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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 M3 Max 128GB
Apple

Apple

MacBook Pro M3 Max 128GB

M3LaptopM3UNIFIEDMetal
128GB
Unified Memory
400GB/s
Bandwidth
$2,499 MSRP

About this GPU for AI

MacBook Pro M3 Max 128GB with 128 GB unified memory. Third-generation Apple Silicon built on 3nm process with dynamic caching GPU architecture, significantly improving AI inference efficiency.

Specifications

Compute
ArchitectureM3
Memory
Unified Memory128 GB
Bandwidth400 GB/s
General
FamilyM3
SegmentLaptop
InterconnectUNIFIED
Compute PlatformMETAL
MSRP$2,499

For AI Workloads

Strengths
  • 3nm process enables higher efficiency
  • Dynamic caching GPU improves utilization
  • Up to 400 GB/s memory bandwidth (Max)
  • Hardware-accelerated ray tracing
  • Strong MLX optimization
Considerations
  • Base M3 still limited to 24 GB unified memory
  • Premium pricing for high-memory configurations

Architecture

M3

Apple M3 is built on TSMC's 3nm process, the first consumer chips at this node. It introduces Dynamic Caching for more efficient GPU memory allocation and hardware-accelerated ray tracing.

AI Relevance

Dynamic Caching improves GPU utilization for compute workloads including ML inference. The M3 Ultra with up to 512 GB unified memory can theoretically hold even unquantized 70B models, though memory bandwidth remains the throughput bottleneck.

Process: TSMC 3nmPlatform: METALPrecisions: FP32, FP16

M3's dynamic caching GPU architecture allocates local memory in hardware in real-time, improving GPU utilization for AI workloads. The M3 Max reaches 400 GB/s bandwidth, competitive with mid-range discrete GPUs.

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 14.9 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 12.3 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 14.9 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 11.2 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 14.9 tok/s · 23K ctx · llama.cpp
64.3 GB / 128.0 GB Unified Memory

Full Model Compatibility

AlibabaQwen3-Coder-Next
C51
80B64.3 GB15 tok/s23K ctx
moe
MetaLlama 3.3 70B
C48
70B68.4 GB6 tok/s22K ctx
dense
AlibabaQwen 2.5 72B
C48
72B69.9 GB6 tok/s21K ctx
dense
AlibabaQwen 2.5 VL 72B
C48
72B69.9 GB6 tok/s21K ctx
dense
MistralMistral Small 4 119B
C47
119B88.3 GB10 tok/s17K ctx
moe
AlibabaQwen3-Coder 30B A3B Instruct
C47
30.5B34.1 GB33 tok/s43K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
C47
30B33.8 GB35 tok/s44K ctx
moe
UnslothQwen3.5 4B
C46
4B18.0 GB98 tok/s82K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C46
3B17.7 GB113 tok/s83K ctx
dense
Lmstudio-communityLgemma 3 4b it
C46
4B18.0 GB98 tok/s82K ctx
dense
BartowskiBgemma 2 2b it
C46
2B17.2 GB154 tok/s86K ctx
dense
QwenQwen2.5 3B Instruct
C46
3B17.4 GB131 tok/s85K ctx
dense
Googlegemma 2b
C46
2B16.7 GB197 tok/s88K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C46
2B16.7 GB197 tok/s88K ctx
dense
QwenQwen2.5 1.5B Instruct
C46
1.5B16.4 GB240 tok/s90K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C46
1B16.3 GB252 tok/s90K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B16.2 GB240 tok/s91K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B15.9 GB252 tok/s93K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B15.8 GB252 tok/s94K ctx
dense
TheBlokeTLlama 2 7B Chat
C45
7B20.1 GB56 tok/s73K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C45
7B20.1 GB56 tok/s73K ctx
dense
UnslothQwen3.5 35B A3B
C45
35B41.5 GB11 tok/s35K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C45
7B20.1 GB56 tok/s73K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C45
8B20.9 GB49 tok/s71K ctx
dense
XtunerXllava llama 3 8b v1 1
C45
8B20.9 GB49 tok/s71K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
C45
35B41.5 GB11 tok/s35K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C45
8B20.9 GB49 tok/s71K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C45
8B20.9 GB49 tok/s71K ctx
dense
UnslothQwen3.5 9B
C45
9B21.6 GB44 tok/s68K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C45
9B21.6 GB44 tok/s68K ctx
dense
AlibabaQwen 2.5 Coder 32B
C45
32B39.2 GB12 tok/s38K ctx
dense
Lmstudio-communityLQwen3.5 9B
C45
9B21.6 GB44 tok/s68K ctx
dense
UnslothQwen3.5 27B
C45
27B35.4 GB15 tok/s42K ctx
dense
Unslothgemma 3 27b it
C44
27B35.4 GB15 tok/s42K ctx
dense
UnslothQwen3.5 122B A10B
C44
122B93.6 GB4 tok/s16K ctx
dense
MistralDevstral Small 2 24B Instruct
C44
24B33.1 GB16 tok/s45K ctx
dense
MistralDevstral Small 1.1
C44
24B33.1 GB16 tok/s45K ctx
dense
MistralCodestral 2 25.08
C44
22B31.6 GB18 tok/s47K ctx
dense
MistralMixtral 8x22B
D35
141B106.8 GB5 tok/s14K ctx
moe
CohereCommand A 111B
D34
111B99.8 GB4 tok/s15K ctx
dense
MistralDevstral 2 123B Instruct
D28
123B109.0 GB3 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 GB2 tok/s5K ctx
moe
DeepSeekDeepSeek V3 671B
F0
671B429.8 GB2 tok/s4K ctx
moe
AlibabaQwen 3 235B A22B
F0
235B161.5 GB5 tok/s9K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B318.9 GB2 tok/s5K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B261.4 GB3 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 M3 Max 128GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA GH200 96GBNext step up
4000 GB/s (+3600)
A
Unlocks Qwen3.5 122B A10B, Mixtral 8x22B, Command A 111B+1 more · +1234% faster avg

 

AppleMac Studio M3 Ultra 256GBApple upgrade
256 GB Unified (+128)819 GB/s (+419)
B
Unlocks Devstral 2 123B Instruct, Qwen3.5 122B A10B, Mixtral 8x22B+6 more · +126% faster avg

 

AMDAMD Instinct MI325X 256GBBiggest leap
256 GB VRAM (+128)6000 GB/s (+5600)
A
Unlocks Devstral 2 123B Instruct, Qwen3.5 122B A10B, Mixtral 8x22B+10 more · +1655% faster avg

 

AMDAMD Instinct MI350X 288GBBest value
288 GB VRAM (+160)8000 GB/s (+7600)
A
Unlocks Devstral 2 123B Instruct, Qwen3-Coder 480B A35B Instruct, Qwen3.5 122B A10B+11 more · +2233% faster avg

~$8,000 MSRP

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