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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Mixtral 8x22B/on MacBook Pro M4 Max 36GB

Can it run?

Can MacBook Pro M4 Max 36GB run Mixtral 8x22B?

FWon't run

Too heavy

Using Q4_K_M in llama.cpp

Capabilities:

Fit status

Too heavy

Decode

5.8 tok/s

TTFT

33605 ms

Safe context

4K

Memory

96.9 GB / 25.9 GB

Memory breakdown

Weights86.0 GB
KV Cache6.1 GB
Runtime0.9 GB
Headroom3.9 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy5.8 tok/s48879 ms8K
ChatFToo heavy5.8 tok/s18330 ms4K
CodingFToo heavy5.8 tok/s33605 ms4K
RAGFToo heavy5.8 tok/s61099 ms8K
ReasoningFToo heavy5.8 tok/s39714 ms4K

Quantization options

How Mixtral 8x22B (141B params) fits at each quantization level on MacBook Pro M4 Max 36GB (25.9 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
55.0 GB
LowF0
Q3_K_S
3
69.1 GB
LowF0
NVFP4
4
79.0 GB
MediumF0
Q4_K_M
4
86.0 GB
MediumF0
Q5_K_M
5
101.5 GB
HighF0
Q6_K
6
115.6 GB
HighF0
Q8_0
8
150.9 GB
Very HighF0
F16
16
289.0 GB
MaximumF0

Upgrade options

Hardware that runs Mixtral 8x22B well

AppleMacBook Pro M3 Max 128GBBest value
D5.1 tok/s decode

~$2,499 MSRP

AMDAMD Instinct MI350X 288GBBudget pick
C130.3 tok/s decode

~$8,000 MSRP

NVIDIANVIDIA H200 141GBBiggest leap
B89.9 tok/s decode

~$30,000 MSRP

AppleMac Studio M3 Ultra 256GBApple upgrade
C12.4 tok/s decode

 

See all results for MacBook Pro M4 Max 36GBSee all hardware for Mixtral 8x22B