Llama · 400B · MoE
Can you run Llama 4 Maverick locally?
Llama 4 Maverick is a mixture-of-experts model with 400B parameters, 17B active per token. At 4-bit or better it runs on 2 of the 120 hardware configurations listed here; the smallest is the M3 Ultra · 512 GB · 80c (512 GB). It does not fit one 128 GB DGX Spark.
Data as of 2 November 2026
Fastest machines for Llama 4 Maverick
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1M5 Ultra · 512 GB · 80cMac · 512 GB~76 tok/s ModelFit est.Q4_K_M · 252 of 384 GB
- 2M3 Ultra · 512 GB · 80cMac · 512 GB~52 tok/s ModelFit est.Q4_K_M · 252 of 384 GB
Too big for 118 machines
M5 Ultra · 256 GB · 80c, M5 Ultra · 256 GB · 64c, M3 Ultra · 256 GB · 80c, M3 Ultra · 256 GB · 60c, 2x RTX PRO 6000 Blackwell, M2 Ultra · 192 GB · 76c, M2 Ultra · 192 GB · 60c, 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. Llama 4 Maverick needs about 252 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
- 400B
- Active per token
- 17B
- Type
- Mixture of experts
- Good for
- Frontier quality, Long context
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 245 GB | 320 GB | ollama run llama4:maverick |
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 Llama 4 Maverick 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 · 512 GB · 80c.
How much memory does Llama 4 Maverick need?
About 252 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does Llama 4 Maverick run on a DGX Spark?
Not on one 128 GB Spark. It needs about 252 GB.