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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/Mac mini M4 64GB
Apple

Apple

Mac mini M4 64GB

M4DesktopM4UNIFIEDMetal
64GB
Unified Memory
120GB/s
Bandwidth
$1,099 MSRP

About this GPU for AI

Mac mini M4 64GB with 64 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 Memory64 GB
Bandwidth120 GB/s
General
FamilyM4
SegmentDesktop
InterconnectUNIFIED
Compute PlatformMETAL
MSRP$1,099

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

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 5.9 tok/s · 49K ctx · llama.cpp
30.0 GB / 64.0 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 4.4 tok/s · 12K ctx · llama.cpp
29.8 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 5.9 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 6.7 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 5.9 tok/s · 28K ctx · llama.cpp
26.2 GB / 64.0 GB Unified Memory

Full Model Compatibility

AlibabaQwen3-Coder 30B A3B Instruct
C48
30.5B27.2 GB12 tok/s27K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
C48
30B26.9 GB12 tok/s27K ctx
moe
AlibabaQwen 2.5 Coder 32B
C48
32B32.3 GB4 tok/s23K ctx
dense
UnslothQwen3.5 35B A3B
C48
35B34.6 GB4 tok/s21K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
C47
35B34.6 GB4 tok/s21K ctx
dense
UnslothQwen3.5 27B
C47
27B28.5 GB5 tok/s26K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C47
1B9.4 GB91 tok/s78K ctx
dense
Unslothgemma 3 27b it
C46
27B28.5 GB5 tok/s26K ctx
dense
QwenQwen2.5 1.5B Instruct
C46
1.5B9.5 GB86 tok/s77K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B9.0 GB91 tok/s82K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B9.3 GB86 tok/s79K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B8.9 GB91 tok/s83K ctx
dense
Googlegemma 2b
C46
2B9.8 GB71 tok/s75K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C46
2B9.8 GB71 tok/s75K ctx
dense
MistralDevstral Small 2 24B Instruct
C46
24B26.2 GB6 tok/s28K ctx
dense
MistralDevstral Small 1.1
C46
24B26.2 GB6 tok/s28K ctx
dense
BartowskiBgemma 2 2b it
C45
2B10.3 GB55 tok/s72K ctx
dense
MistralCodestral 2 25.08
C45
22B24.7 GB6 tok/s30K ctx
dense
QwenQwen2.5 3B Instruct
C45
3B10.4 GB47 tok/s71K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C45
3B10.8 GB41 tok/s68K ctx
dense
UnslothQwen3.5 4B
C44
4B11.1 GB35 tok/s67K ctx
dense
Lmstudio-communityLgemma 3 4b it
C44
4B11.1 GB35 tok/s67K ctx
dense
TheBlokeTLlama 2 7B Chat
C43
7B13.2 GB20 tok/s56K ctx
dense
UnslothQwen3.5 9B
C43
9B14.7 GB16 tok/s50K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C43
7B13.2 GB20 tok/s56K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C43
9B14.7 GB16 tok/s50K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C43
8B13.9 GB18 tok/s53K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C43
7B13.2 GB20 tok/s56K ctx
dense
XtunerXllava llama 3 8b v1 1
C43
8B13.9 GB18 tok/s53K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C43
8B13.9 GB18 tok/s53K ctx
dense
Lmstudio-communityLQwen3.5 9B
C43
9B14.7 GB16 tok/s50K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C43
8B13.9 GB18 tok/s53K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B422.9 GB2 tok/s4K ctx
moe
MistralDevstral 2 123B Instruct
F0
123B102.1 GB2 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 GB4 tok/s9K ctx
moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B306.1 GB2 tok/s4K ctx
moe
AlibabaQwen3-Coder-Next
F0
80B57.4 GB5 tok/s13K ctx
moe
UnslothQwen3.5 122B A10B
F0
122B86.7 GB2 tok/s9K ctx
dense
DeepSeekDeepSeek V3 671B
F0
671B422.9 GB2 tok/s4K ctx
moe
MistralMixtral 8x22B
F0
141B99.9 GB2 tok/s7K ctx
moe
AlibabaQwen 2.5 72B
F0
72B63.0 GB2 tok/s12K ctx
dense
AlibabaQwen 3 235B A22B
F0
235B154.6 GB2 tok/s5K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B312.0 GB2 tok/s4K ctx
dense
MetaLlama 3.3 70B
F0
70B61.4 GB2 tok/s12K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B254.5 GB2 tok/s4K ctx
moe
CohereCommand A 111B
F0
111B92.9 GB2 tok/s8K ctx
dense
AlibabaQwen 2.5 VL 72B
F0
72B63.0 GB2 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 Mac mini M4 64GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA A40 48GBNext step up
696 GB/s (+576)
A
Unlocks Qwen3-Coder-Next+527% faster avg

 

AppleMac Studio M3 Ultra 96GBApple upgrade
96 GB Unified (+32)819 GB/s (+699)
A
Unlocks Qwen3-Coder-Next, Qwen 2.5 72B, Llama 3.3 70B+9 more · +522% faster avg

 

AppleMacBook Pro M3 Max 128GBBest value
128 GB Unified (+64)400 GB/s (+280)
B
Unlocks Mistral Small 4 119B, Qwen3-Coder-Next, Qwen 2.5 72B+13 more · +165% faster avg

~$2,499 MSRP

AMDAMD Instinct MI350X 288GBBiggest leap
288 GB VRAM (+224)8000 GB/s (+7880)
A
Unlocks Devstral 2 123B Instruct, Mistral Small 4 119B, Qwen3-Coder 480B A35B Instruct+27 more · +6076% faster avg

~$8,000 MSRP

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