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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 M1 Max 64GB
Apple

Apple

MacBook Pro M1 Max 64GB

M1LaptopM1UNIFIEDMetal
64GB
Unified Memory
400GB/s
Bandwidth
$2,499 MSRP

About this GPU for AI

MacBook Pro M1 Max 64GB with 64 GB unified memory. Apple's first custom silicon for Mac, delivering excellent power efficiency and unified memory architecture for local AI inference.

Specifications

Compute
ArchitectureM1
Memory
Unified Memory64 GB
Bandwidth400 GB/s
General
FamilyM1
SegmentLaptop
InterconnectUNIFIED
Compute PlatformMETAL
MSRP$2,499

For AI Workloads

Strengths
  • Unified memory eliminates CPU-GPU transfer bottleneck
  • Excellent power efficiency for always-on inference
  • Native MLX support with growing ecosystem
Considerations
  • Limited memory bandwidth compared to newer chips
  • Smaller unified memory options limit model size
  • No hardware ray tracing acceleration

Architecture

M1

Apple M1 is the first Apple Silicon chip for Mac, featuring a unified memory architecture where CPU, GPU, and Neural Engine share the same high-bandwidth memory pool. Available in base, Pro, Max, and Ultra variants with 16-128 GB unified memory.

AI Relevance

Unified memory architecture is a game-changer for LLM inference — the entire memory pool is accessible to both CPU and GPU, eliminating the discrete VRAM bottleneck. An M1 Max with 64 GB can run 30B+ models that would be impossible on a 24 GB discrete GPU.

Process: TSMC 5nmPlatform: METALPrecisions: FP32, FP16

First-generation Apple Silicon with 8-core GPU. The unified memory architecture is particularly beneficial for LLM inference as it eliminates the PCIe bottleneck that discrete GPUs face when offloading.

Recommendations by Workload

Agentic Coding

C

Devstral Small 2 24B Instruct

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 15.0 tok/s · 49K ctx · llama.cpp
30.0 GB / 64.0 GB Unified Memory

Chat

C

Qwen 3 30B A3B

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 30.6 tok/s · 14K ctx · llama.cpp
27.2 GB / 64.0 GB Unified Memory

Coding

C

Devstral Small 2 24B Instruct

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 15.0 tok/s · 28K ctx · llama.cpp
26.2 GB / 64.0 GB Unified Memory

RAG

C

Codestral 21B Pruned i1

This model is a direct match for rag. It sits in the middle of the current model mix. It fits natively with comfortable headroom.

Decode 17.2 tok/s · 54K ctx · llama.cpp
27.2 GB / 64.0 GB Unified Memory

Reasoning

C

Devstral Small 2 24B Instruct

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 15.0 tok/s · 28K ctx · llama.cpp
26.2 GB / 64.0 GB Unified Memory

