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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 Pro 18GB
Apple

Apple

MacBook Pro M3 Pro 18GB

M3LaptopM3UNIFIEDMetal
18GB
Unified Memory
150GB/s
Bandwidth
$1,999 MSRP

About this GPU for AI

MacBook Pro M3 Pro 18GB with 18 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 Memory18 GB
Bandwidth150 GB/s
General
FamilyM3
SegmentLaptop
InterconnectUNIFIED
Compute PlatformMETAL
MSRP$1,999

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

Granite 3.1 8B

This model is still usable for agentic-coding, but it is not the most specialized pick. It sits in the middle of the current model mix. It fits natively with comfortable headroom. Known channels: huggingface, ollama.

Decode 22.4 tok/s · 41K ctx · llama.cpp
10.2 GB / 18.0 GB Unified Memory

Chat

C

Qwen 3 8B

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 22.4 tok/s · 12K ctx · llama.cpp
8.5 GB / 18.0 GB Unified Memory

Coding

C

Codestral Mamba 7B

This model is still usable for coding, but it is not the most specialized pick. It sits in the middle of the current model mix. It fits natively with comfortable headroom. Known channels: huggingface, ollama.

Decode 25.6 tok/s · 25K ctx · llama.cpp
8.2 GB / 18.0 GB Unified Memory

RAG

C

granite 8b code instruct 4k

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 22.4 tok/s · 41K ctx · llama.cpp
10.2 GB / 18.0 GB Unified Memory

Reasoning

C

Qwen 3 8B

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 22.4 tok/s · 23K ctx · llama.cpp
9.0 GB / 18.0 GB Unified Memory

