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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 Studio M2 Ultra 64GB
Apple

Apple

Mac Studio M2 Ultra 64GB

M2DesktopM2UNIFIEDMetal
64GB
Unified Memory
800GB/s
Bandwidth
$3,999 MSRP

About this GPU for AI

Mac Studio M2 Ultra 64GB with 64 GB unified memory. Second-generation Apple Silicon with improved GPU performance and memory bandwidth, offering a strong balance of efficiency and AI capability.

Specifications

Compute
ArchitectureM2
Memory
Unified Memory64 GB
Bandwidth800 GB/s
General
FamilyM2
SegmentDesktop
InterconnectUNIFIED
Compute PlatformMETAL
MSRP$3,999

For AI Workloads

Strengths
  • Improved memory bandwidth over M1 (~50% increase)
  • Unified memory architecture ideal for LLM inference
  • Strong MLX ecosystem support
  • Excellent performance per watt
Considerations
  • Still limited by memory capacity in base configurations
  • Lower bandwidth than discrete datacenter GPUs

Architecture

M2

Apple M2 is the second generation of Apple Silicon, with improved GPU cores and higher memory bandwidth. The M2 Ultra scales to 192 GB unified memory via UltraFusion die-to-die interconnect.

AI Relevance

Higher memory bandwidth (~50% more than M1 in Ultra config) directly improves token generation speed for LLMs. The M2 Ultra with 192 GB unified memory can run 70B models at full Q4 quantization with good performance.

Process: TSMC 5nm (2nd gen)Platform: METALPrecisions: FP32, FP16

M2 brings a 10-core GPU with improved memory bandwidth. The 100 GB/s bandwidth in base models and up to 200 GB/s in Pro/Max variants provides solid decode throughput for local LLMs.

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 31.7 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 64.5 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 31.7 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 36.2 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 31.7 tok/s · 28K ctx · llama.cpp
26.2 GB / 64.0 GB Unified Memory

Full Model Compatibility

AlibabaQwen3-Coder 30B A3B Instruct
C54
30.5B27.2 GB65 tok/s27K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
C54
30B26.9 GB67 tok/s27K ctx
moe
AlibabaQwen 2.5 Coder 32B
C53
32B32.3 GB24 tok/s23K ctx
dense
UnslothQwen3.5 35B A3B
C53
35B34.6 GB22 tok/s21K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
C52
35B34.6 GB22 tok/s21K ctx
dense
UnslothQwen3.5 27B
C52
27B28.5 GB28 tok/s26K ctx
dense
Unslothgemma 3 27b it
C52
27B28.5 GB28 tok/s26K ctx
dense
MistralDevstral Small 2 24B Instruct
C51
24B26.2 GB32 tok/s28K ctx
dense
MistralDevstral Small 1.1
C51
24B26.2 GB32 tok/s28K ctx
dense
MistralCodestral 2 25.08
C50
22B24.7 GB35 tok/s30K ctx
dense
UnslothQwen3.5 9B
C49
9B14.7 GB85 tok/s50K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C49
9B14.7 GB85 tok/s50K ctx
dense
Lmstudio-communityLQwen3.5 9B
C49
9B14.7 GB85 tok/s50K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C49
8B13.9 GB95 tok/s53K ctx
dense
XtunerXllava llama 3 8b v1 1
C49
8B13.9 GB95 tok/s53K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C49
8B13.9 GB95 tok/s53K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C49
8B13.9 GB95 tok/s53K ctx
dense
TheBlokeTLlama 2 7B Chat
C48
7B13.2 GB109 tok/s56K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C48
7B13.2 GB109 tok/s56K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C48
7B13.2 GB109 tok/s56K ctx
dense
UnslothQwen3.5 4B
C47
4B11.1 GB190 tok/s67K ctx
dense
Lmstudio-communityLgemma 3 4b it
C47
4B11.1 GB190 tok/s67K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C47
3B10.8 GB219 tok/s68K ctx
dense
BartowskiBgemma 2 2b it
C47
2B10.3 GB297 tok/s72K ctx
dense
QwenQwen2.5 3B Instruct
C47
3B10.4 GB254 tok/s71K ctx
dense
Googlegemma 2b
C47
2B9.8 GB380 tok/s75K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C47
2B9.8 GB380 tok/s75K ctx
dense
QwenQwen2.5 1.5B Instruct
C47
1.5B9.5 GB464 tok/s77K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C47
1B9.4 GB487 tok/s78K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B9.3 GB464 tok/s79K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B9.0 GB487 tok/s82K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B8.9 GB487 tok/s83K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B422.9 GB3 tok/s4K ctx
moe
MistralDevstral 2 123B Instruct
F0
123B102.1 GB6 tok/s7K ctx
dense
Z.aiGLM-5
F0
744B467.9 GB3 tok/s4K ctx
moe
Moonshot AIKimi K2.5
F0
1000B622.8 GB2 tok/s4K ctx
moe
MistralMistral Large 3
F0
675B426.0 GB3 tok/s4K ctx
+1moe
MistralMistral Small 4 119B
F0
119B81.4 GB19 tok/s9K ctx
moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B306.1 GB4 tok/s4K ctx
moe
AlibabaQwen3-Coder-Next
F0
80B57.4 GB29 tok/s13K ctx
moe
UnslothQwen3.5 122B A10B
F0
122B86.7 GB7 tok/s9K ctx
dense
DeepSeekDeepSeek V3 671B
F0
671B422.9 GB3 tok/s4K ctx
moe
MistralMixtral 8x22B
F0
141B99.9 GB10 tok/s7K ctx
moe
AlibabaQwen 2.5 72B
F0
72B63.0 GB11 tok/s12K ctx
dense
AlibabaQwen 3 235B A22B
F0
235B154.6 GB9 tok/s5K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B312.0 GB2 tok/s4K ctx
dense
MetaLlama 3.3 70B
F0
70B61.4 GB11 tok/s12K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B254.5 GB6 tok/s4K ctx
moe
CohereCommand A 111B
F0
111B92.9 GB7 tok/s8K ctx
dense
AlibabaQwen 2.5 VL 72B
F0
72B63.0 GB11 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 Studio M2 Ultra 64GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA A40 48GBNext step up
A
Unlocks Qwen3-Coder-Next+17% faster avg

 

AppleMac Studio M3 Ultra 96GBApple upgrade
96 GB Unified (+32)819 GB/s (+19)
A
Unlocks Qwen3-Coder-Next, Qwen 2.5 72B, Llama 3.3 70B+9 more · +16% 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

~$2,499 MSRP

AMDAMD Instinct MI350X 288GBBiggest leap
288 GB VRAM (+224)8000 GB/s (+7200)
A
Unlocks Devstral 2 123B Instruct, Mistral Small 4 119B, Qwen3-Coder 480B A35B Instruct+27 more · +1049% faster avg

~$8,000 MSRP

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