Full Model Compatibility

AlibabaQwen3-Coder 30B A3B Instruct
C51
30.5B27.2 GB31 tok/s27K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
C51
30B26.9 GB32 tok/s27K ctx
moe
AlibabaQwen 2.5 Coder 32B
C50
32B32.3 GB11 tok/s23K ctx
dense
UnslothQwen3.5 35B A3B
C50
35B34.6 GB10 tok/s21K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
C50
35B34.6 GB10 tok/s21K ctx
dense
UnslothQwen3.5 27B
C49
27B28.5 GB13 tok/s26K ctx
dense
Unslothgemma 3 27b it
C49
27B28.5 GB13 tok/s26K ctx
dense
MistralDevstral Small 2 24B Instruct
C49
24B26.2 GB15 tok/s28K ctx
dense
MistralDevstral Small 1.1
C48
24B26.2 GB15 tok/s28K ctx
dense
MistralCodestral 2 25.08
C48
22B24.7 GB16 tok/s30K ctx
dense
UnslothQwen3.5 4B
C47
4B11.1 GB90 tok/s67K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C47
3B10.8 GB104 tok/s68K ctx
dense
Lmstudio-communityLgemma 3 4b it
C47
4B11.1 GB90 tok/s67K ctx
dense
BartowskiBgemma 2 2b it
C47
2B10.3 GB141 tok/s72K ctx
dense
QwenQwen2.5 3B Instruct
C47
3B10.4 GB120 tok/s71K ctx
dense
Googlegemma 2b
C47
2B9.8 GB180 tok/s75K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C47
2B9.8 GB180 tok/s75K ctx
dense
QwenQwen2.5 1.5B Instruct
C47
1.5B9.5 GB220 tok/s77K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C47
1B9.4 GB231 tok/s78K ctx
dense
TheBlokeTLlama 2 7B Chat
C46
7B13.2 GB52 tok/s56K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B9.3 GB220 tok/s79K ctx
dense
UnslothQwen3.5 9B
C46
9B14.7 GB40 tok/s50K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C46
7B13.2 GB52 tok/s56K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C46
9B14.7 GB40 tok/s50K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C46
8B13.9 GB45 tok/s53K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C46
7B13.2 GB52 tok/s56K ctx
dense
XtunerXllava llama 3 8b v1 1
C46
8B13.9 GB45 tok/s53K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B9.0 GB231 tok/s82K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C46
8B13.9 GB45 tok/s53K ctx
dense
Lmstudio-communityLQwen3.5 9B
C46
9B14.7 GB40 tok/s50K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C46
8B13.9 GB45 tok/s53K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B8.9 GB231 tok/s83K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B422.9 GB2 tok/s4K ctx
moe
MistralDevstral 2 123B Instruct
F0
123B102.1 GB3 tok/s7K ctx
dense
Z.aiGLM-5
F0
744B467.9 GB2 tok/s4K ctx
moe
Moonshot AIKimi K2.5
F0
1000B622.8 GB2 tok/s4K ctx
moe
MistralMistral Large 3
F0
675B426.0 GB2 tok/s4K ctx
+1moe
MistralMistral Small 4 119B
F0
119B81.4 GB9 tok/s9K ctx
moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B306.1 GB2 tok/s4K ctx
moe
AlibabaQwen3-Coder-Next
F0
80B57.4 GB14 tok/s13K ctx
moe
UnslothQwen3.5 122B A10B
F0
122B86.7 GB3 tok/s9K ctx
dense
DeepSeekDeepSeek V3 671B
F0
671B422.9 GB2 tok/s4K ctx
moe
MistralMixtral 8x22B
F0
141B99.9 GB5 tok/s7K ctx
moe
AlibabaQwen 2.5 72B
F0
72B63.0 GB5 tok/s12K ctx
dense
AlibabaQwen 3 235B A22B
F0
235B154.6 GB4 tok/s5K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B312.0 GB2 tok/s4K ctx
dense
MetaLlama 3.3 70B
F0
70B61.4 GB5 tok/s12K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B254.5 GB3 tok/s4K ctx
moe
CohereCommand A 111B
F0
111B92.9 GB3 tok/s8K ctx
dense
AlibabaQwen 2.5 VL 72B
F0
72B63.0 GB5 tok/s12K ctx
dense

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 ~428.7 GB
MistralDevstral 2 123B Instruct
123BTier 5Needs ~121.3 GB
Runs on Mac Studio M3 Ultra 256GB
Z.aiGLM-5
744BTier 5Needs ~474.2 GB
Moonshot AIKimi K2.5
1000BTier 5Needs ~627.8 GB
MistralMistral Large 3
675BTier 5Needs ~432.4 GB

Upgrade paths

Upgrade from MacBook Pro M1 Max 64GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA A40 48GBNext step up
696 GB/s (+296)
A
Unlocks Qwen3-Coder-Next+146% faster avg

 

AppleMac Studio M3 Ultra 96GBApple upgrade
96 GB Unified (+32)819 GB/s (+419)
A
Unlocks Qwen3-Coder-Next, Qwen 2.5 72B, Llama 3.3 70B+9 more · +144% faster avg

 

AppleMacBook Pro M3 Max 128GBBest value
128 GB Unified (+64)
B
Unlocks Mistral Small 4 119B, Qwen3-Coder-Next, Qwen 2.5 72B+13 more · +4% faster avg

~$2,499 MSRP

AMDAMD Instinct MI350X 288GBBiggest leap
288 GB VRAM (+224)8000 GB/s (+7600)
A
Unlocks Devstral 2 123B Instruct, Mistral Small 4 119B, Qwen3-Coder 480B A35B Instruct+27 more · +2324% faster avg

~$8,000 MSRP

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