–512 GB · 3 variants~143 tok/s ModelFit est.Q8_0 · 88 GB
  8. 8M5 Max · 128 GB · 40cMac · 128 GB~139 tok/s ModelFit est.Q8_0 · 88 of 96 GB
  9. 9M2 Ultra · 96 GBMac · 96 GB~124 tok/s ModelFit est.Q4_K_M · 53 of 72 GB
  10. 10M2 UltraMac · 128–192 GB · 4 variants~124 tok/s ModelFit est.Q8_0 · 88 GB
  11. 11M4 Max · 128 GB · 40cMac · 128 GB~117 tok/s ModelFit est.Q8_0 · 88 of 96 GB
  12. 12M1 UltraMac · 128 GB · 2 variants~111 tok/s ModelFit est.Q8_0 · 88 GB
  13. 13M3 Max · 128 GB · 40cMac · 128 GB~92 tok/s ModelFit est.Q8_0 · 88 of 96 GB
  14. 14M2 Max · 96 GB · 38cMac · 96 GB~86 tok/s ModelFit est.Q4_K_M · 53 of 72 GB
  15. 15M3 Max · 96 GB · 30cMac · 96 GB~72 tok/s ModelFit est.Q4_K_M · 53 of 72 GB
  16. 16Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~54 tok/s ModelFit est.Q8_0 · 88 of 96 GB
  17. 17DGX Spark (GB10)AI mini PC · 128 GB~47 tok/s our est.Q8_0 · 88 of 122 GB
Too big for 93 machines

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-Next 80B-A3B needs about 53 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

About the model

Parameters
80B
Active per token
3B
Type
Mixture of experts
Good for
Chat, Coding, Long Context

Builds and how to run them

QuantizationLoadMin. RAMCommand
Q4_K_M50 GB72 GBollama run qwen3-next:80b
Q8_085 GB128 GBollama run qwen3-next:80b-a3b-instruct-q8_0

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-Next 80B-A3B 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 M5 Ultra · 96 GB · 80c.

How much memory does Qwen3-Next 80B-A3B need?

About 53 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-Next 80B-A3B run on a DGX Spark?

Yes, at Q8_0. The Spark has 128 GB of unified memory, about 121.6 GB usable.