What AI models can Apple M4 Pro (24GB Unified) run?

The Apple M4 Pro (24GB Unified) can run 24 AI models. Top performers include Llama 3.2 1B Instruct, Gemma 4 26B-A4B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.

Is Apple M4 Pro (24GB Unified) good for AI coding?

Yes. With 24 GB, the Apple M4 Pro (24GB Unified) supports the Power AI Coding tier: large coding models at good quality.

How much VRAM does Apple M4 Pro (24GB Unified) have?

The Apple M4 Pro (24GB Unified) has 24 GB of unified memory with 273 GB/s bandwidth.

Can Apple M4 Pro (24GB Unified) run 70B models?

70B models can run on the Apple M4 Pro (24GB Unified) with CPU offloading, but performance will be reduced. Consider a GPU with 48GB+ VRAM for full-speed 70B inference.

Is Apple M4 Pro (24GB Unified) worth it for AI?

At $1,999, the Apple M4 Pro (24GB Unified) offers 24 GB VRAM and runs 24 AI models. It handles local AI inference well.

Apple Silicon

Apple M4 Pro (24GB Unified)

24 GB Unified · 273 GB/s

From

$1,999

Estimated street price

VRAM

24 GB

Bandwidth

273 GB/s

TDP

45W

Models

Tier

Power

The Apple M4 Pro (24GB Unified) with 24 GB unified memory can handle 24 AI models across chat, coding, ai_coding. Best performance: Llama 3.2 1B Instruct at 90 tok/s (excellent). For AI coding workflows, it supports the Power AI Coding tier, running 32B coding models at good quality. Current price: approximately $1,999.

Source: OwnRig methodology

VRAM

24 GB

Bandwidth

273 GB/s

Memory Type

Unified

TDP

45W

GPU Cores

Host Devices

MacBook Pro 14", MacBook Pro 16", Mac Mini

Builder Capability: Power AI Coding

Runs 32B coding models at good quality. Can handle coding model + embeddings concurrently.

Software

Inference Backends

The software stacks that matter most for real-world inference on this device.

Metal

production

Primary Apple Silicon backend across MLX and llama.cpp workloads.

What it can run

24 models


Arcee Trinity Mini 26B	Q5_K_M	21 tok/s	Good
Arcee Trinity Nano 6B	Q8_0	59 tok/s	Excellent
DeepSeek V3	Q2_K	–	Not viable
Gemma 3 27B	Q4_K_M	8 tok/s	Acceptable
Gemma 3 4B	Q5_K_M	38 tok/s	Good
Gemma 4 26B-A4B	Q4_K_M	71 tok/s	Excellent
Gemma 4 31B	Q4_K_M	10 tok/s	Marginal
Gemma 4 E2B	Q8_0	41 tok/s	Good
Gemma 4 E4B	Q8_0	25 tok/s	Acceptable
GigaChat Lightning 10B	Q8_0	50 tok/s	Good
Llama 3.1 8B Instruct	Q8_0	32 tok/s	Good
Llama 3.2 11B Vision	Q8_0	28 tok/s	Good
Llama 3.2 1B Instruct	Q8_0	90 tok/s	Excellent
Llama 3.2 3B Instruct	Q8_0	60 tok/s	Excellent
NVIDIA Nemotron-3-super-120B-A12B	Q2_K	8 tok/s	Marginal
Phi-4 Mini	Q8_0	55 tok/s	Excellent
Qwen 2.5 Coder 32B Instruct	Q4_K_M	10 tok/s	Acceptable
Qwen 2.5 Coder 7B Instruct	Q5_K_M	35 tok/s	Good
Qwen3.5-122B-A10B	Q3_K_M	8 tok/s	Marginal
Qwen3.5-27B	Q5_K_M	18 tok/s	Acceptable
Qwen3.5-397B (MoE)	Q2_K	–	Not viable
Qwen3.6-27B	Q5_K_M	18 tok/s	Acceptable
Stable Diffusion 3.5 Large	FP16	–	Acceptable
Whisper Large V3 Turbo	FP16	–	Excellent

Showing 24 of 24 entries

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FAQ

Frequently Asked Questions

What AI models can Apple M4 Pro (24GB Unified) run?: The Apple M4 Pro (24GB Unified) can run 24 AI models. Top performers include Llama 3.2 1B Instruct, Gemma 4 26B-A4B, Llama 3.2 3B Instruct. See the full compatibility table above for speeds and quality ratings.
Is Apple M4 Pro (24GB Unified) good for AI coding?: Yes. With 24 GB, the Apple M4 Pro (24GB Unified) supports the Power AI Coding tier: large coding models at good quality.
How much VRAM does Apple M4 Pro (24GB Unified) have?: The Apple M4 Pro (24GB Unified) has 24 GB of unified memory with 273 GB/s bandwidth.
Can Apple M4 Pro (24GB Unified) run 70B models?: 70B models can run on the Apple M4 Pro (24GB Unified) with CPU offloading, but performance will be reduced. Consider a GPU with 48GB+ VRAM for full-speed 70B inference.
Is Apple M4 Pro (24GB Unified) worth it for AI?: At $1,999, the Apple M4 Pro (24GB Unified) offers 24 GB VRAM and runs 24 AI models. It handles local AI inference well.

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