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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 M3 Ultra 96GB
Apple

Apple

Mac Studio M3 Ultra 96GB

M3DesktopM3UNIFIEDMetal
96GB
Unified Memory
819GB/s
Bandwidth

About this GPU for AI

Mac Studio M3 Ultra 96GB with 96 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 Memory96 GB
Bandwidth819 GB/s
General
FamilyM3
SegmentDesktop
InterconnectUNIFIED
Compute PlatformMETAL

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 should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.

Decode 34.6 tok/s · 36K ctx · llama.cpp
61.0 GB / 96.0 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 28.5 tok/s · 17K ctx · llama.cpp
33.3 GB / 96.0 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 should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.

Decode 34.6 tok/s · 18K ctx · llama.cpp
60.9 GB / 96.0 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 26.1 tok/s · 51K ctx · llama.cpp
43.6 GB / 96.0 GB Unified Memory

Reasoning

C

Qwen 3 32B

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 28.5 tok/s · 31K ctx · llama.cpp
35.8 GB / 96.0 GB Unified Memory

Full Model Compatibility

AlibabaQwen3-Coder 30B A3B Instruct
C51
30.5B30.7 GB77 tok/s36K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
C51
30B30.4 GB80 tok/s36K ctx
moe
AlibabaQwen3-Coder-Next
C51
80B60.9 GB35 tok/s18K ctx
moe
UnslothQwen3.5 35B A3B
C50
35B38.1 GB26 tok/s29K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
C50
35B38.1 GB26 tok/s29K ctx
dense
AlibabaQwen 2.5 Coder 32B
C49
32B35.8 GB29 tok/s31K ctx
dense
UnslothQwen3.5 27B
C49
27B32.0 GB34 tok/s35K ctx
dense
Unslothgemma 3 27b it
C49
27B32.0 GB34 tok/s35K ctx
dense
MistralDevstral Small 2 24B Instruct
C49
24B29.7 GB38 tok/s37K ctx
dense
MistralDevstral Small 1.1
C48
24B29.7 GB38 tok/s37K ctx
dense
MistralCodestral 2 25.08
C48
22B28.1 GB42 tok/s39K ctx
dense
MetaLlama 3.3 70B
C48
70B64.9 GB13 tok/s17K ctx
dense
UnslothQwen3.5 9B
C48
9B18.2 GB101 tok/s61K ctx
dense
AlibabaQwen 2.5 72B
C48
72B66.4 GB13 tok/s17K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C48
9B18.2 GB101 tok/s61K ctx
dense
AlibabaQwen 2.5 VL 72B
C48
72B66.4 GB13 tok/s17K ctx
dense
Lmstudio-communityLQwen3.5 9B
C48
9B18.2 GB101 tok/s61K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C48
8B17.4 GB114 tok/s64K ctx
dense
XtunerXllava llama 3 8b v1 1
C48
8B17.4 GB114 tok/s64K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C48
8B17.4 GB114 tok/s64K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C47
8B17.4 GB114 tok/s64K ctx
dense
TheBlokeTLlama 2 7B Chat
C47
7B16.6 GB130 tok/s66K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C47
7B16.6 GB130 tok/s66K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C47
7B16.6 GB130 tok/s66K ctx
dense
UnslothQwen3.5 4B
C47
4B14.5 GB228 tok/s76K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C47
3B14.2 GB263 tok/s78K ctx
dense
Lmstudio-communityLgemma 3 4b it
C47
4B14.5 GB228 tok/s76K ctx
dense
BartowskiBgemma 2 2b it
C46
2B13.7 GB357 tok/s81K ctx
dense
QwenQwen2.5 3B Instruct
C46
3B13.9 GB304 tok/s80K ctx
dense
Googlegemma 2b
C46
2B13.3 GB457 tok/s83K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C46
2B13.3 GB457 tok/s83K ctx
dense
QwenQwen2.5 1.5B Instruct
C46
1.5B13.0 GB557 tok/s85K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C46
1B12.9 GB585 tok/s86K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B12.7 GB557 tok/s87K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B12.5 GB585 tok/s89K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B12.3 GB585 tok/s90K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B426.4 GB4 tok/s4K ctx
moe
MistralDevstral 2 123B Instruct
F0
123B105.5 GB7 tok/s10K ctx
dense
Z.aiGLM-5
F0
744B471.4 GB4 tok/s4K ctx
moe
Moonshot AIKimi K2.5
F0
1000B626.3 GB3 tok/s4K ctx
moe
MistralMistral Large 3
F0
675B429.4 GB4 tok/s4K ctx
+1moe
MistralMistral Small 4 119B
F0
119B84.9 GB22 tok/s13K ctx
moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B309.5 GB5 tok/s4K ctx
moe
UnslothQwen3.5 122B A10B
F0
122B90.1 GB9 tok/s12K ctx
dense
DeepSeekDeepSeek V3 671B
F0
671B426.4 GB4 tok/s4K ctx
moe
MistralMixtral 8x22B
F0
141B103.4 GB12 tok/s11K ctx
moe
AlibabaQwen 3 235B A22B
F0
235B158.1 GB10 tok/s7K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B315.5 GB2 tok/s4K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B257.9 GB7 tok/s4K ctx
moe
CohereCommand A 111B
F0
111B96.3 GB8 tok/s11K 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 ~432.1 GB
MistralDevstral 2 123B Instruct
123BTier 5Needs ~124.7 GB
Runs on Mac Studio M3 Ultra 256GB
Z.aiGLM-5
744BTier 5Needs ~477.6 GB
Moonshot AIKimi K2.5
1000BTier 5Needs ~631.3 GB
MistralMistral Large 3
675BTier 5Needs ~435.8 GB

Upgrade paths

Upgrade from Mac Studio M3 Ultra 96GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA A100 80GBNext step up
2039 GB/s (+1220)
A
Unlocks Mistral Small 4 119B, Llama 4 Scout 17B 16E+206% faster avg

~$15,000 MSRP

AppleMac Studio M2 Ultra 128GBApple upgrade
128 GB Unified (+32)
B
Unlocks Mistral Small 4 119B, Llama 4 Scout 17B 16E, Solar Open 100B+1 more

~$3,999 MSRP

AMDAMD Instinct MI325X 256GBBiggest leap
256 GB VRAM (+160)6000 GB/s (+5181)
A
Unlocks Devstral 2 123B Instruct, Mistral Small 4 119B, Qwen3.5 122B A10B+14 more · +647% faster avg

 

AMDAMD Instinct MI350X 288GBBest value
288 GB VRAM (+192)8000 GB/s (+7181)
A
Unlocks Devstral 2 123B Instruct, Mistral Small 4 119B, Qwen3-Coder 480B A35B Instruct+15 more · +893% faster avg

~$8,000 MSRP

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