Full Model Compatibility

BartowskiBMeta Llama 3.1 8B Instruct
C53
8B9.0 GB22 tok/s23K ctx
dense
XtunerXllava llama 3 8b v1 1
C52
8B9.0 GB22 tok/s23K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C52
8B9.0 GB22 tok/s23K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C52
8B9.0 GB22 tok/s23K ctx
dense
UnslothQwen3.5 9B
C52
9B9.7 GB20 tok/s21K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C52
9B9.7 GB20 tok/s21K ctx
dense
Lmstudio-communityLQwen3.5 9B
C52
9B9.7 GB20 tok/s21K ctx
dense
TheBlokeTLlama 2 7B Chat
C52
7B8.2 GB26 tok/s25K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C52
7B8.2 GB26 tok/s25K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C51
7B8.2 GB26 tok/s25K ctx
dense
Googlegemma 2b
C50
2B4.9 GB90 tok/s43K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C50
2B4.9 GB90 tok/s43K ctx
dense
BartowskiBgemma 2 2b it
C50
2B5.3 GB70 tok/s39K ctx
dense
UnslothQwen3.5 4B
C50
4B6.1 GB45 tok/s34K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C50
3B5.8 GB52 tok/s36K ctx
dense
QwenQwen2.5 3B Instruct
C50
3B5.5 GB60 tok/s38K ctx
dense
Lmstudio-communityLgemma 3 4b it
C50
4B6.1 GB45 tok/s34K ctx
dense
QwenQwen2.5 1.5B Instruct
C50
1.5B4.6 GB110 tok/s45K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C50
1B4.5 GB115 tok/s46K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C49
1.1B4.3 GB110 tok/s48K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C49
0.5B4.1 GB115 tok/s51K ctx
dense
Ggml-orgGembeddinggemma 300M
C49
0.3B3.9 GB115 tok/s53K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B417.9 GB2 tok/s4K ctx
moe
MistralDevstral 2 123B Instruct
F0
123B97.1 GB2 tok/s4K ctx
dense
Z.aiGLM-5
F0
744B462.9 GB2 tok/s4K ctx
moe
UnslothQwen3.5 27B
F0
27B23.5 GB7 tok/s9K ctx
dense
UnslothQwen3.5 35B A3B
F0
35B29.7 GB5 tok/s7K ctx
dense
Moonshot AIKimi K2.5
F0
1000B617.8 GB2 tok/s4K ctx
moe
MistralMistral Large 3
F0
675B421.0 GB2 tok/s4K ctx
+1moe
MistralMistral Small 4 119B
F0
119B76.4 GB4 tok/s4K ctx
moe
AlibabaQwen3-Coder 30B A3B Instruct
F0
30.5B22.2 GB15 tok/s9K ctx
moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B301.1 GB2 tok/s4K ctx
moe
AlibabaQwen3-Coder-Next
F0
80B52.4 GB7 tok/s4K ctx
moe
UnslothQwen3.5 122B A10B
F0
122B81.7 GB2 tok/s4K ctx
dense
DeepSeekDeepSeek V3 671B
F0
671B417.9 GB2 tok/s4K ctx
moe
MistralMixtral 8x22B
F0
141B94.9 GB2 tok/s4K ctx
moe
AlibabaQwen 2.5 72B
F0
72B58.0 GB3 tok/s4K ctx
dense
AlibabaQwen 3 235B A22B
F0
235B149.6 GB2 tok/s4K ctx
moe
AlibabaQwen3-VL 30B A3B Instruct
F0
30B21.9 GB16 tok/s9K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B307.0 GB2 tok/s4K ctx
dense
MistralDevstral Small 2 24B Instruct
F0
24B21.2 GB8 tok/s10K ctx
dense
MetaLlama 3.3 70B
F0
70B56.5 GB3 tok/s4K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B249.5 GB2 tok/s4K ctx
moe
CohereCommand A 111B
F0
111B87.9 GB2 tok/s4K ctx
dense
AlibabaQwen 2.5 Coder 32B
F0
32B27.4 GB6 tok/s8K ctx
dense
AlibabaQwen 2.5 VL 72B
F0
72B58.0 GB3 tok/s4K ctx
dense
Unslothgemma 3 27b it
F0
27B23.5 GB7 tok/s9K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
F0
35B29.7 GB5 tok/s7K ctx
dense
MistralCodestral 2 25.08
F0
22B19.7 GB8 tok/s11K ctx
dense
MistralDevstral Small 1.1
F0
24B21.2 GB8 tok/s10K 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 ~423.7 GB
MistralDevstral 2 123B Instruct
123BTier 5Needs ~116.3 GB
Runs on Mac Studio M3 Ultra 256GB
Z.aiGLM-5
744BTier 5Needs ~469.2 GB
UnslothQwen3.5 27B
27BTier 5Needs ~27.8 GB
Runs on RTX 5090 32GB (~$1,999)
UnslothQwen3.5 35B A3B
35BTier 5Needs ~35.1 GB
Runs on Mac mini M4 64GB (~$1,099)

Upgrade paths

Upgrade from MacBook Pro M3 Pro 18GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

NVIDIANVIDIA A2 16GBNext step up
200 GB/s (+50)
A
Unlocks StarCoder 15B, DeepSeek R1 Distill Qwen 14B, Phi-4-reasoning-plus 14B+22 more · +32% faster avg

 

AMDRX 7600 XT 16GBBest value
288 GB/s (+138)
A
Unlocks StarCoder 15B, DeepSeek R1 Distill Qwen 14B, Phi-4-reasoning-plus 14B+22 more · +41% faster avg

~$329 MSRP

AppleMacBook Pro M3 24GBApple upgrade
24 GB Unified (+6)
A
Unlocks StarCoder 15B, DeepSeek R1 Distill Qwen 14B, Phi-4-reasoning-plus 14B+22 more

~$1,099 MSRP

AMDAMD Instinct MI350X 288GBBiggest leap
288 GB VRAM (+270)8000 GB/s (+7850)
A
Unlocks Devstral 2 123B Instruct, Qwen3.5 27B, Qwen3.5 35B A3B+106 more · +3734% faster avg

~$8,000 MSRP

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