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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/Hardware/Macs/MacBook Pro M4 Max 128GB
Apple

Apple

MacBook Pro M4 Max 128GB

M4LaptopM4UNIFIEDMetal
128GB
Unified Memory
546GB/s
Bandwidth
$4,999 MSRP

About this GPU for AI

MacBook Pro M4 Max 128GB with 128 GB unified memory. Fourth-generation Apple Silicon with enhanced Neural Engine and improved memory bandwidth, designed for AI-first workflows including local LLM inference.

Specifications

Compute
ArchitectureM4
Memory
Unified Memory128 GB
Bandwidth546 GB/s
General
FamilyM4
SegmentLaptop
InterconnectUNIFIED
Compute PlatformMETAL
MSRP$4,999

For AI Workloads

Strengths
  • Enhanced 16-core Neural Engine for ML acceleration
  • Up to 546 GB/s memory bandwidth (Max)
  • Excellent power efficiency for sustained inference
  • Best-in-class MLX performance
  • Thunderbolt 5 for external GPU expansion
Considerations
  • Maximum 128 GB unified memory (less than some workstations)
  • No CUDA support — limited to MLX and llama.cpp Metal

Architecture

M4

Apple M4 is the latest Apple Silicon generation, using TSMC's second-generation 3nm process. It features an enhanced Neural Engine with up to 38 TOPS and higher memory bandwidth across all tiers.

AI Relevance

The M4 Max with 128 GB unified memory and up to 546 GB/s bandwidth is currently the fastest Apple Silicon option for local LLM inference. Combined with MLX framework optimizations, it delivers the best tokens-per-second of any Mac configuration.

Process: TSMC 3nm (2nd gen)Platform: METALPrecisions: FP32, FP16

M4 is Apple's most AI-capable chip yet with up to 546 GB/s bandwidth in the Max variant. The unified memory architecture means models up to ~90 GB (at 72% usable) can run natively without offloading, covering most 70B models at Q4 quantization.

Recommendations by Workload

Agentic Coding

C

Qwen3-Coder-Next

This model is still usable for agentic-coding, but it is not the most specialized pick. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 21.4 tok/s · 46K ctx · llama.cpp
64.5 GB / 128.0 GB Unified Memory

Chat

C

Qwen 3 32B

This model is a direct match for chat. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 17.6 tok/s · 20K ctx · llama.cpp
36.7 GB / 128.0 GB Unified Memory

Coding

C

Qwen3-Coder-Next

This model is a direct match for coding. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 21.4 tok/s · 23K ctx · llama.cpp
64.3 GB / 128.0 GB Unified Memory

RAG

C

Command R 35B

This model is a direct match for rag. It sits in the middle of the current model mix. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 16.1 tok/s · 63K ctx · llama.cpp
47.0 GB / 128.0 GB Unified Memory

Reasoning

C

Qwen3-Coder-Next

This model is a direct match for reasoning. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 21.4 tok/s · 23K ctx · llama.cpp
64.3 GB / 128.0 GB Unified Memory

Full Model Compatibility

AlibabaQwen3-Coder-Next
C53
80B64.3 GB21 tok/s23K ctx
moe
MetaLlama 3.3 70B
C49
70B68.4 GB8 tok/s22K ctx
dense
AlibabaQwen 2.5 72B
C49
72B69.9 GB8 tok/s21K ctx
dense
AlibabaQwen 2.5 VL 72B
C49
72B69.9 GB8 tok/s21K ctx
dense
MistralMistral Small 4 119B
C48
119B88.3 GB14 tok/s17K ctx
moe
AlibabaQwen3-Coder 30B A3B Instruct
C48
30.5B34.1 GB48 tok/s43K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
C48
30B33.8 GB50 tok/s44K ctx
moe
TheBlokeTLlama 2 7B Chat
C46
7B20.1 GB81 tok/s73K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C46
7B20.1 GB81 tok/s73K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C46
7B20.1 GB81 tok/s73K ctx
dense
UnslothQwen3.5 4B
C46
4B18.0 GB141 tok/s82K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C46
3B17.7 GB162 tok/s83K ctx
dense
UnslothQwen3.5 35B A3B
C46
35B41.5 GB16 tok/s35K ctx
dense
Lmstudio-communityLgemma 3 4b it
C46
4B18.0 GB141 tok/s82K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C46
8B20.9 GB71 tok/s71K ctx
dense
BartowskiBgemma 2 2b it
C46
2B17.2 GB220 tok/s86K ctx
dense
XtunerXllava llama 3 8b v1 1
C46
8B20.9 GB71 tok/s71K ctx
dense
QwenQwen2.5 3B Instruct
C46
3B17.4 GB188 tok/s85K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C46
8B20.9 GB71 tok/s71K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
C46
35B41.5 GB16 tok/s35K ctx
dense
Googlegemma 2b
C46
2B16.7 GB282 tok/s88K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C46
8B20.9 GB71 tok/s71K ctx
dense
UnslothQwen3.5 9B
C46
9B21.6 GB63 tok/s68K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C46
9B21.6 GB63 tok/s68K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C46
2B16.7 GB282 tok/s88K ctx
dense
QwenQwen2.5 1.5B Instruct
C46
1.5B16.4 GB344 tok/s90K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C46
1B16.3 GB361 tok/s90K ctx
dense
AlibabaQwen 2.5 Coder 32B
C46
32B39.2 GB18 tok/s38K ctx
dense
Lmstudio-communityLQwen3.5 9B
C46
9B21.6 GB63 tok/s68K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B16.2 GB344 tok/s91K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B15.9 GB361 tok/s93K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B15.8 GB361 tok/s94K ctx
dense
UnslothQwen3.5 27B
C46
27B35.4 GB21 tok/s42K ctx
dense
Unslothgemma 3 27b it
C46
27B35.4 GB21 tok/s42K ctx
dense
MistralDevstral Small 2 24B Instruct
C45
24B33.1 GB24 tok/s45K ctx
dense
MistralDevstral Small 1.1
C45
24B33.1 GB24 tok/s45K ctx
dense
UnslothQwen3.5 122B A10B
C45
122B93.6 GB5 tok/s16K ctx
dense
MistralCodestral 2 25.08
C45
22B31.6 GB26 tok/s47K ctx
dense
MistralMixtral 8x22B
D36
141B106.8 GB7 tok/s14K ctx
moe
CohereCommand A 111B
D35
111B99.8 GB5 tok/s15K ctx
dense
MistralDevstral 2 123B Instruct
D29
123B109.0 GB4 tok/s14K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B429.8 GB2 tok/s4K ctx
moe
Z.aiGLM-5
F0
744B474.8 GB2 tok/s4K ctx
moe
Moonshot AIKimi K2.5
F0
1000B629.7 GB2 tok/s4K ctx
moe
MistralMistral Large 3
F0
675B432.9 GB2 tok/s4K ctx
+1moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B313.0 GB3 tok/s5K ctx
moe
DeepSeekDeepSeek V3 671B
F0
671B429.8 GB2 tok/s4K ctx
moe
AlibabaQwen 3 235B A22B
F0
235B161.5 GB6 tok/s9K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B318.9 GB2 tok/s5K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B261.4 GB4 tok/s6K ctx
moe

Just out of reach

Models you could run with an upgrade

High-quality models that need a bit more memory

DeepSeekDeepSeek R1 671B
671BTier 5Needs ~435.6 GB
MistralDevstral 2 123B Instruct
123BTier 5Needs ~128.2 GB
Runs on Mac Studio M3 Ultra 256GB
Z.aiGLM-5
744BTier 5Needs ~481.1 GB
Moonshot AIKimi K2.5
1000BTier 5Needs ~634.7 GB
MistralMistral Large 3
675BTier 5Needs ~439.3 GB

Upgrade paths

Upgrade from MacBook Pro M4 Max 128GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA GH200 96GBNext step up
4000 GB/s (+3454)
A
Unlocks Qwen3.5 122B A10B, Mixtral 8x22B, Command A 111B+1 more · +830% faster avg

 

AppleMac Studio M3 Ultra 256GBApple upgrade
256 GB Unified (+128)819 GB/s (+273)
B
Unlocks Devstral 2 123B Instruct, Qwen3.5 122B A10B, Mixtral 8x22B+6 more · +58% faster avg

 

AMDAMD Instinct MI325X 256GBBiggest leap
256 GB VRAM (+128)6000 GB/s (+5454)
A
Unlocks Devstral 2 123B Instruct, Qwen3.5 122B A10B, Mixtral 8x22B+10 more · +1124% faster avg

 

AMDAMD Instinct MI350X 288GBBest value
288 GB VRAM (+160)8000 GB/s (+7454)
A
Unlocks Devstral 2 123B Instruct, Qwen3-Coder 480B A35B Instruct, Qwen3.5 122B A10B+11 more · +1527% faster avg

~$8,000 MSRP

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